Active and Reactive Power Coordination Optimization under High Photovoltaic Penetration for Distribution Station Areas

As energy reform progresses, the number of distributed generation units, energy storage systems, and other elements within distribution station areas continues to increase, transforming them from passive systems into active systems. This paper proposes a coordination optimization strategy for energy storage and reactive power compensation devices in distribution station areas, utilizing the particle swarm optimization (PSO) algorithm. The constraints and safe operating boundaries of various elements within the distribution station area are analyzed. The problem of maximizing the renewable energy absorption capacity is converted into minimizing renewable energy overflow power. A coordination optimization model is established with the objectives of minimizing the total network loss and the total renewable energy overflow over the course of a day. Case studies confirm that this strategy reduces both network losses and renewable energy overflow, ensuring the safe and stable operation of the distribution station area.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991765
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Active and Reactive Power Coordination Optimization under High Photovoltaic Penetration for Distribution Station Areas

Jiayao Bao, Dongliang Xu, Zaijun Wu, Xinbao Ma
Power Systems and Renewable Energy
article

Active and Reactive Power Coordination Optimization under High Photovoltaic Penetration for Distribution Station Areas

Jiayao Bao, Dongliang Xu, Zaijun Wu, Xinbao Ma
article en

Abstract

As energy reform progresses, the number of distributed generation units, energy storage systems, and other elements within distribution station areas continues to increase, transforming them from passive systems into active systems. This paper proposes a coordination optimization strategy for energy storage and reactive power compensation devices in distribution station areas, utilizing the particle swarm optimization (PSO) algorithm. The constraints and safe operating boundaries of various elements within the distribution station area are analyzed. The problem of maximizing the renewable energy absorption capacity is converted into minimizing renewable energy overflow power. A coordination optimization model is established with the objectives of minimizing the total network loss and the total renewable energy overflow over the course of a day. Case studies confirm that this strategy reduces both network losses and renewable energy overflow, ensuring the safe and stable operation of the distribution station area.

Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 63%
Power Systems and Renewable Energy
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