Solar Advances

7/28/2019 Solar Advances

1/27

ABB PP&PS FES ItaliaJuly 14, 2013 | Slide 1

Advanced solutions for solar plantsSergio Asenjo, Head of Solar Center of Competence, June 10th 2010


2/27

ABB Solar COC SpainJuly 14, 2013 | Slide 2

Photovoltaic plant automation Architecture

The system will manage, among traditional automationfunctions/features:

Solar tracking system, when available, for productionmaximization

Performance calculation of the different stages ABB patented Switching System for optimizing inverter efficiency

Troubleshooting management of strings

Integration of plant security and surveillance system

Production automatic reporting system


3/27


Solar standard solutionTechnology highlights

High precision shadowing control algorithm for solar tracking

Extensible and scalable solution for any plant size

Switching system for optimizing inverter efficiency

Performance/efficiency oriented supervision system


4/27


5/27



High precision shadowing control algorithm for solar tracking

ABB algorithm calculates the optimal position modelingpanels and tracker structure geometry


6/27


Photovoltaic plant automation Architecture

LAN 2

LocalAutomation

Solar Tracker

Inverters

MV an LVSwicthgears

DCS

Transformers

OPERATORWORKPLACE

Remote Office

Internet

Remote Access

LAN 1

eMail


7/27


Photovoltaic plant automationFunction allocation

At the DCS level is controlled

Solar plant power electronics device controls

Optimization - switching

Neural networks - intelligent forecast and approximation

Alarms and events handling At local automation is performed

Trackers

Accurate solar tracking algorithm

One and two axis movement control implementationPower connection box

Power connection box management

Current per line current control to detect strings failures


8/27


RS20-0800 RS20-0800

RS20-0400 Spider 5Tx

9PLC5

Fibra pticaMultimodo

CableCat5+

Cableinterior armario

9PLC4

9PLC3

9PLC2

9PLC1

9PLC4

8PLC3

8PLC2

8PLC1

7PLC4

7PLC3

7PLC2 7PLC1

6PLC5

6PLC4

6PLC3

6PLC2

6PLC1

5PLC4

5PLC3

4PLC4

4PLC3

5PLC2

5PLC1

4PLC2

4PLC1

3PLC4

3PLC3

3PLC2

3PLC1

2PLC5

2PLC4

2PLC3

1PLC4

2PLC2

2PLC1

1PLC3

1PLC2 1PLC1

Master 2 Master 1

SAION-LINE

ADSL

Supervision & control systems

Photovoltaic plant automationLocal automation architecture


9/27


Photovoltaic plant automationOperator mimics


10/27


Photovoltaic plant automationOperator mimics


11/27



Switching System for optimizing inverter efficiency

Input power distribution for optimizing inverter efficiency

Switching principles:

Inverter low performance at low loads

Inverter high performance at medium-high loadsOne inverter working at medium load, better than twoinverters working at low load

Load balancing among inverters


12/27




Low performance High performance


13/27


Photovoltaic plant automation Advanced optimization

DCS advanced control functions

Operation of the switch over cabinet

Optimization based theoretical calculations

Neural networks analysis


14/27


15/27



Switching system for optimizing inverter efficiency

Neuronal Network is an adaptive approximation method toachieve a more accurate calculation of output power incase of switching

Working Principle:

Two inverters: PI1=I1*V1 ; PI2=I2*V2

Switching all strings to Inverter 1

One inverter; PI=PI1+PI2 (Ideal)

One inverter; PI=PI1+PI2 (real)


16/27




The difference is in the PVturbine equivalent I-V curve(affected by paneldegradation, dirtiness, etc..)Neuronal network learns fromreal values to getprogressively a better PI

1n v I P

2n v I P

3nv I P

1nv I P

3nv I P

1nv I P

2nv I P

3nv I

P

1nv I P

3nv I P


17/27



Performance/efficiency oriented supervision system

Real time plant performance ratio calculation based on:

Irradiation

Panels strings

InvertersTransformers


18/27


19/27


Stages for performanceCalculations

ModulesEfficiency

Tracking Efficiency Cablingefficiency

Inverters andSwicthingEfficiency

Trasnformersefficiency

Irradiation

Temperature

Strings Inverters Inverters output

ModulesCharacteristics Tracking- Perfect- Optimal

distribution

Inverter characteristics

Swicthing scheme

Transformerscharacteristics

Real Position

String Tracker Inverters Transformer

Trafo

Counter

DC cable Designcharactericits

DC field A

V

A

V

A

V

A

V


20/27


Real performanceDevices for measuring

Measurements devices:

Weather station

Pyranometers

Reference cells

Inclinometers

Strings measurements

Inverters measurement

Input DC

Output ac

Transformers

Electrical metering


21/27


Theoretical performanceCalculation methods

Equipment characteristics

Modules behavior

Tracking models

Perfect

Optimal

Cabling design

Switching, inverter curves

Transformers performance curves

Control system strategy and features

PLCs, SCADA, Databases


22/27


23/27


24/27


Dawn

Cloudiness

Dawn - nightfallr

Red color area production increase

ABB system optimization Automatic Switching system in dawn, nightfall and clouds


25/27


Solar standard solutionTechnology improvements

0 Kwh10 Kwh20 Kwh30 Kwh40 Kwh50 Kwh60 Kwh70 Kwh80 Kwh90 Kwh

100 Kwh

PV Plant 1

PV Plant 3

PV Plant 2

Performance/efficiency increased by 0,8% to 2,5%

Production increased during the whole day, startingearlier and shutting off later.


26/27


27/27

ABB Solar COC SpainJuly 14 2013 | Slide 27

Solar Advances

Documents

Transcript of Solar Advances