Comprehensive optimal allocation of intermittent distributed generation considering reactive power compensation

The output power of intermittent distributed generation (DG) such as distributed wind generation (DWG) and photovoltaic (PV) is random and the load is uncertain. Aiming at the investment expenses of intermittent DG and compensation capacitor, income of electricity sale, reduction of system power loss, voltage quality and emission reductions, the optimal configuration models of intermittent DG and capacitor were built using chance constrained programming method. Genetic algorithm was chosen for the optimal solution. The simulation results show that the comprehensively optimized allocation model has improved expected value of node voltage and the probability within normal range. The comprehensive optimization of economic benefit, environ-mental benefit and voltage quality were achieved, and the rationality and availability of the proposed model is verified. © 2012 Chin. Soc. for Elec. Eng.