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Abstract To solve the energy crisis, China has made great efforts to develop an integrated energy system to achieve multi-energy coordination, mutual aid, energy conservation, and carbon reduction. This article mainly studies the multi-objective optimization scheduling problem of a combined cooling, heating, and power system considering wind and solar energy storage. Firstly, from two different perspectives of economy and carbon emissions, an economic objective function and an environmental objective function are established, and a multi-objective optimization configuration model and corresponding constraint conditions for the combined cooling, heating, and power system considering wind and solar energy storage are constructed. Then, an enhanced non-dominated sorting genetic algorithm II (NSGA-II) is proposed, which enhances the efficiency and accuracy of the algorithm by introducing dominance strength and variance factors. Finally, a simulation analysis was conducted on a running cogeneration system in a certain area of western Liaoning to attest to the validity of the model and method proposed in this paper.
Zhao et al. (Sat,) studied this question.