Coordination of different DGs, BESS and demand response for multi-objective optimization of distribution network with special reference to Indian power sector

In this study, coordination of multiple distributed energy resources (DERs) is investigated to address the techno-economic aspects of distribution network operation. This paper essentially aims to find optimal dispatches of battery energy storage systems (BESSs) in coordination with demand response (DR) in the presence of stochastic wind generation and shunt capacitor to minimize distribution power loss and grid demand cost. A multi-objective problem is formulated to simultaneously minimize power loss and grid demand cost in coordination with a time of use based DR program while maintaining node voltage deviation within limits. Moreover, the effect of uncertainty associated with wind power generation is also modeled to analyze the considered multi-objective problem in a more practical way. To solve this complex optimization problem, the non-sorted genetic algorithm (NSGA-II) with the technique for order of preference by similarity to ideal solution (TOPSIS) is adopted. TOPSIS is used to select the most compromising solution from the Pareto optimal front of NSGA-II. For validation of proposed strategy, the DER coordinated operational problem is tested on benchmark 33-bus and practical 108-bus Indian radial distribution network.