Micro-grid Generation Scheduling Analysis Based on Improved Genetic Algorithm

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Development of Energy Science

Development of Energy Science is an international comprehensive professional academic journal of Ivy Publisher, concerning the energy research and utilization technology development, on the research of energy development, production, conversion, transmission, distribution and utilization. The main focus of the journal is the energy science theory, academic papers and comments of latest research improvement in the fields of nature science, enginee... [More] Development of Energy Science is an international comprehensive professional academic journal of Ivy Publisher, concerning the energy research and utilization technology development, on the research of energy development, production, conversion, transmission, distribution and utilization. The main focus of the journal is the energy science theory, academic papers and comments of latest research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the development of energy science and technology.

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Paper Infomation

Micro-grid Generation Scheduling Analysis Based on Improved Genetic Algorithm

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Author: Huizheng Ji, Dongxiao Niu, Bingjie Li, Meiqiong Wu

Abstract: As one of the key technologies of the future energy supply, micro-grid has a lot of technical problems need to be solved. After analyzing the similarities and differences between micro-grid and other energy sources, the economic, reliability and environmental protection are used as the basis of system analysis. The power of the power generation characteristics and energy dissipation characteristics to establish mathematical model, based on hierarchical analysis method, the different operation strategy of multi objective function constructed as a single objective model. Finally, combined with the improved genetic algorithm to solve the model. Case analysis shows that the results obtained by the proposed model are consistent with the actual situation, and can get more accurate optimal power scheduling.

Keywords: Micro grid,scheduling,AHP,improved genetic algorithm

References:

[1]YANG Qi, MA shiying, TANG xiaojun, LI xiaojun. Evaluation Index System Construction and Application of Microgrid Planning[J]. Automation of Electric Power Systems, 2012, 36(9): 13-17.

[2]WANG He, LI Guoqing. Control strategy of microgrid with different DG types[J]. Electric Power Automation Equipment, 2012, 32(5): 19-23..

[3] LIU Zhuangzhi. Research on theory and application of snuirt distribution network planning including micro-grid[D]. Beijing: North China Electric Power University, 2013: 1-132.

[4]ZHAO He,WANG Kun,JING Tianjun. Economic Analysis of Micro-Grid in Energy Self-Balance Mode[J]. Electric Power Construction, 2014,35(5): 113-117.

[5]DONG Xiaobo, JIAO Liqiang, TAN Lei. Evaluation of Micro-Grid in economic benefit[J]. Technology Wind, 2013: 217-218.

[6]CHEN Anwei. Research on the Technical Economic Problems of the Smart Grid[D]. Chongqing: Chongqing University, 2012: 1-165.

[7]LI Chengxi, YANG Qiang, YAN Wenjun. Dynamic islanding operation of microgrid with distributed photovoltaic generators[J]. Power System Protection and Control, 2013, 41(8): 99-105.

[8]MA Wei, LV Lin, LIU Yaobo, TANG Xian’gang, SHUI Yiqin, WANG Xiaoyin.Grid-Connection Plannning of Microgrid Based on Reliability[J]. East China Electric Power, 2012, 40(2): 221-226.

[9]SHEN Yuming. Optimal Capacity Models of Ditributed Generating Units and Optimal Operation Models for Microgrid[D]. Chongqing: Chongqing University, 2014: 1-61.

[10]LIANG Xu, LIU Pengfei,HUANG Ming. Application of new dynamic ant algorithm-genetic algorithm[J]. Computer Integrated Manufacturing Systems, 2008,14(8): 1566-1570.