文章摘要
赫卫国,夏俊荣,刘志明,袁晓玲.考虑用户缴费满意度与用电舒适度的用电优化策略[J].电力需求侧管理,2020,22(1):69-74
考虑用户缴费满意度与用电舒适度的用电优化策略
Power optimal strategy considering user⁃charging satisfaction and user comfort
投稿时间:2019-07-31  修订日期:2019-09-06
DOI:DOI:10. 3969 / j. issn. 1009-1831. 2020. 01. 014
中文关键词: 虚拟电厂  用户舒适度  负荷关联度  多目标优化  遗传算法
英文关键词: virtual power plant  customer satisfaction  load correlation  multi⁃objective optimization  genetic algorithm
基金项目:国网公司科技项目“能源互联网环境下的多源互联配电网及多样化用电方式的需求策略系统研究”
作者单位
赫卫国 中国电力科学研究院,南京 210003 
夏俊荣 中国电力科学研究院,南京 210003 
刘志明 河海大学 能源与电气学院,南京 211100 
袁晓玲 河海大学 能源与电气学院,南京 211100 
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中文摘要:
      随着智能家电的广泛应用以及负荷监测技术的发展,家庭可控负荷的优化调度已经成为虚拟电厂技术的重要研究内容。考虑家庭用户用电经济性和舒适度,提出一种综合考虑家庭用户电力负荷关联度和用电舒适度与缴纳电费满意度的多目标用电模型。根据用户的负荷特性,建立刚性负荷和柔性负荷的数学模型及其约束条件。引入负荷使用关联矩阵调整负荷运行时段参数,建立考虑用户用电舒适度与电费支出满意度的多目标用电模型,采用遗传算法对模型进行求解。算例分析结果表明所建立的优化策略能有效满足用户用电舒适度,实现用电经济性,为虚拟电厂中可控负荷的优化调度提供帮助。
英文摘要:
      With the wide application of intelligent home appliances and the development of load monitoring technology, the optimal scheduling of household controllable load has become an important research content of virtual power plant. Considering the economy and comfort of household electricity consumption, a multiobjective electricity consumption model is proposed, which comprehensively considers the correlation of household electricity load,comfort of electricity consumption and satisfaction with the payment of electricity. According to the load characteristics, the mathematical models of rigid load and flexible load and their constraint conditions are established. The load usage correlation matrix is introduced to adjust the parameters of load running time, and a multiobjective power consumption model is established, which considers the user’s comfort level and the satisfaction degree of electricity expense, and the genetic algorithm is used to solve the model. The results show that the optimization strategy can effectively meet the customer’s electricity comfort and reduce the electricity economy.
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