考虑社会效益的电力系统源网负荷侧电化学储能优化配置

Miao Yu, Zheng Qi, Guan Lan
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引用次数: 0

摘要

为提高三面电化学储能配置的综合利用率和电网韧性,提出了考虑宏观社会效益和三面协同规划的三面电化学储能优化模型。首先,根据常规机组和储能有助于吸收新能源输出波动的原理,确定EES运行模式。其次,考虑EES的社会效益,建立综合经济模型,包括发电侧的节能减排,电网侧的电网线损和停电损失的降低,用户侧的设备损耗和备用配置的延迟。模型的总体目标是实现宏观社会效益最大化。最后,将基于精英策略的非支配排序遗传算法(NSGA-II)应用于多目标优化模型,并基于改进的IEEE 30节点网络进行算例分析,为电力系统中EES的分配提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Allocation of Electrochemical Energy Storage of Source-Grid-Load Sides in Power System Considering Social Benefit
To improve the comprehensive utilization of three-side electrochemical energy storage (EES) allocation and the toughness of power grid, an EES optimization model considering macro social benefits and three-side collaborative planning is put forward. Firstly, according to the principle that conventional units and energy storage help absorb new energy output fluctuation, the EES operation mode is determined. Secondly, a comprehensive economic model is established considering the social benefit of EES, covering energy saving and emission reduction on the power generation side, reduction of power grid line loss and power outage loss on the grid side, and delay of equipment loss and backup configuration on the user side. The overall goal of model is to maximize the macro social benefit. Finally, the Nondominated Sorting Genetic Algorithm with Elitist Strategy (NSGA-II) is applied for the multi-objective majorization model, and an example is analyzed based on the improved IEEE 30-node network, providing a reference for the allocation of EES in electric system.
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