Capacity optimization strategy for energy storage system to ensure power supply

IF 2.4 4区工程技术 Q3 ENERGY & FUELS

International Journal of Low-carbon Technologies Pub Date : 2023-04-25 DOI:10.1093/ijlct/ctad039

H. Fu, Ming Shi, Miaomiao Feng

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引用次数: 1

Abstract

Photovoltaic (PV) and wind power generation are very promising renewable energy sources, reasonable capacity allocation of PV-wind complementary energy storage (ES) power generation system can improve the economy and reliability of system operation. In this paper, the goal is to ensure the power supply of the system and reduce the operation cost. The PV, wind and ES system models are analyzed. The differential evolutionary (DE) algorithm is adopted to optimize the particle swarm optimization (PSO) algorithm, and the parameters of the PSO algorithm are changed through the DE algorithm to obtain better performance. We use MATLAB to verify that when the system is composed of 100kW PV and 100kW wind power, the battery capacity obtained by PSO algorithm is 400kWh, while the algorithm proposed in this paper only requires 330kWh. although the loss of load probability of the system is improved by about 0.12%, the cost is saved by 17.5%. To improve the system operation reliability, we recommend increasing PV, wind and ES capacity at the same time rather than increasing ES capacity separately.

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确保电力供应的储能系统容量优化策略

光伏和风力发电是非常有前景的可再生能源，合理配置光伏-风力互补储能发电系统的容量可以提高系统运行的经济性和可靠性。本文的目标是保证系统的供电，降低运行成本。分析了光伏、风能和ES系统的模型。采用微分进化算法对粒子群优化算法进行优化，并通过微分进化算法改变粒子群算法的参数以获得更好的性能。我们使用MATLAB验证了当系统由100kW光伏和100kW风电组成时，PSO算法获得的电池容量为400kWh，而本文提出的算法只需要330kWh。虽然系统的负荷损失概率提高了约0.12%，但成本节省了17.5%。为了提高系统的运行可靠性，我们建议同时增加光伏、风能和ES容量，而不是分别增加ES容量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Low-carbon Technologies Engineering-Architecture

CiteScore

4.30

自引率

4.30%

发文量

106

审稿时长

27 weeks

期刊介绍： The International Journal of Low-Carbon Technologies is a quarterly publication concerned with the challenge of climate change and its effects on the built environment and sustainability. The Journal publishes original, quality research papers on issues of climate change, sustainable development and the built environment related to architecture, building services engineering, civil engineering, building engineering, urban design and other disciplines. It features in-depth articles, technical notes, review papers, book reviews and special issues devoted to international conferences. The journal encourages submissions related to interdisciplinary research in the built environment. The journal is available in paper and electronic formats. All articles are peer-reviewed by leading experts in the field.