考虑大用户直购电的动态环境经济调度

Abstract
Figure/Table
References
Related Citation (4)

Download: PDF (302 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Dynamic emission economic dispatch (DEED) is the key optimization scheme of generation system in order to meet the generator ramping rate constraints during the entire dispatch periods based on emission economic dispatch. It is very important to solve the DEED problem efficiently. Furthermore, it is valuable to study how the large consumers direct purchasing strategy influences the dispatch of electrical power system. Therefore, the DEED model considering large consumers direct purchasing was established firstly. Then the constraint processing strategy of multi-objective bacterial colony chemotaxis (MOBCC) algorithm was improved by interior-point method. Finally, the way that large consumers direct purchasing impacts on the economic dispatch was discussed. The simulation results verify the proposed method. It is shown that the method is instructive for the large consumers direct power purchasing strategy.

Key words： Dynamic economic emission dispatch bacterial colony chemotaxis algorithm large consumers direct purchasing energy saving and emission reduction

Received: 17 September 2014 Published: 13 October 2016

PACS:

TM73

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Feng Tao
	Lu Zhigang
	Li Xueping
	Wang Huijing
	Sun Yu

Cite this article:

Feng Tao,Lu Zhigang,Li Xueping等. Dynamic Emission Economic Dispatch Considering Large Consumers Direct Purchasing[J]. Transactions of China Electrotechnical Society, 2016, 31(18): 151-159.

URL:

https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I18/151

[1] 魏一鸣, 等. 2008中国能源报告: 碳排放研究[M]. 北京: 科学出版社, 2008.
[2] http://www.cpnn.com.cn/cpnn_zt/hg2009/ndhgwz/ 201001/t20100115_303681.htm
[3] Gong D W, Zhang Y, Qi C H L. Environmental/ economic power dispatch using a hybrid multi- objective optimization algorithm[J]. International Journal of Electrical Power and Energy Systems, 2010, 32(6): 607-614.
[4] Abido M A. Environmental/economic power dispatch using multi-objective evolutionary algorithms[J]. IEEE Transactions on Power Systems, 2003, 18(4): 1529-1537.
[5] Yalcinoz T O. A multi-objective optimization method to environmental economic dispatch[J]. International Journal of Electrical Power and Energy Systems, 2007, 29(1): 42-50.
[6] Wang K P, Yuryevich J. Evolutionary-programming- based algorithm for environmentally-constrained economic dispatch[J]. IEEE Transactions on Power Systems, 1998, 13(2): 301-306.
[7] Ramanathan R. Emission constrained economic dispatch[J]. IEEE Transactions on Power Systems, 1994, 9(4):1994-2000.
[8] 喻洁, 黄学良, 夏安邦. 基于分区协调优化的环境经济调度策略[J]. 电工技术学报, 2010, 25(1): 129-136. Yu Jie, Huang Xueliang, Xia Anbang. Environmental economic dispatch based on sub-area coordinated optimization[J]. Transactions of China Electro- technical Society, 2010, 25(1):129-136.
[9] 杨柳青, 林舜江, 刘明波, 等. 考虑风电接入的大型电力系统多目标动态优化调度[J]. 电工技术学报, 2014, 29(10): 286-295.
Yang Liuqing, Lin Shunjiang, Liu Mingbo, et al. Multi-objective dynamic optimal dispatch for large- scale power system considering wind power penetr- ation[J]. Transactions of China Electrotechnical Society, 2014, 29(10): 286-295.
[10] 陈珍, 胡志坚. 基于PSO-BBO混合优化算法的动态经济调度问题[J]. 电力系统保护与控制, 2014, 42(18): 44-49.
Chen Zhen, Hu Zhijian. A modified hybrid PSO-BBO algorithm for dynamic economic dispatch[J]. Power System Protection and Control, 2014, 42(18): 44-49.
[11] 赵媛媛, 艾芊, 余志文, 等. 考虑多种因素评估的微电网优化调度[J]. 电力系统保护与控制, 2014, 42(23): 23-30.
Zhao Yuanyuan, Ai Qian,Yu Zhiwen,et al. A microgrid optimal scheduling considering the assessment of various factors[J]. Power System Protection and Control, 2014, 42(23): 23-30.
[12] 谭忠富, 董力通, 刘文彦, 等. 发电机组污染排放约束下电量互换合作博弈优化模型[J]. 电工技术学报, 2012, 27(5): 245-251.
Tan Zhongfu, Dong Litong, Liu Wenyan, et al. A cooperation game optimization model for energy generating interchange between power generation units with environmental emission constraints[J]. Transactions of China Electrotechnical Society, 2012, 27(5): 245-251.
[13] 周斌, 宋艳, 李金茗, 等. 基于多群组均衡协同搜索的多目标优化发电调度[J]. 电工技术学报, 2015, 30(27):181-189.
Zhou Bin, Song Yan, Li Jinming, et al. Multiobjective optimal generation dispatch using equilibria-based multi-group synergistic searching algorithm[J]. Transactions of China Electrotechnical Society, 2015, 30(27): 181-189.
[14] 陈功贵, 陈金富. 含风电场电力系统环境经济动态调度建模与算法[J]. 中国电机工程学报, 2013, 33(10): 27-35.
Chen Gonggui, Chen Jinfu. Environmental/economic dynamic dispatch modeling and method for power systems integrating wind farms[J]. Proceedings of the CSEE, 2013, 33(10): 27-35.
[15] Abido M A. Multiobjective particle swarm optimization for environmental/economic dispatch problem[J]. Electric Power Systems Research, 2009, 79(7): 1105-1113.
[16] 侯贸军, 罗春辉, 隗霖捷, 等. 基于微分进化算法的水火电短期优化调度的研究[J]. 电力系统保护与控制, 2015, 43(9): 54-61.
Hou Maojun, Luo Chunhui, Wei Linjie, et al. Study on short-term hydrothermal scheduling based on differential evolution[J]. Power System Protection and Control, 2015, 43(9): 54-61.
[17] 刘静, 罗先觉. 采用多目标随机黑洞粒子群优化算法的环境经济发电调度[J]. 中国电机工程学报, 2010, 30(34): 105-111.
Liu Jing, Luo Xianjue. Environmental economic dispatching adopting multiobjective random black- hole particle swarm optimization algorithm[J]. Pro- ceedings of the CSEE, 2010, 30(34): 105-111.
[18] Vahidinasab V, Jadid S. Joint economic and emission dispatch in energy markets: a multiobjective mathe- matical programming approach[J]. Energy, 2010, 35(3): 1497-1504.
[19] 夏清, 白杨, 钟海旺, 等. 中国推广大用户直购电交易的制度设计与建设[J]. 电力系统自动化, 2013, 37(20): 1-7.
Xia Qing, Bai Yang, Zhong Haiwang, et al. Insti- tutional design and suggestions for promotion of direct electricity purchase by large consumers in China[J]. Automation of Electric Power Systems, 2013, 37(20): 1-7.
[20] 谷云东, 张素杰, 冯君淑. 大用户电力负荷的多模型模糊综合预测[J]. 电工技术学报, 2015, 30(23): 110-115.
Gu Yundong, Zhang Sujie, Feng Junshu. Multi-model fuzzy synthesis forecasting of electric power loads for larger consummers[J]. Transactions of China Electrotechnical Society, 2015, 30(23): 110-115.
[21] 王雁凌, 刘诗宁. 基于等利润率变化率的大用户直接交易合同电价模型[J]. 电网技术, 2013, 37(8): 2322-2327.
Wang Yanling, Liu Shining. Electricity price model of direct transaction contract for large power consumers based on equivalent change rate of profit margin[J]. Power System Technology, 2013, 37(8): 2322-2327.
[22] 郑雅楠, 李庚银, 周明. 大用户模糊优化购电组合策略的研究[J]. 中国电机工程学报, 2010, 30(10): 98-104.
Zheng Ya’nan, Li Gengyin, Zhou Ming. Studies of electricity procurement strategy for large consumers based on fuzzy optimization[J]. Proceedings of the CSEE, 2010, 30(10): 98-104.
[23] 张宗益, 亢娅丽, 郭兴磊. 基于谱风险度量的大用户直购电组合模型分析[J]. 电工技术学报, 2013, 28(1): 266-270.
Zhang Zongyi, Kang Yali, Guo Xinglei. Model analysis of large consumers' power purchase portfolio based on spectral measuers of risk[J]. Transactions of China Electrotechnical Society, 2013, 28(1): 266- 270.
[24] 王漪, 于继来. 基于让利和索利价格排序的大用户直购电集中撮合交易方法[J]. 电网技术, 2009, 33(16): 81-86.
Wang Yi, Yu Jilai. Multilateral matchmaking transaction method for direct power purchase of large consumers based on ranking of undercut prices to selling offers and buying offers[J]. Power System Technology, 2009, 33(16): 81-86.
[25] 周明, 郑雅楠, 李庚银, 等. 考虑分时电价和电能质量的大用户转运费用固定成本的综合分摊方法[J]. 中国电机工程学报, 2008, 28(19): 125-130.
Zhou Ming, Zheng Ya’nan, Li Gengyin, et al. Synthetical method for allocating wheeling fixed cost for large consumers considering time-of-use pricing and power quality[J]. Proceedings of the CSEE, 2008, 28(19):125-130.
[26] Bremermann H J. Chemotaxis and optimization[J]. Journal of the Franklin Institute, 1974, 297(5): 397- 404.
[27] Bremermann H J, Anderson R W. “How the brain adjusts synapses-maybe”. In automated reasoning[C]// Essays in Honor of Woody Bledsoe, MA: Kluwer, 1991.
[28] Anderson R W. “Random-walk learning: a neurobiological correlate to trial-and-error”. In: J. Dayhoff[C]//Process in Neural Networks, New York, Academic, 1993: 221-244.
[29] Müller S, Airaghi S, Marchetto J. Optimization based on bacterial chemotaxis[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(1): 16-29.
[30] 李威武, 王慧, 邹志君, 等. 基于细菌群体趋药性的函数优化方法[J]. 电路与系统学报, 2005, 10(1): 58-63.
Li Weiwu, Wang Hui, Zou Zhijun, et al. Function optimization method based on bacterial colony chemotaxis[J]. Journal of Circuits and Systems, 2005, 10(1): 58-63.
[31] 朱泽磊, 周京阳, 潘毅, 等. 考虑电力电量平衡的安全约束经济调度[J]. 中国电机工程学报, 2013, 33(10):168-176.
Zhu Zelei, Zhou Jingyang, Pan Yi, et al. Security constrained economic dispatch considering balance of electric power and energy[J]. Proceedings of the CSEE, 2013, 33(10): 168-176.
[32] Lu Z, Feng T, Li X P. Low-carbon emission/ economic power dispatch using the multi-objective bacterial colony chemotaxis optimization algorithm considering carbon capture power plant[J]. Inter- national Journal of Electrical Power and Energy Systems, 2013, 53(1): 106-112.