کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
993461 936035 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Evaluating the efficiency of divestiture policy in promoting competitiveness using an analytical method and agent-based computational economics
چکیده انگلیسی

Choosing a desired policy for divestiture of dominant firms’ generation assets has been a challenging task and open question for regulatory authority. To deal with this problem, in this paper, an analytical method and agent-based computational economics (ACE) approach are used for ex-ante analysis of divestiture policy in reducing market power. The analytical method is applied to solve a designed concentration boundary problem, even for situations where the cost data of generators are unknown. The concentration boundary problem is the problem of minimizing or maximizing market concentration subject to operation constraints of the electricity market. It is proved here that the market concentration corresponding to operation condition is certainly viable in an interval calculated by the analytical method. For situations where the cost function of generators is available, the ACE is used to model the electricity market. In ACE, each power producer’s profit-maximization problem is solved by the computational approach of Q-learning. The power producer using the Q-learning method learns from past experiences to implicitly identify the market power, and find desired response in competing with the rivals. Both methods are applied in a multi-area power system and effects of different divestiture policies on market behavior are analyzed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Policy - Volume 38, Issue 3, March 2010, Pages 1588–1595
نویسندگان
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