Abstract
This paper has presented a methodology to solve the optimal substation capacity expansion problem for distribution system by using the genetic algorithm (GA). The S curve with different time constant is used to represent the load growth of each customer class for the load forecasting of each fence area. The load flow analysis is performed to find power demand of each fence area for annual system operation over the study period. The overall costs of power loss and substation investment are included in the objective function, and each feasible solution is expressed as a chromosome in the GA simulation process. The fitness is then enhanced by considering the diversity of chromosomes so that the global optimization during the solution process can be obtained. The proposed approach has been tested on Taipei Distribution System through the utility data. Test results demonstrated the feasibility and effectiveness of the method for the applications.
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