Planning optimization for the photovoltaic/storage/network system considering photovoltaic consumption level and grid supporting capacity

In the power system planning, considering the division of clean power and power grid planning can easily result in high power redundancy and low level of power grid security. The clean energy consumption level and power grid supporting capacity should be considered to plan the photovoltaic (PV) /storage/network system. To address this issue, a multi-objective dual-layer collaborative planning model is proposed, which aims to plan the PV/storage/network system. For upper planning model, it is to minimize the cost of system investment. For lower operational model, the objectives are to minimize the operating costs, and maximize power grid supporting capacity and PV consumption level. The cloud particle swarm optimization is applied to search for the optimal planning solution with its powerful search capability at the end. The proposed scheme was demonstrated in the IEEE 14-bus system. The results show that our method can effectively make decisions to obtain the best planning solution.