Optimal Dispatch of Distribution Network with Integrated Photovoltaic Storage Power Station Considering Harmonic Control
Year: 2025
Type: article
Abstract: [Objective] The flexibility of the power control of grid-connected inverters in integrated photovoltaic storage power stations makes them a good resource for participating in distribution network harmonic control. [Methods] This study proposes a two-layer optimization model for a distribution network with an integrated photovoltaic storage power station considering harmonic control. The upper layer establishes the optimization model of the distribution network and integrated photovoltaic storage power station. The distribution network sets the harmonic compensation price to maximize revenue， thus guiding the integrated photovoltaic storage power station to optimize the multi-functional grid-connected inverter active grid-connected and harmonic control capacity. The lower layer establishes the optimization model of the distribution network and the demand user and the demand user according to the electricity price and the cost of electricity use of different harmonic control levels before developing a power purchase strategy to minimize the total electricity cost. Finally， an IEEE 14-node system was used as an example for analysis. [Results] The results show that the revenue of the integrated photovoltaic storage power station increased by 3 615.4 yuan after considering the harmonic control service， and the harmonic voltage distortion rate of each node was limited to less than 4%. [Conclusions] The results show that the proposed model can fully exploit the harmonic control potential of an integrated photovoltaic storage power station， reduce the harmonic voltage distortion rate of the distribution network， satisfy the differentiated power quality demand of the user， and improve the operational efficiency of each main body.
Author: ZHONG Hao, ZHANG Yonghao, ZOU Xianqiu, WANG Qiujie, LIU Haoyu, WANG Xinghuo
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6940792173
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