基于成本和效益分析的并网光储微网系统电源规划

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摘要随着微网的迅速发展,电源规划对微网的建设具有重要指导意义。针对并网光储微网系统电源规划问题,提出基于成本和效益分析的并网微网系统电源规划方法。在考虑光伏补贴政策与两部制用户分时电价基础上,根据成本和效益分析理论,建立以生命周期净收益最大为目标的微网电源规划模型,分别采用粒子群算法、人工鱼群算法与量子遗传算法对模型进行求解。通过对上海某地区实际负荷数据仿真分析,给出该地区并网光储微网系统的电源规划结果及其经济效益,以及三种算法的对比结果。仿真结果表明粒子群算法在该微网电源规划模型求解中具有优越性。

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	韩晓娟
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关键词 ：微网, 电源规划, 成本和效益分析, 粒子群算法

Abstract：With the rapid development of micro-grid, the generation planning has an important guiding significance for micro-grid construction. This paper proposes a micro-grid generation planning method for grid-connected micro-grid system with photovoltaic (PV) and battery energy system, based on the cost/benefit analysis theory. A micro-grid generation planning model with the goal of maximum lifecycle net profit is established in this paper, considering PV subsidy policy and two-part time-sharing electricity price. Three algorithms including particle swarm (PS) algorithm, AFSA and quantum genetic algorithm are used to solve the model. Thanks to the simulation test based on the real data in Shanghai, the planning results and the economic benefits of the micro-grid system are obtained by three optimal algorithms. The simulation results show the PS algorithm has advantages in solving the generation planning model of micro-grid.

Key words： Micro-grid generation planning cost/benefit analysis particle swarm algorithm

收稿日期: 2015-12-19 出版日期: 2016-07-28

PACS:

TM715

作者简介: 韩晓娟女,1970年生,教授,研究方向为新能源发电控制技术、故障诊断、信息融合和检测技术等。E-mail: wmhxj@163.com

引用本文:

韩晓娟, 王丽娜, 高僮, 修晓青. 基于成本和效益分析的并网光储微网系统电源规划[J]. 电工技术学报, 2016, 31(14): 31-39. Han Xiaojuan, Wang Lina, Gao Tong, Xiu Xiaoqing. Generation Planning of Grid-Connected Micro-Grid System with PV and Batteries Storage System Based on Cost and Benefit Analysis. Transactions of China Electrotechnical Society, 2016, 31(14): 31-39.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I14/31

[1] 李建林, 籍天明, 孔令达, 等. 光伏发电数据挖掘中的跨度选取[J]. 电工技术学报, 2015, 30(14): 450-456.
Li Jianlin, Ji Tianming, Kong Lingda, et al. Span determining of photovoltaic generation data mining[J]. Transactions of China Electrotechnical Society, 2015, 30(14):450-456.
[2] 苏剑, 周莉梅, 李蕊. 分布式光伏发电并网的成本/效益分析[J]. 中国电机工程学报, 2013, 33(34): 50-56.
Su Jian, Zhou Limei, Li Rui. Cost-benefit analysis of distributed grid-connected photovoltaic power generation[J]. Proceedings of the CSEE, 2013, 33(34): 50-56.
[3] 国家发展改革委员会．国家发展改革委关于促进光伏产业健康发展的通知, 发改价格[2013]1638号[R]. 北京, 2013.
[4] 茆美琴, 金鹏, 张榴晨, 等. 工业用光伏微网运行策略优化与经济性分析[J]. 电工技术学报, 2014, 29(2): 35-45.
Mao Meiqin, Jin Peng, Zhang Liuchen, et al. Optimization of operation strategies and economic analysis of PV microgrids for industries[J]. Transa- ctions of China Electrotechnical Society, 2014, 29(2): 35-45.
[5] 徐少华, 李建林. 光储微网系统并网/孤岛运行控制策略[J]. 中国电机工程学报, 2013, 33(34): 25-33.
Xu Shaohua, Li Jianlin. Grid-connected/island operation control strategy for photovoltaic/battery micro-grid[J]. Proceedings of the CSEE, 2013, 33(34): 25-33.
[6] 冯光. 储能技术在微网中的应用研究[D]. 武汉: 华中科技大学, 2009.
[7] 姚勇, 朱桂萍, 刘秀成. 电池储能系统在改善微电网电能质量中的应用[J]. 电工技术学报, 2012, 27(1): 85-89.
Yao Yong, Zhu Guiping, Liu Xiucheng. Improve- ment of power quality of micro-grids by battery energy storage system[J]. Transactions of China Electrotechnical Society, 2012, 27(1): 85-89.
[8] 张建华, 于雷, 刘念, 等. 含风/光/柴/蓄及海水淡化负荷的微电网容量优化配置[J]. 电工技术学报, 2014, 29(2):102-112.
Zhang Jianhua, Yu Lei, Liu Nian, et al. Capacity configuration optimization for island microgrid with wind/photovoltaic/diesel/storage and seawater desalin- ation load[J]. Transactions of China Electrotechnical Society, 2014, 29(2): 102-112.
[9] 李锐, 李鹏. 储能系统在孤岛微网中应用[J]. 电气技术, 2014(6): 15-18.
Li Rui, Li Peng. Energy storage system applications in the islanding microgrid[J]. Electrical Engineering, 2014(6): 15-18.
[10] 于波. 微网与储能系统容量优化规划[D]. 天津: 天津大学, 2012.
[11] 曹智平, 周力行, 张艳萍, 等. 基于供电可靠性的微电网规划[J]. 电力系统保护与控制, 2015, 43(14): 10-15.
Cao Zhiping, Zhou Lixing, Zhang Yanping, et al. Micro-grid planning based on supply reliability[J]. Power System Protection and Control, 2015, 43(14): 10-15.
[12] 舒杰, 张先勇, 沈玉梁, 等. 可再生能源分布式微网电源规划方法及应用[J]. 控制理论与应用, 2010, 27(5): 675-679.
Shu Jie, Zhang Xianyong, Shen Yuliang, et al. The algorithm and application in power sources planning and de-signing for micro-grid based on distributed renewable energy[J]. Control Theory & Applications, 2010, 27(5): 675-679.
[13] 杨琦, 张建华, 刘自发, 等. 风光互补混合供电系统多目标优化设计[J]. 电力系统自动化, 2009, 33(17): 86-90.
Yang Qi, Zhang Jianhua, Liu Zifa, et al. Multi- objective optimization of hybrid PV/wind power supply system[J]. Automation of Electric Power Systems, 2009, 33(17): 86-90.
[14] Wu Haitao, Huang Fuzhen. Distributed generation planning for microgrid based on hybrid particle swarm optimization algorithm[C]//Proceedings of 2012 International Conference on Future Electrical Power and Energy Systems (ICFEPES), Shanghai, 2012-03.
[15] 马溪原, 吴耀文, 方华亮, 等. 采用改进细菌觅食算法的风/光/储混合微电网电源优化配置[J]. 中国电机工程学报, 2011, 31(25): 17-25.
Ma Xiyuan, Wu Yaowen, Fang Hualiang, et al. Optimal sizing of hybrid solar-wind distributed generation in an islanded microgrid using improved bacterial foraging algorithm[J]. Proceedings of the CSEE, 2011, 31(25): 17-25.
[16] 郑凌蔚, 刘士荣, 周文君, 等. 并网型可再生能源发电系统容量配置与优化[J]. 电力系统保护与控制, 2014, 42(17): 31-37.
Zheng Lingwei, Liu Shirong, Zhou Wenjun, et al. Capacity configuration and optimization of grid- connected renewable energy power generation system[J]. Power System Protection and Control, 2014, 42(17): 31-37.
[17] 李登峰. 并网型微网电源容量优化配置模型及算法研究[D]. 重庆: 重庆大学, 2013.
[18] 曹培, 王媚, 郭创新, 等. 智能微网运行的低碳综合效益分析[J]. 电网技术, 2012, 36(6): 15-20.
Cao Pei, Wang Mei, Guo Chuangxin, et al. Analysis on low-carbon integrative benefits of smart microgrid operation[J]. Power System Technology, 2012, 36(6): 15-20.
[19] 佟晶晶, 温俊强, 王丹, 等. 基于分时电价的电动汽车多目标优化充电策略[J]. 电力系统保护与控制, 2016, 44(1): 17-23.
Tong Jingjing, Wen Junqiang, Wang Dan, et al. Multi-objective optimization charging strategy for plug-in electric vehicles based on time-of-use price[J]. Power System Protection and Control, 2016, 44(1): 17-23.
[20] 王雨薇. 面向调峰激励的发电侧两部制峰谷电价研究[D]. 大连: 大连理工大学, 2013.
[21] 韩磊. 基于成本效益分析的分布式电源规划[D]. 长沙: 长沙理工大学, 2010.
[22] 李凯杰, 曲如晓. 碳排放交易体系初始排放权分配机制的研究进展[J]. 经济学动态, 2012(6): 130-138.
Li Kaijie, Qu Ruxiao. Advances in initial emission rights allocation mechanism of carbon emissions trading system[J]. Economic Perspectives, 2012(6): 130-138.
[23] 苏海滨, 高孟泽, 常海松. 基于粒子群算法的微电网有功无功下垂控制[J]. 电工技术学报, 2015, 30(增1): 365-369.
Su Haibin, Gao Mengze, Chang Haisong. Microgrid droop control of active and reactive power based on PSO[J]. Transactions of China Electrotechnical Society, 2015, 30(S1): 365-369.