Collaborative optimal scheduling of renewable energy systems based on improved MOEA/D algorithm
Microgrid with renewable energy system has high economy and environmental protection,and requires system load to be flexible and controllable,that is,resources can be coordinated for scheduling operation.Therefore,a collaborative optimal scheduling method for renewable energy system based on improved MOEA/D algorithm is proposed.Build key power generation models in renewable energy systems,including photovoltaic array model,wind power generation model and energy storage battery model.With the lowest energy consumption as the goal,build the system′s collaborative optimal scheduling function,obtain the functional constraints of electric power and thermal power balance,and use the improved MOEA/D algorithm to solve the optimal solution of the function to achieve the collaborative optimal scheduling of renewable energy systems.The experimental results show that the proposed method has good SOC value control constraint ability,and the SOC value control result is the closest to the ideal state.Under the environmental optimization criterion,the system scheduling energy consumption is low,and the 24-hour energy consumption power is 0.6 kW.
MOEA/D algorithmphotovoltaic power generationincluding renewable energy systemcollaborative optimal schedulingpower consumption
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