基于峰谷分时电价机制的节能发电调度优化模型

运筹与管理 ›› 2014, Vol. 23 ›› Issue (1): 101-107.

基于峰谷分时电价机制的节能发电调度优化模型

谭忠富¹, 宋艺航¹, 李效臻², 张会娟¹, 安建强¹

1.华北电力大学经济与管理学院,北京 102206;
2.广东电力设计研究院,广东广州 510663

收稿日期:2012-07-12 出版日期:2014-01-25
作者简介:谭忠富(1964-),男,博士后,教授
基金资助:
国家自然科学基金资助项目(71071053,71273090)

Energy-Saving Generation Dispatching Optimization Model Based on Time-of-Use Price Mechanism

TAN Zhong-fu¹, SONG Yi-hang¹, LI Xiao-zhen², ZHANG Hui-juan¹, AN Jian-qiang¹

1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;
2. Guangdong Electric Power Design Institute, Guangzhou 510663, China

Received:2012-07-12 Online:2014-01-25

摘要/Abstract

摘要： 为减少能源消耗,电力工业在发电侧推行节能发电调度,而在用电侧则施行需求侧管理。事实上,发电侧与用电侧可以通过联合优化实现更好的节能效果。峰谷分时电价将改变原有系统负荷的分布,发电侧机组发电调度的安排将随之改变,发电煤耗水平也将相应地变动。有鉴于此,首先分别构建了需求侧峰谷分时电价响应分析模型以及发电侧节能发电调度的机组组合模型;其次,为了实现分时电价响应向机组煤耗效益的传递,以机组发电煤耗与启停煤耗最少为目标构建了需求侧与发电侧的联合优化模型;最后,通过算例分析发掘模型的节能效益,借助GAMS求解上述模型,优化结果表明分时电价的优化将有助于改进发电侧的节能调度效果,同时将实现一定的环境效益。

关键词: 节能发电调度, 峰谷分时电价, 机组组合, 联合优化

Abstract: To reduce energy consumption in power industry, energy saving generation dispatching is carried out on the generation side, and DSM is implemented on the user side. In fact, joint optimization of the generation side and user side could achieve better energy saving effect. With the implementation of Time-of-Use(TOU)price, the original system load distribution pattern will be changed, dispatching allocation of power generation units in power generation side will be changed, and coal consumption level of power generation will also vary. Considering above relationship between system load and coal consumption, demand response analysis model about TOU price in power demand side and unit commitment model of energy-saving generation dispatching in power generation side are established. To realize the impact transfer of TOU price to unit coal consumption, integrated optimization model of power generation side and power demand side is constructed, with objective function of minimizing the coal consumption of unit operation, start-up and shut-down. Finally, the energy saving benefit of the optimization model is showed by a case study, and the simulation analysis using general algebraic modeling system(GAMS)shows that TOU price optimization will help to improve the effect of energy-saving dispatching in power generation side and realize certain environmental benefit.

Key words: energy-saving generation dispatching, time-of-use price, unit commitment, joint optimization

中图分类号:

F407.61

谭忠富, 宋艺航, 李效臻, 张会娟, 安建强. 基于峰谷分时电价机制的节能发电调度优化模型[J]. 运筹与管理, 2014, 23(1): 101-107.

TAN Zhong-fu, SONG Yi-hang, LI Xiao-zhen, ZHANG Hui-juan, AN Jian-qiang. Energy-Saving Generation Dispatching Optimization Model Based on Time-of-Use Price Mechanism[J]. Operations Research and Management Science, 2014, 23(1): 101-107.

参考文献

[1] BP集团.BP世界能源统计年鉴2012[M/OL].[2012-08-25]. http://www.bp.com/productlanding.do?categoryId=9025442 &contentId=7047113.
[2] 国务院办公厅.国办发[2007]53号文件:国务院办公厅关于转发发展改革委等部门节能发电调度办法(试行)的通知[EB/OL]. [2012-03-25]. http://www.sdpc.gov.cn/zcfb/zcfbqt/2007qita/t20070828_156042.htm.
[3] Chandrasekaran K, Hemamalini S, Simon S P, Padhy N P. Thermal unit commitment using binary/real coded artificial bee colony algorithm[J]. Electric Power Systems Research, 2012, 84(1): 109-119.
[4] Lopez J A, Ceciliano-Meza J L, Moya I G, Gomez R N. A MIQCP formulation to solve the unit commitment problem for large-scale power systems[J]. Electrical Power and Energy Systems, 2012, 36(1): 68-75.
[5] Hadji M M; Vahidi B. A solution to the unit commitment problem using imperialistic competition algorithm[J]. IEEE Transactions on Power Systems, 2012, 27(1): 117-124.
[6] Gaing Z L, Lin G N. Unit commitment with security assessment using chaotic PSO algorithm[J]. Journal of Circuits Systems and Computers, 2011, 20(7): 1357-1376.
[7] 娄素华,余欣梅,熊信艮,吴耀武.电力系统机组启停优化问题的改进DPSO算法[J].中国电机工程学报,2005,25(8):30-35.
[8] 黎静华,韦化.节能发电调度计划多Agent制定系统[J].电网技术,2011,35(5):90-96.
[9] 张舒,胡泽春,宋永华,姚良忠,李灿.基于网损因子迭代的安全约束机组组合算法[J].中国电机工程学报,2012,32(7):76-82.
[10] 尚金成.节能发电调度的经济补偿机制研究(一)基于行政手段的经济补偿机制设计与分析[J].电力系统自动化,2009,33(2):44-48.
[11] 尚金成.节能发电调度的经济补偿机制研究(二)基于市场机制的经济补偿机制设计与分析[J].电力系统自动化,2009,33(3):46-50.
[12] Massimo F. Short-and long-run time-of-use price elasticities in swiss residential electricity demand[J]. Energy Policy, 2011, 39(10): 5811-5817.
[13] 刘健,王双虎,明正峰.需求侧负荷管理中最优错峰计划的生成[J].电力系统自动化,2006,30(8):47-51.
[14] 谭忠富,谢品杰,王绵斌,张蓉,乞建勋.提高电能使用效率的可中断电价与峰谷分时电价的联合优化设计[J].电工技术学报,2009,24(5):161-168.
[15] 谭忠富,于超,姜海洋.用户端峰谷分时电价对发电端节煤影响分析模型[J].系统工程理论与实践,2009,29(10):94-101.
[16] 谭忠富,王绵斌,张蓉,乞建勋,王成文.发电侧与供电侧峰谷分时电价联动的分级优化模型[J].电力系统自动化,2007,31(21):26-34.
[17] 谭忠富,陈广娟,赵建保,侯建朝,姜海洋.以节能调度为导向的发电侧与售电侧峰谷分时电价联合优化模型[J].中国电机工程学报,2009,29(1):55-62.
[18] 丁伟,袁家海,胡兆光.基于用户价格向应和满意度的峰谷分时电价决策模型[J].电力系统自动化,2005,29(20):10-14.
[19] Roos J G, Lane I E. Industrial power demand response analysis for one-part real-time pricing[J]. IEEE Trans. on Power Systems, 1998, 13(1): 159-164.
[20] 李俊峰,施鹏飞,高虎.中国风电发展报告2010[M].海口:海南出版社,2010.87-88.