Over-voltage mitigation control strategies for distribution system with high PV penetration

Hong-Tzer Yang, Yu Tang Chen, Jian Tang Liao, Chiao Tung Yang

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

This paper proposes a voltage-control strategy for the distribution system with high photovoltaic (PV) penetration to reduce the voltage rise and comply with the voltage regulation limits. The control strategy can lower feed-in active-power curtailment of the PV systems simultaneously to solve the over-voltage problem. The proposed voltage-control strategy is realized by managing the transformer on-load tap changer (OLTC), the energy storage system (ESS), and real and reactive power control of the PV inverters. Furthermore, to optimize capacities of the ESS and the PV inverters, a two-level optimization procedure based on particle swam optimization (PSO) and dynamic programming (DP) is proposed. To verify the feasibility of the proposed strategy, real data of PV power generation and load profile are used to analyze the effectiveness of the proposed method. In addition, comparisons are made for the proposed method and the reference method. The simulated numerical results reveal that the proposed strategy can provide more effective voltage-control and increase economic benefits, as compared with the reference method.

原文English
主出版物標題2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509001903
DOIs
出版狀態Published - 2015 十一月 10
事件18th International Conference on Intelligent System Application to Power Systems, ISAP 2015 - Porto, Portugal
持續時間: 2015 九月 112015 九月 17

出版系列

名字2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015

Other

Other18th International Conference on Intelligent System Application to Power Systems, ISAP 2015
國家Portugal
城市Porto
期間15-09-1115-09-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Computer Science Applications

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