|
|
|
| Power System Multi-Objective Optimization Dispatch Based on an Improved Decision-Making Method |
| Zheng Xiao1, Zhang Jing2, Ma Taotao1, Zhu Shaohua1, Huang Bin3, Guo Chuangxin1 |
| 1. Zhejiang University Hangzhou 310027 China 2. Patent Agency of Jiangxi Province Nanchang 330046 China 3. Zhejiang Electricity Power Corporation Hangzhou 310007 China |
|
|
|
|
Abstract Taking energy-saving, environmental protection and economic principles as objectives, an optimal multi-objective scheduling model and multi-objective particle swarm optimization algorithm (MOPSO) are presented. Traditionally, only coordination degree was considered as the final target for transforming the multi-objective optimization problem into a single-objective one. In this paper, model is improved by adding the satisfaction requirements with coordination degree, and removing the ideal value used in the definition of satisfaction and coordination. In such a way, the feasibility of decision-making is improved, and the decision burden of decision-makers is alleviated effectively. Results of the case study proves that the improved method proposed can be suitable to adopt in the multi-objective optimization dispatch.
|
|
Received: 01 April 2009
Published: 04 March 2014
|
|
|
|
|
|
[1] 国务院办公厅. 关于转发国家发展改革委等部门节能发电调度办法 (试行) 的通知. http://www.gov.cn/ zwgk/2007-08/07/content_708486.htm.
[2] 张欣莉. 基于目标满意度的交互式多目标决策改进方法[J]. 系统工程, 2004, 22(9): 10-13.
[3] Basu M. An interactive fuzzy satisfying method based on evolutionary programming technique for multiob- jective short-term hydrothermal scheduling[J]. Electric Power Systems Research, 2004, 69(2-3): 277-285.
[4] 胡国强, 贺仁睦. 基于交互式多目标决策方法水火电力系统日有功负荷优化分配[J]. 电网技术, 2007, 31(18): 37-42.
[5] Doherty R, et al. System operation with a significant wind power penetration[J]. IEEE Transactions on Power Systems, 2005, 20(2): 587-595.
[6] Wood A J, Wollenberg B F. Power generation, operation and control[M]. USA: John Wiley & Sons Inc., 1984.
[7] Shapic E, Balzer G. Power fluctuation from a large wind farm[C]. 2005 International Conference on Future Power Systems, 2005: 16-18.
[8] Eleanor Denny, Mark O'Malley. Wind generation, power system operation, and emissions reduction[J]. IEEE Transactions on Power Systems, 2006, 21(1): 341-347.
[9] Ermanshahi B S, Mu Y, Yasuda K, et al. Environ- mental marginal cost evaluation by non-inferiority surface[J]. IEEE Transactions on Power Systems, 1990, 5(4): 1151-1159.
[10] Wang Lingfeng, Chanan Singh. Tradeoff between risk and cost in economic dispatch including wind power penetration using particle swarm optimization[C]. 2006 International Conference on Power System Technology, 2006: 1-7.
[11] 汪晗. 基于进化计算的多目标优化与决策方法研 究[D]. 长沙: 国防科学技术大学, 2002.
[12] 汪新星, 张明. 基于改进微粒群算法的水火电力系统短期发电计划优化[J]. 电网技术, 2004, 28(12): 16-19. |
|
|
|
2010, Vol. 25 
