Cultured differential computation algorithm for optimal contracted capacity of power consumer with self-owned generating units

Hong-Tzer Yang, Pai Chun Peng, Shr Ching Guo

研究成果: Conference contribution

摘要

Contracted capacity setting is a discrete and nonlinear optimization problem in consideration of expenditure on the electricity from the utility and cost of the self-owned generating units (SOGUs) at the same time. This paper proposes the cultured differential computation algorithm (CDCA) to solve this problem. The cultural algorithm (CA) used in the CDCA extracts and saves the domain knowledge or problem properties during the evolution process. The differential computation of the CDCA provides fast converging characteristics in searching the optimal solution through operations of mutation, crossover, and selection operations which are efficient and different from the existing generic algorithm (GA). To verify feasibility of the proposed method, the paper employs the real data obtained from a large optoelectronics factory in Taiwan. In comparison with the existing optimization methods, the proposed CDCA approach has superior results as revealed in the numerical results in terms of the computation time needed and the quality of solution obtained.

原文English
主出版物標題16th Power Systems Computation Conference, PSCC 2008
發行者Power Systems Computation Conference ( PSCC )
ISBN(電子)9780947649289
出版狀態Published - 2008
事件16th Power Systems Computation Conference, PSCC 2008 - Glasgow, United Kingdom
持續時間: 2008 七月 142008 七月 18

Other

Other16th Power Systems Computation Conference, PSCC 2008
國家/地區United Kingdom
城市Glasgow
期間08-07-1408-07-18

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 電腦科學應用
  • 能源工程與電力技術
  • 電氣與電子工程

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