考虑需求响应和储能的EGH-IES最优调度

Weibin Yin, Jialin Yu, Shuhe Yan, Chengcheng Shao
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引用次数: 1

摘要

综合能源系统(IES)是未来能源发展的重要方向。实现综合能源系统的优化调度,有利于提高综合能源系统的经济效益和环境效益。针对风电等可再生能源消纳不足的问题,提出了一种热电联产与风力发电并网的优化调度模型。包括了源侧风电的不确定性建模、电网侧区域电力多能流建模、负荷侧综合需求响应、蓄电侧电加热等协调约束。因此,所提出的优化调度模型将对各机组的出力和负荷曲线进行优化,以增加风电并网电量,降低系统减载水平。此外,该模型旨在将系统的运行成本最小化,整合“源-网络-负载-存储”约束,并调用Gurobi来解决。最后,通过具体算例分析结果证明,该模型能有效促进风电消纳,降低系统运行成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Dispatch for EGH-IES Considering Demand Response and Energy Storage
The integrated energy system (IES) is an important development direction of future energy. Realizing the optimal dispatch of the integrated energy system is beneficial to improve its economic and environmental benefits. Aiming at the problem of insufficient consumption of renewable energy such as wind power, this paper proposes an optimization dispatch model of combining CHP unit and wind power generation. Coordinated constraints such as the uncertainty modeling of wind power in source side, the modeling of multi-energy flow of regional electricity in grid side, the comprehensive demand response on the load side, and the electrical heating of the storage side are included. Therefore, the optimization dispatch model proposed will optimize the output and load curve of each unit to increase the grid-connected wind power consumption and reduce the system load shedding level. In addition, this model aims to minimize the operating cost of the system, integrating “source-network-load-storage’ constraints, and calling Gurobi to solve it. Finally, the analysis results of specific calculation examples prove that this model can effectively promote wind power consumption and reduce system operation costs.
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