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电网技术  2010 

协同粒子群算法在电力市场ACE仿真中的应用

, PP. 138-142

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Abstract:

将协同粒子群算法应用到智能代理报价中,通过电力市场仿真试验,对协同粒子群算法在仿真中的代理过程进行了分析;通过不同的成本变化和供需水平变化试验,分析了协同粒子群算法在代理报价中对成本因素和供需水平因素的响应水平;与Q-learning算法代理结果进行了比较,结果表明,协同粒子群算法应用到基于代理的计算经济学电力市场仿真中是可行的。

References

[1]  袁家海,丁伟,胡兆光.基于Agent的计算经济学及其在电力市场理论中的应用综述[J].电网技术,2005,29(7):47-51. Yuan Jiahai,Ding Wei,Hu Zhaoguang.A critical study of Agent based computational economics and its application in research of electricity market theory[J].Power System Technology,2005,29(7):47-51(in Chinese).
[2]  宋依群,吴炯.基于Q学习算法的发电公司决策新模型[J].上海交通大学学报,2006,40(4):568-573. Song Yiquan,Wu Jiong.A Q-learning algorithm based decision model for generation company[J].Journal of Shanghai Jiaotong University,2006,40(4):568-573(in Chinese).
[3]  张谦,俞集辉,张淮清,等.基于Agent的Web数据仓库技术在发电厂报价系统中的应用[J].电网技术,2006,30(8):50-55. Zhang Qian,Yu Jihui,Zhang Huaiqing,et al.Application of agent technology in Web based data warehouse within bidding decision system of power supplier[J].Power System Technology,2006,30(8):50-55(in Chinese).
[4]  陶芬,张步涵,杨超.考虑输电阻塞影响的发电商最优报价策略[J].电网技术,2007,31(16):12-16. Tao Fen,Zhang Buhan,Yang Chao.Optimal bidding strategy of power generation company considering transmission congestion[J].Power System Technology,2007,31(16):12-16(in Chinese).
[5]  Richter C W,Sheble G B,Ashlock D.Comprehensive bidding strategies with genetic programming/finite state automata[J].IEEE Trans on Power Systems,1999,14(4):1207-1212.
[6]  Cau T D H,Anderson E J.A co-evolutionary approach to modeling the behavior of participants in competitive electricity makets[C].Power Engineering Society Summer Meeting,Vancourer,BC,Canada,2002.
[7]  马豫超,蒋传文,候志俭,等.基于自加强学习算法的发电商报价策略研究[J].中国电机工程学报,2006,26(17):12-17. Ma Yuchao,Jiang Chuanwen,Hou Zhijian,et al.Strategic bidding of the electricity producers based on the reinforcement learning[J].Proceedings of the CSEE,2006,26(17):12-17(in Chinese).
[8]  Sun J,Tesfatsion L.Dynamic testing of wholesale power market designs:an open-source agent-based framework[J/OL].http://www. econ.iastate.edu/tesfatsi/DynTestAMES.JSLT.pdf,2007.
[9]  Sun J,Tesfatsion L.DC optimal power flow formulation and solution using quadprogj[J/OL].http://www.econ.iastate.edu/tesfatsi/DC-OPF. JSLT.pdf,2007.
[10]  陈皓勇.基于智能代理和实验经济学的电力市场仿真研究[J].华南理工大学学报:自然科学版,2004,43(5):923-925. Chen Haoyong.Research of the electricity market simulation based on intelligent agent and experimental economics[J].Journal of South China University of Technology:Natural Science Edition,2004,43(5):923-925(in Chinese).
[11]  曾建潮,介静,崔志华.微粒群算法[M].北京:科学出版社,2004:9-55.
[12]  李爱国.多粒子群协同优化算法[J].复旦大学学报:自然科学版,2004,43(5):923-925.
[13]  何佳,吴耀武,娄素华,等.基于微粒群优化算法的电力系统动态无功优化[J].电网技术,2007,31(2):47-51. He Jia,Wu Yaowu,Lou Suhua,et al.Dynamic reactive power optimization based on particle swarm optimization algorithm[J].Power System Technology,2007,31(2):47-51(in Chinese).
[14]  聂宏展,张冰冰,王新,等.基于改进粒子群优化算法的电力市场下的无功优化[J].电网技术,2007,31(21):85-90. Nie Hongzhan,Zhang Bingbing,Wang Xin,et al.Research on MPSO algorithm based reactive power optimization in electricity market[J].Power System Technology,2007,31(21):85-90(in Chinese).
[15]  袁晓辉,王乘,张勇传,等.粒子群优化算法在电力系统中的应用[J].电网技术,2004,28(19):14-19. Yuan Xiaohui,Wang Cheng,Zhang Yongchuan,et al.A survey on application of particle swarm optimization to electric power systems [J].Power System Technology,2004,28(19):14-19(in Chinese).

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