Voltage Control Strategies for Distribution Systems with High Penetration … · 2018. 10. 1. ·...
Transcript of Voltage Control Strategies for Distribution Systems with High Penetration … · 2018. 10. 1. ·...
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Voltage Control Strategies for Distribution Systems with High Penetration of Photovoltaics
Reinaldo Tonkoski, Ph.D.Associate Professor
Electrical Engineering and Computer Science Dept.South Dakota State University
Brookings, SD, [email protected]
8/22/2018
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Outline
Background Basic Concepts Classification of Inverter Control Strategies Case Studies Comparison of Inverter Control Strategies Current Trends Conclusions
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Rising Trend of Small-scale Photovoltaic Generation
Distributed PV Generation in US (2014-2016) Estimated small-scale PV Generation
Source: U.S. Energy Information Administration, Electric Power Monthly
Small-scale PV generation accounted for 37% of annual generation from solar in U.S.
Residential installations increasingDecreasing costTrend of clean energy source
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Inverter Control Strategies for Voltage Support
• Unidirectional flow of power
• Protection and control available for unidirectional power flow
• High PV penetration and low load
• Reverse power flow causes voltage rise
• PV power curtailed• Limits PV installation
capacity
Distance from feeder
Vol
tage
Lower Limit
Upper Limit
Legacy devicesLTCs, voltage regulators, capacitor banksFails under bidirectional power flow
Control for voltage regulation at both distribution and DG connection points required
Inverter based voltage control strategies needed to maintain power quality under high PV penetrations
Δ𝑉𝑉 ≈𝑃𝑃𝑃𝑃 + QX
𝑉𝑉
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The Beginning!
X 9 X 9 X 9 X 9
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C
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B
20 m
20 m
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2 km
20 m
20 m
20 m
Substation
250 m 250 m 250 m 250 m
1 km
1 km
A B
C
1 km
0 AWG ASC
336
kcm
il AS
C
20 m
3 MVA PF 0.90
3 MVA PF 0.90
2 MVA PF 0.95
2 MVA PF 0.95
2 MVA PF 0.95
Sub-Network A
0 AWG ASC
1/0 AWG, Aluminum, XLPE
4/0 AWG, Aluminum, XLPE
75 kVA14.4 kV/120 V/240 V
94 MVA120 kV/25 kV
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-75 -50 -25 0 25 50 75
Volta
ge [p
u]
PMPPT-Load[kW]
Transformer
H 1/2
H 3/4
H 5/6
H 7/8
H 9/10
H 11/12
APC
- R. Tonkoski, D. Turcotte and T. H. M. EL-Fouly, "Impact of High PV Penetration on Voltage Profiles in Residential Neighborhoods," in IEEE Transactions on Sustainable Energy, vol. 3, no. 3, 2012.- R. Tonkoski, L. A. C. Lopes and T. H. M. El-Fouly, "Coordinated Active Power Curtailment of Grid Connected PV Inverters for Overvoltage Prevention," in IEEE Transactions on Sustainable Energy, vol. 2, no. 2, 2011.
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Inverter Control Technologies for Voltage Control
First Generation Second Generation
Third Generation
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Case Studies Around the World
SMUD & NREL
• PRECISE• In-Line Power
Regulators
HECO & NREL• VROS Project• First utility to
activate volt-VAR system-wide
Dettighofen Grid• 821.3 kWp low-voltage grid• 4.5% voltage rise due to reverse power flow• APC and RPC reduced voltage rise by 3%• Peak shifting with battery storage• 0.017 USD/kWh vs 3.58 USD/kWh
Taiwan Power Company • 3750 kWp solar farm field testing• Variable power factor and APC• 6519 kWh to 269 kWh curtailment
reduction
NEDO• Power conditioning subsystem (PCS)• 80% PV penetration• 553 residential PV systems• Total of 2.1 MW• Battery use to minimize output power
loss
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Active Power Curtailment (APC) Based on Droop
Linear Droop* Quadratic Droop**
1.042 1.044 1.046 1.048 1.05 1.052 1.054 1.056 1.058
Voltage at the point of connection [pu]
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Pow
er b
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cur
taile
d [p
u]
ΔV
ΔP
m=ΔP/ΔV
1.042 1.044 1.046 1.048 1.05 1.052 1.054 1.056 1.058
Voltage at the point of connection [pu]
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y = 3906.2(x-1.042)2
𝑃𝑃𝑖𝑖𝑖𝑖𝑖𝑖 = 𝑃𝑃𝑀𝑀𝑀𝑀𝑀𝑀𝑀𝑀 − 𝑚𝑚 𝑉𝑉 − 𝑉𝑉𝑐𝑐𝑐𝑐𝑖𝑖 2𝑃𝑃𝑖𝑖𝑖𝑖𝑖𝑖 = 𝑃𝑃𝑀𝑀𝑀𝑀𝑀𝑀𝑀𝑀 − 𝑚𝑚(𝑉𝑉 − 𝑉𝑉𝑐𝑐𝑐𝑐𝑖𝑖)
𝑃𝑃𝑖𝑖𝑖𝑖𝑖𝑖: Power injected by PV inverter𝑃𝑃𝑀𝑀𝑀𝑀𝑀𝑀𝑀𝑀: Maximum power available from PV array𝑉𝑉𝑐𝑐𝑐𝑐𝑖𝑖 : Voltage above which controller comes into action𝑚𝑚: Slope factor or droop constant𝑉𝑉: Local Voltage at the point of connection
* R. Tonkoski, L. A. C. Lopes, and T. H. M. El-Fouly, “Coordinated active power curtailment of grid connected PV inverters for overvoltage prevention,” IEEE Trans. Sustain. Energy, vol. 2, no. 2, pp. 139–147, Apr. 2011. ** M. Maharjan, “Voltage regulation of low voltage distribution network”, MS thesis, Dept. Elect. Eng. Comp. Sci., South Dakota State University, South Dakota, USA, 2017
Curtailing the active power is one of the solution to prevent the overvoltage in Low Voltage (LV) network
Δ𝑉𝑉 ≈𝑃𝑃𝑃𝑃𝑉𝑉
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Approaches to Reactive Power Control (RPC)
S. Pukhrem, M. Basu, M. F. Conlon, and K. Sunderland, “Enhanced network voltage management techniques under the proliferation of rooftop solar PV installation in low-voltage distribution network,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 5, no. 2, pp. 681–694, Jun. 2017.
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Coordinated Active Reactive Power Support
10F. Olivier, P. Aristidou, D. Ernst, and T. V. Cutsem, “Active management of low-voltage networks for mitigating overvoltages due to photo-voltaic units,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 926–936, Mar. 2016.
normal operation
local reactive power support
neighborhood reactive power support
neighborhood active and reactive power support
QP
MPP
Q
PMPP
QP
Not at MPP
V < Vkick V ≥ Vkick
V < VkickQ = 0
tstate ≥ Δt
V < VkickPcurt = 0
tstate ≥ Δt
V ≥ VkickQi = QiMAX
V ≥ VkickQ = QMAX
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PV Power Computation Using Solar Irradiance Data
One-hour resolution irradiance data from [18] converted into minutes
PV power computed using irradiance𝑃𝑃 = 𝜂𝜂 × 𝐼𝐼 × 𝐴𝐴 𝜂𝜂 : efficiency (16.7%), 𝐴𝐴 : area
(50,2605 𝑚𝑚2 ) [19], 𝐼𝐼 : irradiance 𝑊𝑊𝑚𝑚2
11* Clean power research, “Solar anywhere,” 2015. [Online]. Available: http://www.solaranywhere.com** https://www.solarelectricsupply.com/solarworld-8-4kw-sunmodule-plus-sw-280-mono-fronius-solar-system
Irradiance for first day of January
Irradiance for whole year
Substation
Transformer75 kVA
14.4 kV / 240 V
H1
20 m
H3
H4
20 m
H5
H6
20 m
H7
20 m
H9
H10
20 m
H11
H12
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Comparison Year long voltage
profileOVP, LDAPC and
QDAPC maintain the voltage below limit
ARPM cannot fully eliminate overvoltage
Energy loss for a yearCurtailment energy
loss is lowest in ARPM because of the use of reactive power,
However this increases loss in the feeder and transformer
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R. Mahat, K. Duwadi, F. B. Dos Reis, R. Fourney, R. Tonkoski, and T. M. Hansen, “A Long-Term Techno-Economic Analysis of PV Inverter Controllers for Preventing Overvoltage in Low-Voltage Grids.” [under preparation]
No overvoltageprotection
Overvoltageprotection
Lineardroop APC
Quadraticdroop APC
Active reactivePower
management
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Centralized Control Achieve best coordination
between available controllable sources DG inverters, tap
settings, capacitors banks etc.
e.g. optimal dispatch of PV inverters
Need for solving non-convex, non-linear optimizationObjective is to reduce
curtailment, loss and maximize PV injection
Heavily dependent on communication network
S. Paudyal, C. A. Canizares and K. Bhattacharya, "Optimal Operation of Distribution Feeders in Smart Grids," in IEEE Transactions on Industrial Electronics, vol. 58, no. 10, pp. 4495-4503, Oct. 2011.
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Distributed Control
No central controller Implemented with
computations local to nodeAugmented through limited
information from nearby nodes
Cooperation among nodes possible For example – power
loss minimization An example*: Information collected from
few inverters operating as agents
Information shared on a common cyber layer
Feedback signal approach to find optimal reactive power requirement
* S. Bolognani, R. Carli, G. Cavraro and S. Zampieri, "Distributed Reactive Power Feedback Control for Voltage Regulation and Loss Minimization," in IEEE Transactions on Automatic Control, vol. 60, no. 4, pp. 966-981, April 2015.
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Comparison of Local and Centralized Control Method
Local active power control
Centralcontrol
Centralcontrol
Local active
reactivepower control
Controlling reactive as well as active power reduces curtailment significantly compared to active power control onlyBoth in local and central control
Central control benefits from the communicationsminimum curtailment possible
K. Duwadi, F. B. Dos Reis, R. Fourney, R. Tonkoski, and T. M. Hansen, “Optimal Inverter dispatch (OID) and time constrained OID in low voltage distribution network by leveraging linearized approximate power flow” [under preparation]
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Neural Network Based Online Droop Adjustment
A supplementary controller to set droop in APC method
Reinforcement learning based approachA reward signal is designed Restricts voltage crossing the
critical voltage limit with minimum curtailment possible
Objective function was designed to minimize curtailment in each houseLimit voltage with critical limit Inject maximum available
power
M. Maharjan, R. Tonkoski, et al., "Adaptive droop-based active power curtailment method for overvoltage prevention in low voltage distribution network," 2017 IEEE International Conference on Electro Information Technology (EIT), Lincoln, NE, 2017, pp. 1-6.
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Reduced Curtailment with Online Droop Adjustment
Reduced Peak Curtailment
Voltage within Critical Limit
Linear APC Adaptive APC
Energy Loss = 22.72 kWh
Energy Loss = 18.77 kWh
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Current Trends
Voltage issues with connection of large loads in a distribution system with high PV penetration
Distributed optimization*Benefits of reduce curtailment Avoiding the dependences of centralized approachedCoordination of controllers OLTC
Multiple Agents**Attending the privacy of costumersEquilibrium of the game bids
Tackling the challenges Privacy of customers Fairness of participants Markets in the distribution system
* E. Dall’Anese and A. Simonetto, “Optimal Power Flow Pursuit,” IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 942–952, Mar. 2018.** X. Wang et al., “Optimal voltage regulation for distribution networks with multi-microgrids,” Applied Energy, vol. 210, pp. 1027–1036, Jan. 2018.
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ConclusionsVoltage Droops are still the most popular method for
active and reactive power support for overvoltage prevention
Coordination of active and reactive power can lead to reduction on curtailment of PV
Communication infrastructure is required to optimize the performance of local active and reactive power support
Supplementary controllers can help reduce these requirements and get closer to optimal solution.
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Thank you and Acknowledgments Drs. Timothy M. Hansen and Robert Fourney Graduate students: André Luna, Fernando Bereta dos
Reis, Kapil Duwadi and Ujjwol Tamrakar Grants:South Dakota Board of RegentsNSF ECCS-1608722NSF Major Research Instrumentation MRI-1726964
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Thank You!