Evaluation of Distributed Photovoltaic Economic Access Capacity in Distribution Networks Considering Proper Photovoltaic Power Curtailment

Wenbo Hao, Weisong Xiao (), Qingyu Yan, Qingquan Jia, Benran Hu and Pan Li
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Wenbo Hao: State Grid Heilongjiang Electric Power Research Institute, Harbin 150030, China
Weisong Xiao: Key Laboratory of Power Electronics for Energy Conservation and Drive Control of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Qingyu Yan: State Grid Heilongjiang Electric Power Company Limited, Harbin 150000, China
Qingquan Jia: Key Laboratory of Power Electronics for Energy Conservation and Drive Control of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Benran Hu: State Grid Heilongjiang Electric Power Company Limited, Harbin 150000, China
Pan Li: Key Laboratory of Power Electronics for Energy Conservation and Drive Control of Hebei Province, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2024, vol. 17, issue 17, 1-23

Abstract: The high proportion of distributed photovoltaic (DPV) access has changed the traditional distribution network structure and operation mode, posing a huge threat to the stable operation and economy of the distribution network. Aiming at a reasonable access capacity of DPV in the distribution network, this paper proposes an economic access capacity evaluation method for DPV in the distribution network considering proper PV power curtailment. Firstly, a method for generating typical joint light intensity and load power operation scenarios based on an improved K-means clustering algorithm is proposed, which provides comprehensive scenario support for the evaluation. Secondly, based on active and reactive power regulation, this paper proposes a DPV access capacity enhancement method to improve the DPV access capacity. Thirdly, considering proper PV power curtailment, an evaluation model of DPV economic access capacity in the distribution network is established to solve the maximum DPV economic access capacity in the distribution network. And aiming at the nonlinear problem in the model, the second-order cone relaxation method is employed to transform the model into the second-order cone programming model, so as to solve the objective function conveniently and efficiently. Finally, based on the improved IEEE 33-node distribution network analysis, the results show that the proposed method can be more comprehensive and effective in evaluating the DPV economic access capacity in the distribution network, and proper PV power curtailment can significantly increase the DPV economic access capacity in the distribution network.

Keywords: distributed photovoltaic; economic access capacity; power curtailment; improved K-means clustering algorithm; opportunity constraints; second-order cone relaxation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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