On Optimization for Security and Reliability of Power Systems with Distributed Generation
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Electricity market restructuring and supra-national agreements on the reduction of global greenhouse gas emissions have paved the way for an increase in the use of distributed gen-eration - the connection of generation to the lower voltage power system. This paper formulates and discusses a methodology for the optimal siting and sizing of distributed generation a security con-strained system can accept Optimal siting is determined by sensi-tivity analysis of the power flow equations. The sizing method for a set of loading conditions, generation penetration level and power factor is formulated as a security constrained optimization prob-lem. The information on optimal generation sites is used further to optimize system reliability assessed via reliability indices calcula-tion. A genetic algorithm is designed to solve for optimal recloser positions when distributed generators are deployed in a securely optimal manner. 2003 IEEE.
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2003 IEEE Bologna Power Tech Conference Proceedings,