Unit commitment method for electric-thermal integrated energy system based on interior point ppendes decomposition

Abstract

The present application relates to the technical field of integrated energy system optimization scheduling, and discloses a method for unit commitment of an integrated electricity-heat system based on an interior point Benders decomposition, which comprises the following steps: firstly, a mixed integer linear programming model is constructed, and decision variables such as power unit start-stop / scheduling, heat system output and heat supply network temperature are determined, so as to minimize the total operation cost of the system, integrate multiple constraint conditions, and use the method of characteristics to analyze the partial differential equation of pipe temperature conduction, thereby improving the accuracy of dynamic temperature description; and secondly, the model is solved by combining the improved Benders decomposition algorithm of the interior point method, so as to realize parallel solving of the main problem and the sub-problem. Through simulation verification of an IEEE standard system, the method can realize collaborative optimization scheduling of the electricity-heat system, adapt to wind power uncertainty, ensure the stability of the system, reduce the operation cost and improve the energy utilization efficiency.

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