Planning of renewable DGs for distribution network considering load model: a multi-objective approach

Renewable distributed generation (DG) has become one of the key drivers of fast changing energy scenario around the world. A clear strategy is ardently essential to accelerate growth of grid interactive renewable DGs. This paper proposes a constrained multi objective particle swarm optimization based planning of renewable DGs for distribution network. The proposed method tries to find the best trade-off between benefit to economic ratio, voltage stability factor and network security index and then generate optimal location, types and size of renewable DGs for distribution network. Effectiveness of the proposed methodology is shown on a typical 28-bus Indian distribution network. Test results depict that proper selection of locations, types and sizes of DGs would be helpful to maximize economical benefit, improve security and enhance voltage stability of the distribution network. The study also illustrates the effect of load modelling in planning of renewable DGs for distribution network. (c) 2014 Partha Kayal. Published by Elsevier Ltd.