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Keywords

regional integrated energy system, low carbon operation, economic operation, Markov decision process, Q learning

Abstract

Considering the economic and low-carbon performance of regional integrated energy systems, a method of low-carbon operation strategy of regional integrated energy systems based on the Q learning is proposed. Firstly, the basic operation model of such regional integrated energy system is constructed on the basis of the energy hub. Then, taking the minimum daily operating cost as the objective function, including the carbon dioxide treatment cost, a low-carbon economic operation strategy of regional integrated energy system is proposed. Then, the low-carbon economy operation strategy is modeled through the Markov decision problems, and the improved Q learning is utilized to solve thoseproblems. The simulation results verify the effectiveness of Q learning algorithm for solving operation strategies in the regional integrated energy system. It is shown that the proposed operation strategy can give full play to the multi-energy complementary advantage, and realize the economic and low-carbon objectives during operation of regional integrated energy system.

DOI

10.19781/j.issn.1673-9140.2022.02.014

First Page

106

Last Page

115

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