基于互补性的间歇性分布式电源在配网中的优化配置

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (914 KB)
输出: BibTeX | EndNote (RIS)

摘要针对分布式风电（DWG）、光伏电池（PV）等间歇性分布式电源（DG）的输出功率及系统负荷功率的概率分布在时空范围内的差异性和互补性,通过划分时段并根据每个时段内间歇性DG与系统负荷功率的概率分布,以间歇性DG投资与售电、系统降损、电压质量以及废气减排量等综合效益为目标函数,采用机会约束规划方法建立整个时段内间歇性DG的最优配置模型。选择易于处理离散变量的遗传算法进行最优求解。算例结果表明,该最优配置模型能充分考虑到间歇性DG输出功率与负荷功率的概率分布在时空域内的差异性和互补性,较全面地反应了间歇性DG接入系统后所取得的经济、环境以及电压质量等综合运行效益,验证了所提模型合理性和有效性。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	邓威
	李欣然
	李培强
	李金鑫
	孙谦
	陈冬林

关键词 ：间歇性, 分布式电源, 优化配置, 概率分布, 互补性

Abstract：With respect to the difference and complementarity of the probability distribution on the time and space,which between system load and output power of intermittent distributed generation(DG),such as wind generation(WG),solar photovoltaic(PV),by dividing time into section and considering the probability distribution of intermittent distributed generation and system load in each time-section,the optimum allocation model is built by using chance-constrained programming method. Taking the optimum comprehensive benefit of investment and the sale of electricity,the system loss reduction,voltage quality and the best overall efficiency of emission reductions as objective function,the discrete variables-friendly genetic algorithm is chosen for optimum solution. The numerical results show that optimum allocation model in this paper has taken sufficient consideration of the difference and complementarity of the probability distribution on the time and space between system load and output power of intermittent DG. And the model also gives a relatively all-round reflection of comprehensive operating benefit of economy,environment and voltage quality after intermittent DG#x00060;s injection into the system,which helps to testify its rationality and validity.

Key words： Intermittence distributed generation allocation optimization probability distribution complementarity

收稿日期: 2011-03-14 出版日期: 2013-12-11

PACS:

TM71

基金资助:国家自然科学基金 (50977023),湖南省自然科学基金 (10JJ2043) 和#x0201c;可再生能源电力技术#x0201d;湖南省重点实验室开放基金 (2010KFJJ003) 资助项目。

引用本文:

邓威，李欣然，李培强，李金鑫，孙谦，陈冬林. 基于互补性的间歇性分布式电源在配网中的优化配置[J]. 电工技术学报, 2013, 28(7): 216-225. Deng Wei,Li Xinran,Li Peiqiang,Li Jinxin,Sun Qian,Chen Donglin. Optimal Allocation of Intermittent Distributed Generation Considering Complementarity in Distributed Network. Transactions of China Electrotechnical Society, 2013, 28(7): 216-225.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2013/V28/I7/216

[1] 陈海焱, 段献忠, 陈金富. 分布式发电对配网静态电压稳定性的影响[J]. 电网技术, 2006, 30(19)：27-30.
Chen Haiyan, Duan Xianzhong, Chen Jinfu. Impacts of distributed generation on steady state voltage stability of distribution system[J]. Power System Technology, 2006, 30(19): 27-30.
[2] 胡骅, 吴汕, 夏翔, 等. 考虑电压调整约束的多个分布式电源准入功率计算[J]. 中国电机工程学报, 2006, 26(19): 13-17.
Hu Hua, Wu Shan, Xia Xiang, et al. Computing the maximum penetration level of multiple distributed generators in distribution network taking into account voltage regulation constraints[J]. Proceedings of the CSEE, 2006, 26(19): 13-17.
[3] Hadjsaid N, Canard J, Dumas F. Dispersed generation impact on distribution networks[J]. IEEE Computer Applications in Power, 1999, 12(2): 22-28.
[4] Puttgen H, MacGregor P, Lambert F. Distributed generation: semantic hype of the dawn of a new era[J]. IEEE Power and Energy Magazine, 2003, 1(1): 22-29.
[5] 裴玮, 盛鹍, 孔力, 等. 分布式电源对配网供电电压质量的影响与改善[J]. 中国电机工程学报, 2008, 28(13): 152-157.
Pei Wei, Sheng Kun, Kong Li, et al. Impact and improvement of distributed generation on distribution network voltage quality[J]. Proceedings of the CSEE, 2008, 28(13): 152-157.
[6] Zhang W Y, Zhu S Z, Zheng J H, et al. Impacts of distributed generation on electric grid and selecting of isolation transformer[C]. IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, Dalian, China, 2005.
[7] Kashem M A, Le A D T, Negnevitsky M, et al. Distributed generation for minimization of power losses in distribution systems[C]. IEEE Power Engineering Society General Meeting, Montreal, Canada, 2006.
[8] 迟永宁, 王伟胜, 戴慧珠. 改善基于双馈感应发电机的并网风电场暂态电压稳定性研究[J]. 中国电机工程学报, 2007, 27(25): 25-31.
Chi Yongning, Wang Weisheng, Dai Huizhu. Study on transient voltage stability enhancement of grid-connected wind farm with doubly fed induction generator installations[J]. Proceedings of the CSEE, 2007, 27(25): 25-31.
[9] El-Khattam W, Bhattacharya K, Hegazy Y, et al. Optimal investment planning for distributed generation in a competitive electricity market[J]. IEEE Transactions on Power Systems, 2004, 19(3): 1674-1684.
[10] El-Khattam W, Hegazy Y, Salama M M A. An integrated distributed generation optimization model for distribution system planning[J]. IEEE Transactions on Power Systems, 2005, 20(2): 1158-1165.
[11] Keane A, O'Malley M. Optimal allocation of embedded generation on distribution networks[J]. IEEE Trans on Power Systems, 2005, 20(3): 1640-1646.
[12] 张节潭, 程浩忠, 姚良忠, 等. 分布式风电源选址定容规划研究[J]. 中国电机工程学报, 2009, 29(16): 1-7.
Zhang Jietan, Cheng Haozhong, Yao Liangzhong, et al. Study on siting and sizing of distributed wind generation[J]. Proceedings of the CSEE, 2009, 29(16): 1-7.
[13] 郑漳华, 艾芊, 顾承红, 等. 考虑环境因素的分布式发电多目标优化配置[J]. 中国电机工程学报, 2009, 29(13): 23-28.
Zheng Zhanghua, Ai Qian, Gu Chenghong, et al. Multi-objective allocation of distributed generation considering environmental factor[J]. Proceedings of the CSEE, 2009, 29(13): 23-28.
[14] Seguro J V, Lambert T W. Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2000, 85(1): 75-84.
[15] Feijoo A E, Cidras J, Dornelas J L G. Wind speed simulation in wind farms for steady-state security assessment of electrical power systems[J]. IEEE Transactions on Energy Conversion, 1999, 14(4): 1582-1588.
[16] Karakish, Chedid R B, Ramadan, Probabibstic performance assessent of autonomous solar-wind energy conversion systems[J]. IEEE Transactions on Engry Conversion, 1999, 14(3): 766-772.
[17] Abouzahr I, Ramakumar R. An approach to assess the performance of utility-interactive wind electric conversion systems[J]. IEEE Transactions on Energy Conversion, 1991, 6(4): 627-638.
[18] Feijoo A E, Cidras J. Modeling of wind farms in the load flow analysis[J]. IEEE Transactions on Power Systems, 2000, 15(1): 110-115.
[19] Karaki S H, Chedid R B, Ramadan R. Probabilistic performance assessment of autonomous solar-wind energy conversion systems[J]. IEEE Transactions on Energy Conversion, 1999, 14(3): 766-772.
[20] 王成山, 郑海峰, 谢莹华, 等. 计及分布式发电的配电系统随机潮流计算[J]. 电力系统自动化, 2005, 29(14): 39-44.
Wang Chengshan, Zheng Haifeng, Xie Yinghua, et al. Probabilistic powet flow containing distributed generation in distribution system[J]. Automation of Electric Power Systems, 2005, 29(14): 39-44.
[21] 王锡凡, 王秀丽. 电力系统的随机潮流分析[J]. 西安交通大学学报, 1988, 22(3): 87-97.
Wang Xifan, Wang Xiuli. Probabilistic load flow analysis in power systems[J]. Journal of Xi#x02032;an Jiaotong University, 1988, 22(3): 87-97.
[22] 胡泽春, 王锡凡, 张显, 等. 考虑线路故障的随机潮流[J]. 中国电机工程学报, 2005, 25(24): 26-33.
Hu Zechun, Wang Xifan, Zhang Xian, et al. Probabilistic load flow method considering branch outages[J]. Proceedings of the CSEE, 2005, 25(24): 26-33.
[23] 胡泽春, 王锡凡. 考虑负荷概率分布的随机最优潮流方法[J]. 电力系统自动化, 2007, 31(16): 14-18.
Hu Zechun, Wang Xifan. Stochastic optimal power flow approach considering load probabilistic distributions[J]. Automation of Electric Power Systems, 2007, 31(16): 14-18.
[24] 刘健, 徐精求, 董海鹏. 配电网概率负荷分析及其应用[J]. 电网技术, 2004, 28(6): 67-75.
Liu Jian1, Xu Jingqiu, Dong Haipeng. Probabilistic load flow analysis of distribution network and its application[J]. Power Systems Technology, 2004, 28(6): 67-75.
[25] Zhang P, Lee S T. Probabilistic load flow computation using the method of combined cumulants and gram-charlier expansion[J]. IEEE Transactions on Power Systems, 2004, 19(1): 676-682.
[26] Baran M E, Wu F F. Network reconfiguration in distribution systems for loss reduction and load balancing[J]. IEEE Transactions on Power Delivery, 1989, 4(4): 1401-1407.