考虑边际效益最优的含分布式光伏配电网储能双层优化配置
作者信息
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华南理工大学电力学院,广州 510640
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彭琦(2000),女,硕士研究生,研究方向为配电网规划与运行,pqff14@163.com;
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欧阳森(1974),男,通信作者,副研究员,博士,研究方向为电力系统规划与运行,ouyangs@scut.edu.cn;
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谢运祥(1965),男,教授,博士,研究方向为电力电子与电气传动,yxxie@scut.edu.cn。
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收起
Two-Layer Optimal Configuration of Distribution Network Energy Storage with Distributed Photovoltaic Considering Optimal Marginal Benefit
Author information
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School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
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文章历史
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| 收稿日期 |
出版日期 |
| 2024-05-06 |
2025-11-20 |
PDF (1826K)
摘要
光伏配置储能是当前的发展趋势,但储能投资价值直接影响到储能业主的利益以及实际上的市场行为,因此有必要考虑储能收益与成本间的相互影响,在传统的网侧多目标最优或储能经济效益最大化的基础上开展深一步的研究。为此,提出了一种采用多目标粒子群算法的考虑边际效益最优的含分布式光伏配电网储能双层优化配置模型。首先,提出了储能边际效益的概念,建立了储能边际效益模型,从储能业主的角度衡量储能效益。然后,建立了双层优化模型,外层优化以储能接入后带来的边际效益最大和电压偏差最小为目标,并将网损率作为约束条件,内层优化则以储能日收益最大为目标对储能出力进行优化计算。最后,采用IEEE 33节点系统进行储能优化计算,结果表明在传统全寿命周期净收益储能容量优化的基础上,基于储能业主的边际效益最优再采用考虑边际效益与电压偏差的目标进行储能容量二次分配可使储能接入后净收益、线损率和电压偏差均有改善。
Abstract
Photovoltaic energy storage configuration is the current development trend, but the value of energy storage investment directly affects the interests of energy storage owners and the actual market behavior, it is necessary to consider the interaction between energy storage benefits and costs, and carry out further research on the basis of traditional multi-objective optimization of the grid side or the maximum economic benefit of energy storage. Therefore, a two-layer optimal configuration model of distribution network energy storage with distributed photovoltaic, which adopts multi-objective particle swarm optimization and considers the optimal marginal benefit. Firstly, the concept of marginal benefit of energy storage is put forward, the marginal benefit model of energy storage is established, and the benefit of energy storage is measured from the perspective of energy storage owners. Then, a two-layer optimization model is established. The outer layer optimization takes the maximum marginal benefit and the minimum voltage deviation after energy storage access as the target, and takes the network loss rate as the constraint condition. The inner layer optimization takes the maximum daily energy storage income as the target to optimize the energy storage output. Finally, the IEEE 33-node system is used for energy storage optimization calculation. The results show that on the basis of traditional energy storage capacity optimization with net income over the whole life cycle, based on the optimal marginal benefit of the energy storage owner, the secondary allocation of energy storage capacity with the goal of considering marginal benefit and voltage deviation can improve the net income, line loss rate and voltage deviation after energy storage access.
Graphical abstract
关键词
多目标粒子群
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分布式光伏
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储能配置
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双层优化
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边际效益
Key words
multi-target particle swarm
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distributed photovoltaic
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energy storage configuration
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two-layer optimization
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marginal benefit
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彭琦,欧阳森,谢运祥.
考虑边际效益最优的含分布式光伏配电网储能双层优化配置[J].
南方电网技术, 2025, 19(11): 122-131 DOI:10.13648/j.cnki.issn1674-0629.2025.11.011
基金资助
国家自然科学基金资助项目(52177085)