基于MOHSA的智慧社区能量管理系统优化调度研究
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摘要
家庭负荷是电网负荷的重要组成部分。在智能电网环境下,家庭负荷的灵活调度能够有效缓解电力供应紧张问题,有利于需求响应在用户侧的实施。本文提出了一种基于多目标和声搜索算法的社区能量管理系统优化调度方法,以减少用户的用电成本和平抑配电网侧负荷波动为目标,建立了计及分布式电源、储能系统和可调度负荷的智慧社区能量管理系统模型。根据Pareto理论,通过改进的多目标和声搜索算法求解,并与其他算法进行对比。仿真结果表明,所建模型和调度方案能够有效减少用户用电成本和平抑配电网侧负荷波动,改进的算法具有更强的寻优性能。
The home load is an important part of the grid load. Under the smart grid environment, the flexible scheduling of domestic loads can effectively alleviate the shortage of power supply and facilitate the implementation of the demand response on the user side. This paper proposed a collaborative scheduling method of smart community based on multi-objective harmony search algorithm. For reducing the user's electricity cost and load fluctuations on the distribution network side, this paper establishes a smart community energy management system model. The distributed power, energy storage system and schedulable load are considered in the model. Then, the model is solved by the improved multi-objective harmony search algorithm based on Pareto theory, and the method is compared with other algorithms. The simulation results have showed that the model and scheduling scheme can effectively reduce the user's electricity cost and load fluctuations, and the improved algorithm has stronger optimization performance.
The home load is an important part of the grid load. Under the smart grid environment, the flexible scheduling of domestic loads can effectively alleviate the shortage of power supply and facilitate the implementation of the demand response on the user side. This paper proposed a collaborative scheduling method of smart community based on multi-objective harmony search algorithm. For reducing the user's electricity cost and load fluctuations on the distribution network side, this paper establishes a smart community energy management system model. The distributed power, energy storage system and schedulable load are considered in the model. Then, the model is solved by the improved multi-objective harmony search algorithm based on Pareto theory, and the method is compared with other algorithms. The simulation results have showed that the model and scheduling scheme can effectively reduce the user's electricity cost and load fluctuations, and the improved algorithm has stronger optimization performance.
引文
[1] 朱永强,郝嘉诚,赵娜,等(Zhu Yongqiang, Hao Jiacheng, Zhao Na, et al.).能源互联网中的储能需求、储能的功能和作用方式(Demands, functions and action manners of energy storage in Energy Internet)[J].电工电能新技术(Advanced Technology of Electrical Engineering and Energy),2018, 37(2):68-75.
[2] 贾艳芳,易灵芝,李胜兵(Jia Yanfang, Yi Lingzhi, Li Shengbing).基于多目标分子动理论的楼宇负荷用电调度优化(Optimal scheduling of building load electricity consumption based on multi-objective molecular motion theory)[J].电网技术(Power System Technology), 2018, 42(5): 1549-1555.
[3] Zhang D, Shah N, Papageorgiou L G. Efficient energy consumption and operation management in a smart building with microgrid[J]. Energy Conversion & Management, 2013, 74: 209-222.
[4] 王建华,张国钢,耿英三,等(Wang Jianhua, Zhang Guogang, Geng Yingsan, et al.). 智能电器最新技术研究及应用发展前景(The latest technology research and application prospects of the intelligent electrical apparatus)[J].电工技术学报(Transactions of China Electrotechnical Society),2015,30(9):1-11.
[5] 董博,李永东,郑治雪(Dong Bo, Li Yongdong, Zheng Zhixue). 分布式新能源发电中储能系统能量管理(Energy management of hybrid storage in distributed generation system)[J]. 电工电能新技术(Advanced Technology of Electrical Engineering and Energy),2012,31(1):22-25.
[6] Pipattanasomporn M, Kuzlu M, Rahman S. An algorithm for intelligent home energy management and demand response analysis[J]. IEEE Transactions on Smart Grid, 2012, 3(4): 2166-2173.
[7] 张木银,周玲,管志成,等(Zhang Muyin, Zhou Ling, Guan Zhicheng, et al.). 考虑需求响应影响的含分布式电源的配电网多目标协调规划(Multi-objective coordinated planning of distribution network with distributed generation considering influence of demand response)[J]. 电工电能新技术(Advanced Technology of Electrical Engineering and Energy),2017,36(3):16-21.
[8] 齐晓曼,何胜,杨林青,等(Qi Xiaoman, He Sheng, Yang Linqing, el al.). 智能社区低碳能源系统运营策略研究(Operation strategy for low-carbon energy system in smart community)[J]. 华东电力(East China Electric Power),2014,42(12):2717-2721.
[9] 王澄,徐延才,魏庆来,等(Wang Cheng, Xu Yancai, Wei Qinglai, et al.). 智能小区商业模式及运营策略分析(Analysis of intelligent community business model and operation mode)[J]. 电力系统保护与控制(Power System Protection and Control),2015,43(6):147-154.
[10] 樊飞龙,邰能灵,郑晓冬,等(Fan Feilong, Tai Nengling, Zheng Xiaodong, et al.). 基于前推回代优化算法的社区能源网络有功实时调配策略(Real-time deployment strategy of the active power in community energy networks based on back/forward optimization algorithm)[J]. 中国电机工程学报(Proceedings of the CSEE),2017,37(14):4098-4108.
[11] 刘旭娜,肖先勇,李长松(Liu Xuna, Xiao Xianyong, Li Changsong). 动态终端能量管理系统及其节能削峰效益分析(Dynamic ending energy management system and its benefits on energy-saving and peak-clipping)[J]. 华东电力(East China Electric Power),2012, 40(10):1709-1714.
[12] 陆俊,彭文昊,朱炎平,等(Lu Jun, Peng Wenhao, Zhu Yanping, et al.). 基于粒子校正优化的智能小区需求响应调度策略(A scheduling strategy based on particle correction for intelligent power demand response)[J]. 电网技术(Power System Technology),2017,41(7):2370-2377.
[13] 颜庆国,杨永标,高辉,等(Yan Qingguo, Yang Yongbiao, Gao Hui, et al.). 智能楼宇可调资源优化控制建模及仿真分析(Modeling and simulation analysis for intelligent building adjustable resources optimization control)[J]. 电器与能效管理技术(Low Voltage Apparatus),2016, (10):31-36.
[14] 时珊珊,苏义荣,改传跃(Shi Shanshan, Su Yirong, Gai Chuanyue). 智能社区低碳能源管理系统方案研究(Scheme for low-carbon energy management system in intelligent community)[J]. 华东电力(East China Electric Power),2014,42(12):2918-2921.
[15] 万庆祝,陈娅兰,李正熙(Wan Qingzhu, Chen Yalan, Li Zhengxi). 一种家庭能量管理系统的优化方法及装置(A optimization method and device of home energy management system)[P]. 中国专利(Chinese Patent): CN105844365A, 2016-04-08.
[16] 张延宇,曾鹏,臧传治(Zhang Yanyu, Zeng Peng, Zang Chuanzhi). 智能电网环境下家庭能源管理系统优化调度算法(A scheduling algorithm for home energy management system in smart grid)[J]. 电力系统保护与控制(Power System Protection and Control),2016,44(2):18-26.
[17] 常虹,焦斌,顾幸生(Chang Hong, Jiao Bin, Gu Xingsheng). 自适应和声搜索算法及在数值优化中的应用(Adaptive harmony search algorithm and its application to numerical optimization problems)[J]. 控制工程(Control Engineering of China),2012,19(3):455-458.
[18] 乔英,高岳林,江巧永(Qiao Ying,Gao Yuelin,Jiang Qiaoyong). 改进的多目标和声搜索算法(Improved harmony search algorithm for multi-objective)[J].计算机工程(Computer Engineering),2012,38(18):144-146.
[19] 张子泳,仉梦林,李莎(Zhang Ziyong, Zhang Menglin, Li Sha). 基于多目标粒子群算法的电力系统环境经济调度研究(Environmental/economic power dispatch based on multi-objective particle swarm constraint optimization algorithm)[J]. 电力系统保护与控制(Power System Protection and Control),2017,45(10):1-10.
[20] 徐晓光(Xu Xiaoguang). 计及多目标的微网协同调度研究(Multi-objective collaborative scheduling study for microgrid)[D]. 青岛:青岛大学(Qingdao: Qingdao University),2015.
[2] 贾艳芳,易灵芝,李胜兵(Jia Yanfang, Yi Lingzhi, Li Shengbing).基于多目标分子动理论的楼宇负荷用电调度优化(Optimal scheduling of building load electricity consumption based on multi-objective molecular motion theory)[J].电网技术(Power System Technology), 2018, 42(5): 1549-1555.
[3] Zhang D, Shah N, Papageorgiou L G. Efficient energy consumption and operation management in a smart building with microgrid[J]. Energy Conversion & Management, 2013, 74: 209-222.
[4] 王建华,张国钢,耿英三,等(Wang Jianhua, Zhang Guogang, Geng Yingsan, et al.). 智能电器最新技术研究及应用发展前景(The latest technology research and application prospects of the intelligent electrical apparatus)[J].电工技术学报(Transactions of China Electrotechnical Society),2015,30(9):1-11.
[5] 董博,李永东,郑治雪(Dong Bo, Li Yongdong, Zheng Zhixue). 分布式新能源发电中储能系统能量管理(Energy management of hybrid storage in distributed generation system)[J]. 电工电能新技术(Advanced Technology of Electrical Engineering and Energy),2012,31(1):22-25.
[6] Pipattanasomporn M, Kuzlu M, Rahman S. An algorithm for intelligent home energy management and demand response analysis[J]. IEEE Transactions on Smart Grid, 2012, 3(4): 2166-2173.
[7] 张木银,周玲,管志成,等(Zhang Muyin, Zhou Ling, Guan Zhicheng, et al.). 考虑需求响应影响的含分布式电源的配电网多目标协调规划(Multi-objective coordinated planning of distribution network with distributed generation considering influence of demand response)[J]. 电工电能新技术(Advanced Technology of Electrical Engineering and Energy),2017,36(3):16-21.
[8] 齐晓曼,何胜,杨林青,等(Qi Xiaoman, He Sheng, Yang Linqing, el al.). 智能社区低碳能源系统运营策略研究(Operation strategy for low-carbon energy system in smart community)[J]. 华东电力(East China Electric Power),2014,42(12):2717-2721.
[9] 王澄,徐延才,魏庆来,等(Wang Cheng, Xu Yancai, Wei Qinglai, et al.). 智能小区商业模式及运营策略分析(Analysis of intelligent community business model and operation mode)[J]. 电力系统保护与控制(Power System Protection and Control),2015,43(6):147-154.
[10] 樊飞龙,邰能灵,郑晓冬,等(Fan Feilong, Tai Nengling, Zheng Xiaodong, et al.). 基于前推回代优化算法的社区能源网络有功实时调配策略(Real-time deployment strategy of the active power in community energy networks based on back/forward optimization algorithm)[J]. 中国电机工程学报(Proceedings of the CSEE),2017,37(14):4098-4108.
[11] 刘旭娜,肖先勇,李长松(Liu Xuna, Xiao Xianyong, Li Changsong). 动态终端能量管理系统及其节能削峰效益分析(Dynamic ending energy management system and its benefits on energy-saving and peak-clipping)[J]. 华东电力(East China Electric Power),2012, 40(10):1709-1714.
[12] 陆俊,彭文昊,朱炎平,等(Lu Jun, Peng Wenhao, Zhu Yanping, et al.). 基于粒子校正优化的智能小区需求响应调度策略(A scheduling strategy based on particle correction for intelligent power demand response)[J]. 电网技术(Power System Technology),2017,41(7):2370-2377.
[13] 颜庆国,杨永标,高辉,等(Yan Qingguo, Yang Yongbiao, Gao Hui, et al.). 智能楼宇可调资源优化控制建模及仿真分析(Modeling and simulation analysis for intelligent building adjustable resources optimization control)[J]. 电器与能效管理技术(Low Voltage Apparatus),2016, (10):31-36.
[14] 时珊珊,苏义荣,改传跃(Shi Shanshan, Su Yirong, Gai Chuanyue). 智能社区低碳能源管理系统方案研究(Scheme for low-carbon energy management system in intelligent community)[J]. 华东电力(East China Electric Power),2014,42(12):2918-2921.
[15] 万庆祝,陈娅兰,李正熙(Wan Qingzhu, Chen Yalan, Li Zhengxi). 一种家庭能量管理系统的优化方法及装置(A optimization method and device of home energy management system)[P]. 中国专利(Chinese Patent): CN105844365A, 2016-04-08.
[16] 张延宇,曾鹏,臧传治(Zhang Yanyu, Zeng Peng, Zang Chuanzhi). 智能电网环境下家庭能源管理系统优化调度算法(A scheduling algorithm for home energy management system in smart grid)[J]. 电力系统保护与控制(Power System Protection and Control),2016,44(2):18-26.
[17] 常虹,焦斌,顾幸生(Chang Hong, Jiao Bin, Gu Xingsheng). 自适应和声搜索算法及在数值优化中的应用(Adaptive harmony search algorithm and its application to numerical optimization problems)[J]. 控制工程(Control Engineering of China),2012,19(3):455-458.
[18] 乔英,高岳林,江巧永(Qiao Ying,Gao Yuelin,Jiang Qiaoyong). 改进的多目标和声搜索算法(Improved harmony search algorithm for multi-objective)[J].计算机工程(Computer Engineering),2012,38(18):144-146.
[19] 张子泳,仉梦林,李莎(Zhang Ziyong, Zhang Menglin, Li Sha). 基于多目标粒子群算法的电力系统环境经济调度研究(Environmental/economic power dispatch based on multi-objective particle swarm constraint optimization algorithm)[J]. 电力系统保护与控制(Power System Protection and Control),2017,45(10):1-10.
[20] 徐晓光(Xu Xiaoguang). 计及多目标的微网协同调度研究(Multi-objective collaborative scheduling study for microgrid)[D]. 青岛:青岛大学(Qingdao: Qingdao University),2015.
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