Volume 27: Closing Carbon Cycles – A Transformation Process Involving Technology, Economy, and Society: Part II

Optimal Scheduling of Integrated Energy System Based on Model Predictive Control Yuhang Sun, Minglei Bao, Maosheng Sang

Abstract

In order to realize the renewable energy consumption and multi-energy coupling, it is necessary to study the optimal dispatching strategy of the integrated energy system. This paper aims to minimize the total operating cost of the integrated energy system, considers the randomness of distributed energy and the uncertainty of load, and adopts the method of model predictive control to conduct research. The main work is as follows: A typical cogeneration microgrid is given. The basic structure and energy flow relationship are established, and the mathematical model of each part of the integrated energy system is established. The optimal scheduling and control strategy of integrated energy system based on model predictive control is introduced, and the objective function and constraints of this paper are given. Finally, taking the winter integrated energy system of a district with distributed energy as an example, the effectiveness of the model predictive control method is verified by the comparison of different operation modes.

Keywords Model predictive control, integrated energy systems, economic optimization, renewable energy generation, energy storage