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                                       Details for article 141 of 197 found articles
 
 
  Optimal Contract Capacities for Time-of-Use Rate Industrial Customers Using Stochastic Search Algorithms
 
 
Title: Optimal Contract Capacities for Time-of-Use Rate Industrial Customers Using Stochastic Search Algorithms
Author: Huang, Yann-Chang
Appeared in: Electric power components & systems
Paging: Volume 31 (2003) nr. 6 pages 579-591
Year: 2003-06
Contents: This paper presents two stochastic search algorithms for optimizing the contract capacities of time-of-use (TOU) rate industrial customers. The proposed genetic algorithm (GA) and evolutionary algorithm (EA) are used to search the optimal contract capacities for the TOU rate customers to minimize the summation of demand and penalty charges. Because of the global search capabilities of the GA and EA, the proposed algorithms can optimize the solutions of the complicated, nondifferentiable, optimal contract capacity problem. The proposed algorithms have been tested on a three-section TOU rate industrial customer of Taipower system and are compared with the existing method. The test results demonstrate that the proposed algorithms can efficiently optimize the contract capacities for TOU rate customers.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 141 of 197 found articles
 
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