A Prediction Method for Distributed Generation Layout Based on Multi-factor Weights Optimization

doi:10.11930/j.issn.1004-9649.2016.03.172.06

Abstract

Abstract: Distributed generation(DG) is characterized by low investment, flexible installation, strong policy support and easy government approval. The development of distributed generations is impacted less by the government policy and become market-oriented, it is therefore possible to predict the future DG layout. The DG layout needs to consider multiple factors, including the resources conditions, project economy, and power grid conditions. In order to accurately predict the future DG layout for every province and provide guidance for the scientific planning, a prediction method for DG layout is proposed in this paper based on multi-factor weights optimization, in which a variety of factors are considered and the historical data are used to determine the weights of the factors by optimization. The method, being comprehensive in considering influence factors, accurate in determining the factor weights and easy in program coding, can predict DG layout in the target year based on the multiple factors. The case study of PV DG shows that the Central-east China region will be the key area for the DG development.

Key words: distributed generation layout, influence factor, weight optimization, power grid condition

CLC Number:

TM611

HUANG Bibin, LI Qionghui, GAO Fei. A Prediction Method for Distributed Generation Layout Based on Multi-factor Weights Optimization[J]. Electric Power, 2016, 49(3): 172-177.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.03.172.06

https://www.electricpower.com.cn/EN/Y2016/V49/I3/172

References

[1] 李琼慧，黄碧斌，蒋莉萍．国内外分布式电源定义及发展现况对比分析[J]．中国能源，2012，34（8）：31-34．
LI Qionghui, HUANG Bibin, JIANG Liping． Comparative analysis of the definition and development status of distributed generation at home and abroad [J]． Energy of China, 2012, 34(8): 31-34.
[2] 吕双辉，蔡声霞，王守相. 分布式光伏-储能系统的经济性评估及发展建议[J]. 中国电力，２０１５，４８（２）：１３９－１４４．
LU Shuanghui, CAI Shengxia, WANG Shouxiang. Economy evaluation and development suggestions for distributed PV-energy storage system in China [J]. Electric Power, 2015, 48(2): 139-144.
[3] 陈秋南，韦钢，蔡阳，等. 基于特征匹配的分布式电源与地区负荷的适应性分析[J]. 中国电力，２０１４，４７（６）：９５－１００．
CHEN Qiunan, WEI Gang, CAI Yang, et al. Analysis of adaptability of distributed generation and region load based on feature matching algorithm [J]. Electric Power, 2014, 47(6): 95-100.
[4] 李泓泽，王宝，郭森. 分布式电源接入配电网的经济效益及电压稳定性[J]. 中国电力，２０１２，４５（３）：３３－３６．
LI Hongze, WANG Bao, GUO Sen. Economic benefits and voltage stability of distributed generation integrated into distribution network [J]. Electric Power, 2012, 45(3): 33-36.
[5] 国家能源局．关于下达2014年光伏发电年度新增建设规模的通知[Z]．北京：国家能源局，2014．
[6] 国家能源局．可再生能源战略研究[R]．北京：国家能源局，2013．
[7] 国网能源研究院．分布式电源和微电网优化发展理论、分析技术研究与应用[R]．北京：国网能源研究院，2014．
[8] 国网能源研究院．天然气分布式能源系统发展规划研究[R]．北京：国网能源研究院，2013．
[9] 刘庆超，刘科，钟天宇，等．城镇化过程中天然气分布式能源发展机遇探讨[J]．发电与空调，２０１４，３５（４）：６－９．
LIU Qingchao, LIU Ke, ZHONG Tianyu, et al． Investigation on development opportunities of natural gas distribution energy in the process of urbanization[J]． Power Generation and Air Condition, 2014, 35(4): 6-9．
[10] 王志群，朱守真，周双喜，等．分布式发电接入位置和注入容量限制的研究[J]．电力系统及其自动化学报，２００５，１７（１）：５３－５８．
WANG Zhiqun, ZHU Shouzhen, ZHOU Shuangxi, et al． Study on location and penetration of distributed generations [J]． Proceedings of the CSU-EPSA, 2005, 17(1): 53-58．
[11] BANK J, MATHER B, KELLER J, et al． High penetration photovoltaic case study report [R]． NREL, 2013．
[12] CAO D M, PUDJIANTO D, STRBAC G, et al． Costs and benefits of DG connections to grid system-studies on the UK and finnish systems [R]. Intelligent Energy, 2006．
[13] NICHOLAS M, KARA C, GARY J, et al． Impact of high solar penetration in the western interconnection [R]． NREL, 2010.
[14] DAVIS M, COSTYK D, NARANG A, et al． DG power quality, protection, and reliability case studies report [R]． NREL, 2005．
[15] NARANG A． Impact of large-scale distributed generation penetration on power system stability[R]． CANMET Energy Technology, 2006．
[16] 国网能源研究院．电网接纳分布式发电研究[R]．北京：国网能源研究院，2014．
[17] 国网能源研究院．分布式电源发展规划及政策法规研究[R]．北京：国网能源研究院，2014．