储能与火电机组联合调峰两层优化模型

Qing Dou
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引用次数: 0

摘要

在大规模风力发电太阳能并网的背景下,电力系统的调峰问题日益突出。本文在考虑风电和光伏发电充分吸收的前提下,利用储能辅助火电机组深度控制峰值,构建火电储能关联调节峰值两层优化模型,以负荷峰谷差最小为目标,优化储能充放电方案。下层以火电机组调峰成本和碳排放最小为目标,考虑不同机组调峰深度和成本的差异,优化火电机组联合调峰。仿真结果表明,储能系统的加入降低了火电机组调峰成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-layer optimization model of joint peak shaving of energy storage and thermal power units
Against the backdrop of large-scale wind power generation solar energy networking, the problem of peak regulation of power systems is becoming more prominent day by day. Under the premise of considering sufficient absorption of wind power generation and photovoltaic power, the text uses stored energy to assist the depth control peak of the thermal power generation unit, constructs a two-layer optimization model of the fire storage association regulation peak, and optimizes the storage energy charging and discharging plan with the goal of minimizing the valley difference between the load peaks. The lower layer aims to minimize the peak adjustment cost and carbon emission of thermal power generation unit, and optimizes the combined adjustment of thermal power generation unit by considering the difference in peak adjustment depth and cost of different units. The simulation revealed that the addition of an energy storage system reduces the peak adjustment cost of thermal power generation unit.
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