کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
382868 | 660794 | 2015 | 18 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: The ACEWEM framework: An integrated agent-based and statistical modelling laboratory for repeated power auctions The ACEWEM framework: An integrated agent-based and statistical modelling laboratory for repeated power auctions](/preview/png/382868.png)
• An agent-based model for power auction is proposed.
• A new stochastic decision algorithm is designed.
• We study the emergence of market power.
• Unexpected supply or demand shocks lead to emergence of strategic offers.
• Re-dispatch scheme results in higher market prices compared with the LMP scheme.
We propose a novel framework for experimental designs of liberalised wholesale power markets, namely the Agent-based Computational Economics of the Wholesale Electricity Market (ACEWEM) framework. Here, we describe a detailed market simulation whereby the strategies of power generators emerge as a result of a stochastic profit maximisation learning algorithm based upon the GAMLSS (Generalized Additive Models for Location Scale and Shape) statistical framework. The ACEWEM framework, which integrates the agent-based modelling paradigm with formal statistical methods to represent better real-world decision rules, is designed to be the foundation for large custom-purpose experimental studies inspired by computational learning. The paper therefore makes a methodological contribution in the development of an expert model of repeated auctions with capacity and physical constrains. It also makes an applied contribution by providing a more realistic basis for identifying whether high market prices can be ascribed to problems of market structure or exercise of market power.
Journal: Expert Systems with Applications - Volume 42, Issue 5, 1 April 2015, Pages 2731–2748