Abstract

Operation optimization of integrated energy systems(IES) is an important solution to improve the economy and environmental friendliness of system operation. The operation optimization problem is generally divided into two parts: system modeling and optimization solution. The accuracy of the model constructed in the system has a great impact on the operation optimization strategy. Therefore, it is important to verify the accuracy of the modeling and the feasibility of the optimization strategy. This paper introduces in-loop simulation into the optimization solution algorithm and build a physical environment, iteratively update the linear model of in-loop equipment and operation strategy, to obtain an operation optimization strategy that can be directly used in real integrated energy system scheduling.

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