风-光电-储能混合配电网系统储能多目标优化配置方案

2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES) Pub Date : 2022-12-09 DOI:10.1109/SPIES55999.2022.10082293

Jingda Gu, Baotong Song, Ning Su, Xiaohui Bai, W. Li, Rui Zhao, Zixun Pan, Jiaben Dou, Yilan Ma, Jianfeng Chi, Zhiming Jiang, Xiaofeng Yang

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引用次数: 0

摘要

储能系统可以解决由于可再生能源的高渗透率而造成的配电网节点电压波动和功率损耗增加的问题。本文以节点电压波动和ESS综合多成本为复合优化目标，结合多个约束条件，建立了风能-太阳能-储能混合配电网储能配置优化模型。在优化模型的基础上，引入了改进的多目标粒子群优化器(IMOPSO)来解决这一问题。IMOPSO在考虑收敛速度和精度的同时，避免了粒子群陷入局部最优解。最后，通过对IEEE-33节点配电网系统的分析，验证了所提出的ESS配置优化模型和IMOPSO的合理性，能够有效降低配电网的节点电压波动和功率损耗，同时提高系统经济性。

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Multi-objective Optimal Configuration Scheme of Energy Storage in Wind-Photovoltaic-Energy Storage Hybrid Distribution Network System

Energy storage system (ESS) can solve the problems of nodal voltage fluctuation and increase power loss in distribution network caused by high penetration of renewable energy. This paper takes the nodal voltage fluctuation and comprehensive multi-cost of ESS as the composite optimization objective, and combines multiple constraints to establish an energy storage configuration optimization model of the wind-solar-energy storage hybrid distribution network. Based on the optimization model, an improved multi-objective particle swarm optimizer (IMOPSO) is introduced to solve the problem. IMOPSO avoids the particle swarm from falling into the local optimal solution while considering the convergence speed and accuracy. Finally, through analysis of the IEEE-33 node distribution network system, the rationality of the proposed ESS configuration optimization model and the IMOPSO are verified, which can effectively reduce the nodal voltage fluctuation and power loss of the distribution network, and improve the system economy at the same time.

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2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)

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