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Optimal Dispatching of Regional Integrated Energy System Based on SMPC

Along with the rapid development of energy internet, a regional integrated energy system consisting of wind turbine, photovoltaic, combined heat and power system, electric boiler, electrical energy storage and heat energy storage is widely used around the world. In order to deal with the uncertainty of renewable energy output and load demand, an optimal dispatching method of regional integrated energy system based on stochastic model predictive control (SMPC) is proposed in this paper. First, the uncertainty of renewable energy output and load demand at each time section is described with typical scenario sets via scenario analysis. Then, the minimum operating cost is taken as objective to establish the dynamic rolling optimal dispatching model of regional integrated energy system. The validity and feasibility of the method proposed in this paper are verified by simulation results.