Operation management of a hybrid renewable energy systems base on multiobjective optimal under uncertainties

As the increasing energy demand and rapid depletion of conventional fossil fuel resources, renewable energy has caused great attention of the public. And hybrid renewable energy system (HRES) is becoming increasingly popular both in theory and engineering due to their integration renewable energy ability. But the uncertainties of wind, solar and load demand make the reliability optimal operation of HRES a very challenging task. This paper established a multi-objective optimal model to deal with the reliability operation optimal of online hybrid system based on a stochastic scenarios simulation approach. The goal is to get the optimal operation strategy to achieve two objectives, economic and renewable power utilization, better below the uncertainty scenarios. To achieve this goal, we design a twolayer multi-scenarios structure to solve the system operate optimal of batteries' work mode and specific power flow in HRES. Considering the uncertainties, we use Monte Carlo simulation to generate various different scenarios. Then we get the multi-objectives solutions of each scenario. Through analyzing the distribution of optimal solutions, we obtain the robustness operation strategy. Finally, comparing with specific scenario's optimal strategy, our optimal solutions are demonstrated to have a better result.