Published March 2005 | Version v1
Journal article

Generating unit maintenance scheduling under competitive market environments

  • 1. Pusan National Univ. (Korea, Republic of). Dept. of Electrical and Communication Engineering
  • 2. Konkuk Univ., Seoul (Korea, Republic of). Dept. of Electrical Engineering
  • 3. Seoul National Univ., Seoul (Korea, Republic of). Dept. of Electrical Engineering
  • 4. HongIlk Univ., Seoul (Korea, Republic of). Dept. of Electrical Engineering

Description

A novel approach to a generating unit maintenance scheduling problem in competitive electricity markets is presented in this paper. The objective is to develop a game-theoretic framework for analyzing strategic behaviors of generating companies (Gencos) from the standpoint of the generating unit maintenance scheduling (GMS) game and for obtaining the equilibrium solution for the GMS game. The GMS problem is formulated as a dynamic non-cooperative game with complete information. The players correspond to profit maximizing individual Gencos, and the payoff of each player is defined as the profits from the energy market. The optimal schedule is defined by Nash equilibrium (equilibriums) of the game. Numerical results for two-Genco system are used to demonstrate that the proposed framework can be successfully applied to analyzing the strategic behaviors of each Genco and to obtaining the corresponding Nash equilibrium. The result indicates that generating unit maintenance schedule is one of the major strategic behaviors whereby Genco maximize their profits in a competitive market environment. (author)

Additional details

Publishing Information

Journal Title
International Journal of Electrical Power and Energy Systems
Journal Volume
27
Journal Issue
3
Journal Page Range
p. 189-194
ISSN
0142-0615
CODEN
IEPSDC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
United Kingdom
INIS RN
36029737
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COMPETITION; ELECTRIC POWER; MAINTENANCE; MARKET; NUMERICAL ANALYSIS; POWER GENERATION; SCHEDULES
Descriptors DEC
MATHEMATICS; POWER