基于全寿命周期理论的微电网优化配置

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Abstract Based on the whole life cycle theory, the optimal configuration model of the microgrid project under the life cycle framework is proposed. A calculation model of NPV income in the whole life cycle of microgrid is established, with the initial investment, operational maintenance and failure, depreciation cost, energy supply, energy saving and environmental benefits of the microgrid taken into account. The net present value income in the whole life cycle is taken as the objective function, and the optimal configuration model is built up with the constraints of distributed power supply, energy storage and discharge, operating voltage and frequency, power supply reliability, and the switching power of the main network. The particle swarm optimization algorithm is used to solve the problem, the results show that compared with the traditional optimal allocation method, the optimized configuration scheme obtained by this method can achieve the best net income in the life cycle of the microgrid and ensure the best econ-omy of investment. It will provide guidance for the construction of microgrid project, and promote the marketization and industrialization of the microgrid.

Key words： life cycle microgrid optimal configuration particle swarm optimization (PSO)

Received: 10 August 2019 Published: 20 March 2020

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	Articles by authors
	Dong Chen
	Xia Yanhui
	Sun Dan

Cite this article:

Dong Chen,Xia Yanhui,Sun Dan. Research on optimal configuration of microgrid under life cycle frame-work[J]. Electrical Engineering, 2020, 21(3): 59-63.

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http://dqjs.cesmedia.cn/EN/Y2020/V21/I3/59

[1] 王成山, 周越. 微电网示范工程综述[J]. 供用电, 2015(1): 16-21.
[2] 赵波. 微电网优化配置关键技术及应用[M]. 北京: 科学出版社, 2015.
[3] 王雅平, 林舜江, 杨智斌, 等. 微电网多目标随机动态优化调度算法[J]. 电工技术学报, 2018, 33(10): 2196-2207.
[4] 欧阳聪, 刘明波, 林舜江, 等. 采用同步型交替方向乘子法的微电网分散式动态经济调度算法[J]. 电工技术学报, 2017, 32(5): 134-142.
[5] 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.
[6] 廖进贤, 杨家豪, 王紫瑶, 等. 计及时序特性的孤岛微电网运行模拟方法[J]. 电气技术, 2018, 19(7): 21-26.
[7] 李登峰, 谢开贵, 胡博, 等. 基于净效益最大化的微电网电源优化配置[J]. 电力系统保护与控制, 2013, 41(20): 20-26.
[8] 刘华锋. 配电网工程全寿命周期管理的研究与分析[J]. 电气技术, 2018, 19(11): 104-107.
[9] 董炜, 沈金荣, 惠杰, 等. 基于全生命周期管理的微电网设备管理系统[J]. 机电工程, 2017, 34(11): 1330-1333.
[10] 黄裕春, 莫文雄, 陆国俊, 等. 不同电价机制下家庭型微电网全寿命周期的经济性分析[J]. 电力建设, 2016, 37(11): 9-15.
[11] 帅军庆. 电力企业资产全寿命周期管理: 理论, 方法及应用[M]. 北京: 中国电力出版社, 2010.
[12] 沈玉明, 胡博, 谢开贵, 等. 计及储能寿命损耗的孤立微电网最优经济运行[J]. 电网技术, 2014, 38(9): 2371-2378.
[13] 罗晓初, 李乐, 魏志连, 等. 全寿命周期成本理论在配电变压器改造投资决策中的应用[J]. 电网技术, 2011, 35(2): 207-211.
[14] 史京楠, 韩红丽, 徐涛. 全寿命周期成本分析在变电工程规划设计中的应用[J]. 电网技术, 2009, 33(9): 63-66.
[15] 吴红斌, 侯小凡, 赵波, 等. 计及可入网电动汽车的微网系统经济调度[J]. 电力系统自动化, 2014, 38(9): 77-84, 99.
[16] 谈竹奎, 徐玉韬, 班国邦, 等. 基于主从控制的交直流混合微电网多模式运行与切换策略[J]. 电气技术, 2018, 19(9): 60-64.
[17] 朱博, 陈民铀, 徐瑞林, 等. 孤岛模式下的微网优化运行策略[J]. 电力系统保护与控制, 2012, 40(17): 35-40.
[18] 吴耀文, 马溪原, 孙元章, 等. 微网高渗透率接入后的综合经济效益评估与分析[J]. 电力系统保护与控制, 2012, 40(13): 49-54.
[19] 李国军, 袁铁江, 孙谊媊, 等. 风电-氢储能与煤化工多能耦合系统全寿命周期经济性评估[J]. 电工技术学报, 2017, 32(21): 132-142.
[20] 罗毅, 刘明亮. 计及风险备用约束的孤网系统环保经济调度[J]. 电网技术, 2013, 37(10): 2705-2711.