Optimal Reactive Power Planning Considering Contingencies

摘要

A tool for optimal reactive power planning considering typical contingencies is presented in this paper. The paper proposes the use of multi-objective Genetic Algorithm (MGA) to tackle the full Reactive-power Compensation Planning (RCP) problem considering both intact and contingent operating states. The MGA is used to simultaneously solve both the siting problem - optimisation of the installation of new devices and the operational problem - optimisation of preventive transformer taps and the controller characteristics of dynamic compensation devices. The aim of which is to produce an optimal siting plan that does not violate any system or operational constraint and is optimal in terms of the voltage deviation from the ideal and the cost incurred through the installation and use of reactive power compensation devices. The effectiveness of the developed tool is tested on the IEEE 30-bus system and on a reduced practical system of National Grid.