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Content Provider | IET Digital Library |
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Author | Ibrahim, Sarmad Cramer, Aaron Liu, Xiao Liao, Yuan |
Abstract | Distributed generation has many potential benefits including use of renewable resources, increased customer participation, and decreased losses. However, as the penetration of distributed renewable energy sources increases, the technical challenges of integrating these resources into the power system increase as well. One such challenge is the rapid variation of voltages along distribution feeders in response to photovoltaic (PV) output fluctuations, and the reactive power capability of PV inverters can be used to address this challenge. A method of achieving optimal expected performance with respect to a figure of merit of interest to the distribution system operator while maintaining appropriate system voltage magnitudes and considering the uncertainty of PV power injections is proposed. The method utilises reactive power injection both to improve system performance and to compensate for variations in active power injection. It requires infrequent communication between the distribution system operator and the PV inverters and bases its decisions on short-term forecasts, formulating voltage magnitude requirements as chance constraints. The proposed method is validated using the IEEE 123-node radial distribution test feeder and shown to improve the distribution system performance (with respect to existing methods) and maintain suitable voltages. |
Starting Page | 1089 |
Ending Page | 1098 |
Page Count | 10 |
ISSN | 17518687 |
Volume Number | 12 |
e-ISSN | 17518695 |
Issue Number | Issue 5, Mar (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/12/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0484 |
Journal | IET Generation, Transmission & Distribution |
Publisher Date | 2017-10-11 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Chance-constrained Distribution System Control of Electric Power System Distributed Generation Distributed Power Generation Distributed Renewable Energy Source Distribution Network IEEE 123-node Radial Distribution Test Feeder Invertors Load Forecasting Optimisation Optimisation Technique Photovoltaic Output Fluctuation Photovoltaic Power System Power And Energy Control Power Distribution Control Power System Power System Control Power System Planning And Layout PV Inverter Reactive Power Control PV Output Fluctuation PV Power Injection Uncertainty Reactive Power Control Reactive Power Injection Short-term Forecasting Solar Power Stations |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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