洪海涵, 吕志鹏, 胡晓. 可控储热负荷参与电网调峰的系统特性与经济性研究[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0227
引用本文: 洪海涵, 吕志鹏, 胡晓. 可控储热负荷参与电网调峰的系统特性与经济性研究[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0227
HONG Haihan, LÜ Zhipeng, HU Xiao. Research on System Characteristics and Economy of Controllable Heat Storage Load Participating in Power Grid Peak Shaving[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0227
Citation: HONG Haihan, LÜ Zhipeng, HU Xiao. Research on System Characteristics and Economy of Controllable Heat Storage Load Participating in Power Grid Peak Shaving[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0227

可控储热负荷参与电网调峰的系统特性与经济性研究

Research on System Characteristics and Economy of Controllable Heat Storage Load Participating in Power Grid Peak Shaving

  • 摘要: 为解决当前可再生能源装机量大但出力相对较小及电力系统调峰能力低下的问题,通过新兴的固态电制热储热技术,充分挖掘电力系统用户侧的潜力。以系统消纳的风电量最多及用户侧运行的经济性最优为目标,建立了含电力需求侧响应的用户侧配置固态电制热储热设备的系统模型。采用改进多目标粒子群算法对模型进行优化求解,针对电力系统的源侧、网侧、荷侧,对比不同运行方式下的风电消纳能力、负荷曲线峰谷差及经济成本。仿真结果表明,在电力需求侧响应的基础上用户侧配置固态电制热储热设备,可以大大提高系统的风电消纳能力及调峰水平,并具有一定的经济价值。

     

    Abstract: To address the problems of large installed capacity of renewable power yet with relatively low output and inadequate peak shaving capacity of the power system, this article elaborates and analyzes how to maximize the potential of the user side in the power system through the emerging solid-state electric heating and heat storage technology. A system model of the solid-state electric heating and heat storage equipment with power demand response on the user side was designed and established, aiming at the maximum amount of wind power consumed by the system and the optimal economy of the user side in operation. The article adopted the improved multi-objective particle swarm operation (MOPSO) algorithm for model optimization and model solution. A comparative analysis of wind power accommodation capacity, load curve peak-to-valley difference and economic cost under diverse conditions was conducted in the source side, grid side and load side of the power side system. The simulation results show that the wind power consumption capacity and peak shaving capability have been significantly improved with the installation of the solid-state electric heating and heat storage equipment on the user side on the basis of demand response. In addition, this method has certain economic value.

     

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