Multiobjective nested optimization framework for simultaneous integration of multiple photovoltaic and battery energy storage systems in distribution networks

The rapid growth of renewables in modern distribution networks results the spilling energy due to limited hosting capacity these networks, violation system constraints, reduced network efficiency, and improper utilization resources. Battery storage (BESS), spite its high cost, a shorter life complex control, offers flexible solution for problem. In this paper, multiobjective nested optimization framework is developed simultaneous optimal allocation multiple solar photovoltaics (SPVs) BESSs networks. involves two-layered structure; outer layer provides tentative planning solutions inner that optimizes desired objectives operations then returns functional values back layer. purpose inner-layer satisfy operational constraints ensure BESS capacities, suggested by layer, at time itself. A new operating strategy proposed optimum BESS. problem handled suggesting weighted sum approach conjunction with recently swarm intelligence-based algorithm, i.e. moth search optimization. Overall, deterministic model essentially ensures penetration SPVs justify their installation. investigated on benchmark 33-bus test network. application highlight enhanced peak load shaving, renewable penetration, voltage profile improvement, mitigation reverse power flow while effectively absorbing excess generation during light hours.