Abstract：To cut down the power consumption costs of power customers and reduce the average delay time of electric equipment in time of use pricing scheme, a novel prioritization scheme of time of use based on multi-objective evolutionary algorithm for demand side management in smart grid is proposed. To begin with the time of use scheme and its advantages. And then, the implement method of evaluating the electricity cost and the equipment delay based on multi-objective evolutionary algorithm, and objective function is given. Finally, modeling and simulation are carried out by taking the software of Matlab/Simulink as platform. Simulation results show that, power consumption costs and waiting time of electric equipment are decreased significantly by the proposed method. So the proposed method has some reference meaning for demand side management.
夏循进. 基于MOEA的智能电网需求侧管理分时电价优化方案[J]. 电气技术, 2016, 17(12): 69-72.
Xia Xunjin. Optimization Solution of Time of Use for Demand Side Management based on MOEA Technique in Smart Grid. Electrical Engineering, 2016, 17(12): 69-72.
[1] 周中, 姜龙. 智能电网用户端能源管理系统关键技术与应用[J]. 电气技术, 2012(1): 101-104. [2] 李昌. 基于分时电价的办公建筑中央空调最优起动时间计算[J]. 电气技术, 2015(8): 34-39. [3] 谭忠富, 谢品杰, 王绵斌, 等. 提高电能使用效率的可中断电价与峰谷分时电价的联合优化设计[J]. 电工技术学报, 2009, 24(5): 161-168. [4] 王婷. 电力市场营销学[M]. 北京: 中国电力出版社, 2015. [5] 胡福年, 汤玉东, 邹云. 峰谷分时电价策略在江苏电网的应用研究[J]. 华东电力, 2006, 34(9): 16-18. [6] Delgarma N, Sajadia B, Kowsarya F, et al. Multi- objective optimization of the building energy per- formance: A simulation-based approach by means of particle swarm optimization(PSO)[J]. Applied Energy, 2016, 170(3): 293-303. [7] Tabakhi S, Najafi A, Ranjbar R, et al. Gene selection for microarray data classification using a novel ant colony optimization[J]. Neurocomputing, 2015, 168(C): 1024-1036. [8] 李丽荣, 郑金华. 基于Pareto Front的多目标遗传算法[J]. 湘潭大学自然科学学报, 2004, 26(1): 39-41, 48. [9] Muralitharan K, Sakthivel R, Shi Y, et al. Multiobjec- tive optimization technique for demand side manage- ment with load balancing approach in smart grid[J]. Neurocomputing, 2015, (177): 110-119. [10] Moura P S, De Almeida A T. Multi-objective optimi- zation of a mixed renewable system with demand-side management[J]. Renewable & Sustainable Energy Reviews, 2010, 14(5): 1461-1468.
2016, Vol. 17 
