引用本文:刘向军,周行洁,刘迪,孙毅,谢祥颖,卢毓东.面向新能源消纳的热水器集群精细化均衡控制[J].电力自动化设备,2020,40(1):
LIU Xiangjun,ZHOU Xingjie,LIU Di,SUN Yi,XIE Xiangying,LU Yudong.Refined equilibrium control of electric water heater clusters for accommodation of renewable energy sources[J].Electric Power Automation Equipment,2020,40(1):
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面向新能源消纳的热水器集群精细化均衡控制
刘向军1, 周行洁1, 刘迪1, 孙毅1, 谢祥颖2, 卢毓东3
1.华北电力大学 电气与电子工程学院,北京 102206;2.国网电子商务有限公司,北京 100053;3.国网浙江省电力有限公司电力科学研究院,浙江 杭州 310014
摘要:
针对新能源发电并网对电网可能造成的冲击,提出面向新能源消纳的热水器集群精细化均衡控制策略。相比于现有普遍研究的、对单台热水器只能实现开和关2种控制状态的控制方法,所提控制策略通过温度设置值和多级功率联合优化,并利用遗传算法,不仅考虑了单台热水器的开、关状态,更精确至单台热水器运行功率级的选择。所提方法在保障电网侧消纳任务完成情况的同时,综合考虑用户侧热水器的温度,实现了两者的双赢。仿真实验结果证明了所提控制策略可实现精准负荷调控,同时使热水器响应更加均衡。
关键词:  新能源消纳  热水器集群  精细化控制  遗传算法  均衡响应
DOI:10.16081/j.epae.202001003
分类号:TM761;TM925.32
基金项目:国家电网公司科技项目(52110418001C)
Refined equilibrium control of electric water heater clusters for accommodation of renewable energy sources
LIU Xiangjun1, ZHOU Xingjie1, LIU Di1, SUN Yi1, XIE Xiangying2, LU Yudong3
1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.State Grid Electronic Commerce Co.,Ltd.,Beijing 100053, China;3.State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
Abstract:
Aiming at the possible impact of grid-integrated renewable energy power generation on the power grid, a refined equilibrium control strategy of EWH(Electric Water Heater) clusters for renewable energy source consumption is proposed. Compared with the currently widely studied control method, which can only realize two control states of open and close for a single EWH, the proposed control strategy is optimized by temperature setting values and multi-stage power joint optimization and is solved by genetic algorithm, which not only considers the open and close state of a single EWH, but also is more accurate to the power level selection of a single EWH. The proposed method not only ensures the completion of the power grid side consumption task, but also comprehensively considers the temperature of the user side EWHs to realize a win-win situation. Simulative results show that the proposed control strategy can achieve accurate load control and make the EWHs’ response more balanced.
Key words:  accommodation of renewable energy sources  electric water heater clusters  refined control  genetic algorithms  balanced response

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