Optimal Planning of Distributed Generation using Hybrid Metaheuristic Approach

RES based DGs have gained popularity due to depletion of fossil reserves, increase demand (i.e. industrial growth, urbanization etc.). DG comprises of low generating capacity units installed near load dispatch centers. To provide the necessary active power RESs are also employed for providing reactive power support but it greatly varies with the type of DG units. That is why DGs are characterized in four major types based on real & imaginary power delivery capability. Installing an appropriate capacity at the most suitable bus is a nonlinear & nonconvex optimization problem. When optimally sited & sized RES minimize Preal loss & also improve voltage profile of the network. This artificial process hybrid of Particle Swarm Optimization (PSO) algorithm and Grey Wolf Optimization (GWO) algorithm for optimum allocating and sizing of Type-1 & Type- 2 DGs. This hybrid approach is applied and tested on IEEE 33 & IEEE 69 bus to achieve power loss minimization.