基于荷储协同优化的配电系统光伏并网容量配置

饶志 ,  李丰能 ,  隗知初 ,  李爽 ,  甘迪 ,  杨再敏

科学技术与工程 ›› 2025, Vol. 25 ›› Issue (22) :9371-9380

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科学技术与工程 ›› 2025, Vol. 25 ›› Issue (22) :9371-9380 DOI: 10.12404/j.issn.1671-1815.2404815
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基于荷储协同优化的配电系统光伏并网容量配置

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Photovoltaic Grid Connected Capacity Configuration in Distribution Systems Based on Load Storage Collaborative Optimization

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摘要

针对配电网中分布式光伏并网容量配置的问题,对基于荷储协同优化的配电系统光伏并网容量配置进行研究。首先建立含储能系统、负荷侧可平移负荷、可中断负荷的荷储协同调节模型,在此基础上考虑荷储调节能力的约束,以配电网分布式光伏的配置容量最大、配电网投资运营净收益最大为目标函数,建立考虑荷储协同的配电网分布式光伏并网容量优化模型。算例仿真结果表明,通过分布式光伏配储、可平移负荷及可中断负荷的协同调节,可以显著提高分布式光伏的并网容量,同时提升配电网的运营收益。

Abstract

The issue of distributed PV(photovoltaic) integration capacity allocation in distribution networks was addressed, which focuses on the photovoltaic integration capacity configuration based on load-storage coordination optimization. A coordinated regulation model for load-storage systems, incorporating energy storage, dispatchable load, and interruptible load, was first established. Based on this model, the constraints of load-storage regulation capabilities were considered. The optimization model for the configuration of distributed PV integration in the distribution network was developed with the objective of maximizing the capacity of distributed PV and the net investment and operational profit of the distribution network. Simulation results show that through the coordinated regulation of distributed PV with energy storage, dispatchable loads, and interruptible loads, significant improvements in the integration of distributed PV into the grid can be achieved.

关键词

荷储协同 / 可平移负荷 / 可中断负荷 / 分布式光伏 / 容量优化配置

Key words

load-storage coordination / transferable load / interruptible load / distributed photovoltaic / capacity optimization configuration

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饶志, 李丰能, 隗知初, 李爽, 甘迪, 杨再敏. 基于荷储协同优化的配电系统光伏并网容量配置[J]. 科学技术与工程, 2025, 25(22): 9371-9380 DOI:10.12404/j.issn.1671-1815.2404815
RAO Zhi, LI Feng-neng, WEI Zhi-chu, LI Shuang, GAN Di, YANG Zai-min. Photovoltaic Grid Connected Capacity Configuration in Distribution Systems Based on Load Storage Collaborative Optimization[J]. Science Technology and Engineering, 2025, 25(22): 9371-9380 DOI:10.12404/j.issn.1671-1815.2404815

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国家自然科学基金(71701087)

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