03 - SYNOPSIS - Garry Cacho (Autosaved)
Transcript of 03 - SYNOPSIS - Garry Cacho (Autosaved)
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SYNOPSIS OF THE TECHNICAL REPORT
TITLE: SOFTWARE DEVELOPMENT OF GEOGRAPHIC POSITIONING
SYSTEM BASED LOAD FLOW SIMULATION FOR THE
ELECTRIC COOPERATIVES
ABSTRACT:
There are three hierarchical layers of an electrical power system in the
Philippines, mainly the generation, transmission and lastly the distribution system.
Each of these layers is dependent to each other in terms of technical and economicimpact. But to say the most, traditionally distribution system gets the least attention
by the central corridors of power. But in reality, it is often the most critical layer of
the electrical power infrastructure in terms on its impact on cost of electricity,
quality of service, reliability and the society as a whole.
Just like the other layers of the electric power infrastructure, severalpolitical, technical and economic changes that are mandating the way on how to
build, manage and operate the private distribution utilities (DUs) and electric
cooperatives (ECs). Deregulation and open access is pushing on the DUs andECs to focus its emphasis on cost cutting, reliability and quality of service. The
great fear of deregulation is that service will suffer because of cost cutting.
Regulators and utility consumers are paying considerable attention to reliability and
quality. Customers are pressing for lower costs, better reliability, and less visualimpact from utility distribution systems.
Deregulation and technical changes increase the need of an electric
cooperative engineer for better brain tools and information. Load flow simulation
software is the primary brain tool of an electric cooperative engineer to carry outthe task of optimizing the operation of the distribution infrastructure. The focus of
this technical report is to develop an in-depth understanding on how JAED.NS (Just
Another Electric Distribution Network Simulator) was engineered, mainly on its
load flow capabilities and its data structure.
JAED.NS is only a star of the electric system simulation software galaxy. Its
existence is derived from my personal need to bridge the gap between geographicinformation system and electric system simulator. Traditionally, in a distribution
utility, geographic information system and electric system simulator is a very
dissimilar species. They often clash its other, defeating the purpose of its existence.Data from geographic information system is most of the time difficult to convert to
electric system simulator data. JAED.NS is a hybrid of both geographic information
system and electric system simulator, naturally eliminating the cons of being twoseparate systems. JAED.NS offer better data usability, integration and user
interface.
JAED.NS main data is fetched fresh from geographic positioning system(GPS) handheld thereby eliminating tedious manual data conversion. It has the
facility to process GPS data and with little effort, engineers can see the fruit of their
labor which is the simulation output in less time.
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TABLE OF CONTENTS
PREFACE
PROFILE OF JAED.NS AS A SOFTWARE
PROFILE OF SUBSTATION SPECIMEN
OBJECTIVE
I. ELECTRICAL EQUIPMENT MODELING1. Purpose of Modeling2. Model Limitations3. Development of Equipment Modeling4. Model Data Structure5. Data Acquisition Methodology6. Map of Specimen Substation7. Building Blocks of Test Substation
a. Sub-transmission Lineb.
Power Transformerc. Automatic Voltage Regulator
d. Primary Distribution linee. Distribution Transformerf. Capacitorg. Secondary Distribution Lineh. Service Dropi. Embedded Generatorj. Load Modelsk. Load Curve
II. GEOGRAPHIC POSITIONING SYSTEM1. Introduction to GPS2. GPS Data Gathering Methodology
a. GPS Mark-up Languageb. Data Extraction and Storage
3. Geo-ReferencingIII. LOAD FLOW ALGORITHM
1. Introduction to Load Flow Algorithm2. Forward-Backward Load Flow3. Application of Equipment Model to Load Flow4. Application of Load/Generator Model to Load Flow5. Radial Network Topology for Load Flow6. Load Flow Methodology of JAED.NS7. Load Flow Output
a. Summaryb. Per Hour / Per Section Output Table
IV. APPLICATION OF JAED.NS OUTPUT1. Load Flow Analysis2. Substation Power Factor Improvement3. Backbone Line Voltage Improvement and Balancing4. Backbone Line Load Balancing5. Distribution Transformer Load Balancing6. Embedded AVR Settings7. Embedded Generator Output Optimization
V. RECOMMENDATIONS/CONCLUSIONVI. FIGURES/ MAPVII. TABLESBIBLIOGRAPHY & REFERENCES
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PREFACE
Load flow simulation is a very mature electrical engineering tool used for a
myriad of applications. Over the span of a couple of decades starting from the dawn
of computers, load flow software has been developed extensively. From the text
based input data whereby the user is encoding literally the bus-to-bus informationof a section, up to now that user will draw the single line diagram just like
computer-aided design drawing (CAD). However, most of the commercially
available software lacked the ability to support large weakly meshed electricalnetworks such required by the distribution utilities and rural electric cooperatives.
Most often, small rural electric cooperative are put into disadvantage regarding
buying commercially available simulation software since it also needed separate
software for geographic information system (GIS) data acquisition and storage, notto mention an insurmountable financial requirement of data migration from GIS to
simulation software.
As electric cooperative engineer, I envisioned a software that will integrateGIS, data migration and simulation software into a single system such that small
rural cooperatives in the Philippines will benefit to it technically and financially forobvious reason that it will only acquire one software that will do all the task
required. Hence, JAED.NS distribution system simulation software was developed.
JAED.NS is on test run with Cebu I Electric Cooperative Inc. (CEBECO I)
as the flagship user. Its been a challenge for them because of limited manpower
available to do the job. However, even at a slow pace, slowly its line data is been
updated. The integration of JAED.NS to operation and maintenance is the primarygoal of the project. I hope that this will be successfully executed by CEBECO I.
JAED.NS trial version can be downloaded from the internet through this
link:
https://drive.google.com/file/d/0BxMuEQhiVHqabnNMamhhVXpTZ1k/edit?usp=sharing
All the features are available except that it can only manage to process 30km of line
data, however the excess data can be stored in its file system for future use if the
company wish to acquire the full version. JAED.NS has more features other thanload flow like, reliability studies, fault analysis, fuse coordination, load allocation
and line tracing capabilities yet these topics are beyond the scope of this technical
paper.
I thank my loving wife Ms. Grace De La Cruz-Cacho for her all out support
and approval during my struggling times in developing JAED.NS. She inspired meto push through this seemingly gigantic task and finish what I have already started.
I thank her for her patience that I spent more time talking to my laptop than to her
in the conception of the project. She understood my greatest passion, to makeJAED.NS a reality.
I thank my best friend Engr. Nestor Diamada for giving me vital inputs
during the development of JAED.NS. He gave me the idea how to develop thegraphical interface which would become the primary dashboard of the software.
Moreover he also supervised the debugging process and during the dry run of the
software. He sees to it that the final product will be competitive technically andfinancially with the available commercial software in the market.
I thank Chief Engr. Getulio Crodua of Cebu I Electric Cooperative Inc. forhis total support of the development of JAED.NS. He always lend his helping hand
specially in real life data gathering using GPS handheld in Carcar City and the
Municipality of Argao,Cebu which became the basis for the development of
JAED.NS interface and algorithm.
https://drive.google.com/file/d/0BxMuEQhiVHqabnNMamhhVXpTZ1k/edit?usp=sharinghttps://drive.google.com/file/d/0BxMuEQhiVHqabnNMamhhVXpTZ1k/edit?usp=sharinghttps://drive.google.com/file/d/0BxMuEQhiVHqabnNMamhhVXpTZ1k/edit?usp=sharinghttps://drive.google.com/file/d/0BxMuEQhiVHqabnNMamhhVXpTZ1k/edit?usp=sharinghttps://drive.google.com/file/d/0BxMuEQhiVHqabnNMamhhVXpTZ1k/edit?usp=sharing -
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PROFILE OF JAED.NS AS A SOFTWARE
JAED.NS is an acronym for Just Another Electric Distribution Network
Simulator. It is a software used mainly for distribution system basic analysis
namely:
a.
Load Flow Analysisi. Classical Load Flow Analysis in Excel using ERC DSLsegregation format.
ii. Map Based Load FlowData is uploaded from the GPS surveyusing special language called GML. Data is then processed as
line data to be used in the load flow analysis. Equipment load
flow result will be fed back to the map model for easy spatial
analysis.iii. Transformer Load Approximation Load Flow this analysis
is done if the available data for the moment for simulation is only
the primary line and transformer data. Primary feeder metering
data is required to approximate the transformer load using thelatter kVA rating as its weights hence load analysis can be
performed.iv. Distributed Load Approximation Load Flow this is similar
to Transformer Load Approximation Load Flow in process. The
only difference is that in the model, only the primary line data isreadily available. Therefore the primary line length is the basis
for the weights during load approximation.
b. Reliability Studiesi. Feeder failure rate calculationii. SAIFIiii. SAIDIiv. CAIDIv. ASCI
c. Fault Analysisi. Single Line to Ground Faultii. Line to Line Faultiii. Double Line to Ground Faultiv. 3 Phase Faultv. Protection Equipment Coordination
d. Feeder Line Equipment Auditingi. Single Phase Poleii. V Phase Poleiii. Three Phase Poleiv. Secondary Polev. Single Phase Line Lengthvi. V-Phase line Lengthvii. Three Phase Line Lengthviii. Secondary Line Lengthix. Nos. of Distribution Transformersx. Single Phase kVA installedxi. V Phase kVA installedxii. 3 Phase kVA installedxiii. Nos. of Capacitors Installedxiv. Total kVaR installedxv. Nos. of Customers Connected
PROFILE OF SUBSTATION SPECIMEN
Carcar Substation is a typical 69kV/13.2kV 5 MVA substation supplying
two feeders namely Feeder 1 and Feeder 2. It serves mostly Carcar City, Cebu a
city 40 km south of Cebu City, with an approximate population of 100,000. Carcar
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substation wass commissioned on May 1999 and currently serves a total of 13,567
customers with a peak demand of 4.7 MW. Its load curve profile is typical of a ruralarea with peaking load at night starting 19:00 hrs until 22:00 hrs and mostly below
50% of the peak load all throughout the day. It has an average of 8.5% total system
loss. Shown in the below table the basic fact sheet of Carcar Substation as per
feeder basis.
Items Feeder 1 Feeder 2
1. Nos. of Single Phase Pole 1,026 247
2. Nos. of V Phase Pole 1 -
3. Nos. of Three Phase Pole 252 118
4. Nos. of Secondary Pole 2,714 1,138
5. Single Phase Line Length (m) 91,377 20,722
6. V Phase Line Length (m) 72 0
7. Three Phase Line Length (m) 18,611 9,754
8. Secondary Line Length (m) 170,545 56,889
9. Nos. of Dist. Transformer Connected 268 74
10. Connected Single Phase kVA 5,975 1,915
11. Connected V Phase kVA 20 -
12. Connected Three Phase kVA 548 105
13. Nos. of Capacitors 22 3
14. kVAr Installed (Capacitors) 950 75
15. Nos. Medium Voltage Customers 4 1
16. Nos. Low Voltage Customers 10,006 3,556
OBJECTIVE
The objective of this work is to demonstrate how geographical positioning
system and load flow simulation can be merged into a single tool to aid electric
cooperative engineers in evaluating its system performance. A general formulation
is developed to obtain an efficient simulation software taking account the detailedand extensive modeling techniques required in a real world electric cooperative
distribution system. The basic foundation of the simulation software is being
explored in details to develop a common understanding on the engineering
principles used to realize the simulation software.
I. ELECTRICAL EQUIPMENT MODELINGComputer modeling of an electric distribution network starts with its
individual components namely:a. Conductorsb. Transformersc. Connected Loads
Each major components of the system is modeled according to its
responses to the application of source voltage and receiving end current becausenormally these two values can be readily obtained in the substation metering andcustomer revenue metering data respectively. Hence, each model can be
mathematically represented as a two-port circuit with source voltage and receiving
end current as its input, and source current and receiving end voltage as its output.In electric textbooks, this refers to inverse hybrid circuit that is commonly used in
electronic transistor design calculation. This approach in modeling can also usefulin evaluating large cascading network topology as can be seen in a weakly meshed
radial distribution system of the electric cooperatives.
1. Purpose of Modeling The distribution system consists of variouscomponents that are interacting with each other in terms of input
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and output voltages and current. It is necessary to mathematically
model each of these components in order to calculate the degree ofresponsiveness to certain inputs and outputs. There are many
possible configuration a distribution system can be arranged.
Therefore, the model must be able to represent the interconnectivity
of each components being evaluated. There are no rigid rules thatare being followed in modeling electrical equipment. The only
aspect being adhered is that the model must be of generalized
format and is mathematically feasible to be operated in thecomputer.
2. Model Limitations The extent of modeling in this technicalreport will be limited only to the electrical components that arecommon to the distribution system such as conductors, transformers
and connected loads. In the modeling of conductors, impedance
gradient due to varying ambient temperature is not considered. And
also, the earth resistance is only fixed to 100 ohms/meter.Underground conductors are not included in the model since most
of the rural electric system is overhead lines. Since the model usesGPS WGS84 coordinates system, the length of the conductor is
calculated using simple assumption that the earth shape is a perfect
sphere and not considers it to have terrain imperfections and thevaried longitudinal and latitudinal radius. In the transformer
modeling, de-rating due to wear and ambient temperature is not
included. Old and new transformers are assumed to have the same
capacity to its nameplate ratings. In the load modeling, constantpower, constant current and constant impedance load type are being
considered. In addition, capacitor modeling is also included.
3. Development of Equipment Modeling In this part of the paper,the discussion will focus on the mathematical derivation ofequipment models for conductors, transformers and connected
loads. In the conductor model derivation, the main topic will be the
formulation of impedance matrix using Carsons formula for
transmission lines. The deduction of Carsons formula foroptimized computer application will be shown. Kronz matrix
deduction will also be shown to illustrate the inclusion of neutral
conductor in a line segment. For the derivation of transformermodel, the formula will be taken from the real world practices like
inclusion of core loss test data and short circuit test data.
Transformer model will be deduced into simple equation to make iteasy to convert to inverse hybrid two-port circuit. For the load
modeling, a dynamic load model will be shown. In which, the load
will vary with time and will be formulated to accommodate thethree major kind of load, namely constant power, constant current
and constant impedance load type.
4. Model Data Structure In software development, a robust andefficient data structure must be designed at the start to be able to
have a very clear path during the process. Somehow there will be
changes like addition and omission of data but that should beminimal. The focus of this topic will be the formulation of data
structure for conductor, transformer and load modeling. The
approach that will be used is object oriented programming (OOP).Where the characteristics of the equipment will be represented as
objects of a data structure. Each type of equipment will be
represented as a class and its data will be represented through the
use of class properties and class methods. The data structure of thefile storage system will be discussed in details as well.
5. Data Acquisition Methodology Distribution system data areacquired in all aspects of discipline in the electric cooperative. Line
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data acquisition is done in the field using Global Positioning
System handhelds. It follows certain set of rules during surveying.In addition to the rules the surveyor must be able to know GPS
Markup Language that is native surveying language of JAED.NS
software. Transformer data is obtained using the test results
recorded by the Technical Services Department. For the load data,the Billing Database server is the main source of the data. The topic
does not include how data is acquired in the database server but a
format must be followed to make the data extraction as smooth aspossible.
6. Building Blocks of Test Substation In this section the followingderivation and data structures is explained in full details of the thefollowing electrical components:
a. Sub-transmission Lineb. Power Transformerc.
Automatic Voltage Regulatord. Primary Distribution line
e. Distribution Transformerf. Capacitorg. Secondary Distribution Lineh. Service Dropi. Embedded Generatorj. Load Modelsk. Load Curve
GEOGRAPHIC POSITIONING SYSTEM
Introduction to GPS
The Global Positioning System or GPS is a constellation of navigation
satellites orbiting geo-synchronously and sends precise position and time to GPSreceivers/handheld back to Earth. It is originally designed for military and
intelligence applications at the height of the Cold War in the 1960s, with inspiration
coming from the launch of the Soviet spacecraft Sputnik in 1957, the global
positioning system (GPS) - is a network of satellites that orbit the earth at fixedpoints above the planet and beam down signals to anyone on earth with a GPS
receiver. These signals carry a time code and geographical data point that allows the
user to pinpoint their exact position, speed and time anywhere on the planet. Transitwas the first satellite system launched by the USA and tested by the US Navy in
1960. Just five satellites orbiting the earth allowed ships to fix their position on the
seas once every hour. In 1967 Transit was succeeded by the Timation satellite,which demonstrated that highly accurate atomic clocks could be operated in space.
GPS developed quickly for military purposes thereafter with a total of 11 "Block"
satellites being launched between 1978 and 1985.However, it wasnt until the USSR shot down a Korean passenger jet - flight
007 - in 1983 that the Reagan Administration in the US had the incentive to open up
GPS for civilian applications so that aircraft, shipping, and transport the world over
could fix their positions and avoid straying into restricted foreign territory.Upgrading the GPS was delayed by NASA space shuttle SS Challenger disaster in
1986 and it was not until 1989 that the first Block II satellites were launched. By
the summer of 1993, the US launched their 24th Navstar satellite into orbit, whichcompleted the modern GPS constellation of satellites - a network of 24 - familiar
now as the Global Positioning System, or GPS. 21 of the constellation of satellites
were active at any one time; the other 3 satellites were spares; in 1995 it wasdeclared fully operational. Today's GPS network has around 30 active satellites in
the GPS constellation.
Today, GPS is used for dozens of navigation applications, route finding for
drivers, map-making, earthquake research, climate studies, and an outdoor treasure-hunting game known as geo-caching.
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GPS Data Gathering Methodology
a. GPS Mark-up Language GML in short form. It is a nativesurveying language used by JAED.NS. It is a set of mnemonics that
can be easily memorized by the user during surveying. GML can be
inputted in the notes of each GPS saved waypoints and during data
extraction, JAED.NS will recognize it as distribution line data andautomatically create objects as described by the user. This technical
report will discuss thoroughly how GML will be used and
implemented during data gathering. The discussion will alsoinclude the projection techniques used to project the electrical
components to the screen for visual viewing.
b. Data Extraction and Storage JAED.NS file storage system hastwo formats. The first format is a text based comma separated values
data file and the second is spreadsheet based using M.S. Excel file
format. Both file formats can be used interchangeably. In this
section, the content of the file system will be tackled methodically indetail.
Geo-Referencing
Geo-referencing is a technique to project and super impose a GPS position
data into any satellite imagery such as Google Maps and Bing Maps . It usesratio and proportion technique to scale the satellite bitmap image into WGS84
satellite coordinate system. The techniques and mathematical formula derivation
used by geo-referencing will be shown.
LOAD FLOW ALGORITHM
1. Introduction to Load Flow Algorithm Efficient load flow is abasic necessity of a distribution system engineer. Over the years a
myriad of load flow algorithm and computer applications has been
developed. The algorithm can be classified as Gauss Seidel, Newton-Raphson and Fast Decoupled algorithms. These classical approaches
in load flow required high X/R ratio to ensure solution convergence.
A special algorithm is introduced based on Gauss Seidel method to
cater the requirements of a large weakly meshed radial distributionsystem that will converge even the evaluated system has relatively
low X/R ratio; it is called forward-backward sweep load fl ow.
JAED.NS simulation engine is powered by forward-backward sweepalgorithm first proposed by Carol Cheng and Dariush
Shirmohammadi in a paper published for IEEE on May 1995. It is an
iterative approach in solving a large distribution system load flowproblem. It is robust and converges relatively fast compared to older
form of load flow algorithm. However, the user must input realistic
data since divergence in the solution has high probability otherwise.The algorithm can offer solution to highly unbalanced 3 phase
system that is prevalent to rural electric cooperatives where more
than 50% of its line is single phase.
2. Forward-Backward Load Flow Unbalanced 3 Phase forward-backward load flow algorithm is accomplished in 3 segments. The
first segment is the calculation of load current in the stub sections. Itis done using the general formula IL= conjugate(SL/ VL); where :
IL - Load Current
SL- Real and Imaginary Demand
VL-Most Recent Receiving/Load End Terminal Voltage
Using Kirchoffs Current Law, all section current IL will be summed
up back towards the source node until it reaches the root node or
slack bus.In the second segment of the calculation, the sections
receiving end terminal voltage will be recalculated using Kirchoffs
Voltage Law hence, VL= VSZ IS;
where:
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VL-Recalculated Receiving/Load End Terminal Voltage
VS Sending End Terminal Voltage
Is- Sending endCurrent
Z- Impedance of the section
In the third segment of the calculation, the gradient of the
receiving end terminal voltage of each section will be calculated.The general formula will be as follows; VL = absolute (VL- VL)
where:
VL the gradient of the sending end terminal voltage
VL-Recalculated Receiving/Load End Terminal Voltage
VL-Recent Receiving/Load End Terminal VoltageAfter the voltage gradient is calculated, VL will take the value of VL
as its new value. The largest voltage gradient will be considered as
the error of the iteration hence, e = Maximum (VL)Where:
eIteration error.The 3 calculations segments will be repeated over and over again
until the iteration error eis less than the desired error set by the user.
The iteration will also be terminated when the maximum number ofiteration specified is exceeded even the iteration error e is greater
than the user desired error.
For further illustration, this section will also demonstrate asample numerical calculation of a basic non linear problem that can
be solved using forward-backward sweep algorithm.
3. Application of Equipment Model to Load Flow In this section,the primary focus is the detailed explanation on the relationship
between the mathematical model of the equipment/component to theforward-backward sweep algorithm. There are assumptions in theprocess of implementing the load low that will be revealed in this
chapter and will be clearly discussed.
4. Application of Load/Generator Model to Load Flow In thissection, the objective is to explain the basic concepts of the nature of
loads and embedded generators and how it will be interacting in the
distribution system model. Some mathematical formulas that havebeen introduced in the earlier sections but will be reiterated for the
purpose of clarifying the behavior of the load/generator in the load
flow process.
5. Radial Network Topology for Load Flow In this section, theradial network topology will be discussed along with the algorithm
for the radial network tracing algorithm. It will be shown in thissection some snippets of the codes being used to implement the
recursive tree tracer that can walk through the weakly meshed
network model in order to build the hierarchical layers for theforward-backward sweep algorithm. The process of sorting the
linked list of the sections for the radial network will be clearly
discussed.
6. Load Flow Methodology of JAED.NS The three phase forward-backward algorithm is the main load flow engine of JAED.NS which
has been said in the earlier sections. The load flow simulationprocess starts with the acquisition of stored data file. Included in the
data file are the components/equipments like substation, distribution
line, distribution transformer, capacitor, customer monthly energyconsumption, load curve and embedded generator. All these
components will be sorted according to type and voltage level. Each
type of component has its own modeling methodology as mentionedin the earlier sections. Next, the from-tobus data and phase data of
each section will be evaluated for continuity and integrity in order to
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prevent stray buses that will make the simulation non-convergent.
Next step would be the building of the radial topology networklinked list. This linked list is a sorted series of section data which
have hierarchical order with root/swing bus as the first in the list and
the stub nodes or loaded sections are in the lowest order of the list.
This will ensure the correct execution of forwad-backward sweepingalgorithm that was described in the earlier section entitled
Forward-Backward Load Flow. After the execution of forward-
backward sweeping algorithm, the results will be outputted in a textfile and in the graphical screen interface.
7. Load Flow OutputIn this section, the output file will be interpreted and explained. Thisoutput file contains the numerical results of the load flow simulation.
The following are the results of simulation:
a. Summaryb.
Per Hour / Per Section Output Table
APPLICATION OF JAED.NS OUTPUT
In this chapter, the discussion will focus on the real world application of
JAED.NS software. The following are the list of readily available applications:
1. Load Flow Analysis2. Substation Power Factor Improvement3. Backbone Line Voltage Improvement and Balancing4. Backbone Line Load Balancing5. Distribution Transformer Load Balancing6. Embedded AVR Settings7. Embedded Generator Output Optimization
The demonstration will be based on the load simulation result of a real
world substation named Carcar Substation. An elaborate details like charts and
graphs will be shown to highlight the potential usage of JAED.NS as a primarysimulation software for the rural electric cooperatives.
RECOMMENDATIONS/CONCLUSION