Structure optimization of power system with different redundant elements

Abstract The problem of optimization of the structure of a power system where redundant elements are included in order to provide a desired level of reliability is considered. The elements of the system are characterized by their capacity, availability and cost. A procedure which determines the minimal cost series-parallel system configuration is proposed which allows elements with different parameters to be allocated in parallel. In this procedure, system elements are chosen from a list of products available on the market. System reliability is defined as the ability to satisfy consumer demand which is represented as a piecewise cumulative load curve. To evaluate system reliability, a universal generating function technique is applied. A genetic algorithm (GA) is used as an optimization technique. Basic GA procedures adapted to the given problem are presented, and different versions of the GA are compared to determine the most effective one. An example of the optimal structure determination and optimal extension of a power station coal transportation system are presented.