AN INTEGRATED ANT COLONY OPTIMIZATION APPROACH TO COMPARE STRATEGIES OF CLEARING MARKET IN ELECTRICITY MARKETS: AGENT-BASED SIMULATION
作者： A. Azadeh , M.R. Skandari , B. Maleki-Shoja
DOI: 10.1016/J.ENPOL.2010.06.022
关键词: Agent-based computational economics 、 Microeconomics 、 Economics 、 Volatility (finance) 、 Clearing 、 Electricity market 、 Mathematical optimization 、 Bidding 、 Electricity 、 Ant colony optimization algorithms 、 Profit (economics)
摘要: In this paper, an innovative model of agent based simulation, on Ant Colony Optimization (ACO) algorithm is proposed in order to compare three available strategies clearing wholesale electricity markets, i.e. uniform, pay-as-bid, and generalized Vickrey rules. The supply side actors the power market are modeled as adaptive agents who learn how bid strategically optimize their profit through indirect interaction with other market. proper for bidding functions high number dimensions enables modelers avoid curse dimensionality dimension grows. Test systems then used study behavior each pricing rule under different degrees competition heterogeneity. Finally, rules comprehensively compared using economic criteria such average cleared price, efficiency allocation, price volatility. Also, principle component analysis (PCA) rank select best rule. To knowledge authors, first that uses ACO assessing
elsevier.com
sci-hub.se 参考文章(33)
Derek W Bunn, Fernando S Oliveira, Evaluating Individual Market Power in Electricity Markets via Agent-Based Simulation Annals of Operations Research. ,vol. 121, pp. 57- 77 ,(2003) , 10.1023/A:1023399017816
A. J. Bagnall, A multi-adaptive agent model of generator bidding in the UK market in electricity genetic and evolutionary computation conference. pp. 605- 612 ,(2000)
Christopher J. Day, Derek W. Bunn, Divestiture of Generation Assets in the Electricity Pool of England and Wales: A Computational Approach to Analyzing Market Power Journal of Regulatory Economics. ,vol. 19, pp. 123- 141 ,(2001) , 10.1023/A:1011141105371
M. Dorigo, Optimization, Learning and Natural Algorithms Ph.D. Thesis, Politecnico di Milano, Italy. ,(1992)
Poonsaeng Visudhiphan, Marija D. Ilic, An Agent-Based Approach to Modeling Electricity Spot Markets IFAC Proceedings Volumes. ,vol. 34, pp. 407- 412 ,(2001) , 10.1016/S1474-6670(17)33099-9
M. Birattari, T. Stutzle, M. Dorigo, Ant Colony Optimization ,(2004)
Zou Bin, Yan Maosong, Xie Xianya, The comparisons between pricing methods on pool-based electricity market using agent-based simulation ieee international conference on electric utility deregulation restructuring and power technologies. ,vol. 1, pp. 285- 289 ,(2004) , 10.1109/DRPT.2004.1338508
Thomas Stützle, Holger H. Hoos, – Ant System Future Generation Computer Systems. ,vol. 16, pp. 889- 914 ,(2000) , 10.1016/S0167-739X(00)00043-1
Jennie Si, Andrew G Barto, Warren B Powell, Don Wunsch, Handbook of Learning and Approximate Dynamic Programming (2004). ,(2004) , 10.1109/9780470544785
ATAKELTY HAILU, SOPHIE THOYER, Designing Multi-unit Multiple Bid Auctions: An Agent-based Computational Model of Uniform, Discriminatory and Generalised Vickrey Auctions Economic Record. ,vol. 83, pp. 57- 72 ,(2007) , 10.1111/J.1475-4932.2007.00410.X