Optimization of low carbon economy of integrated energy system of CCHP with wind and solar storage
To confront the energy crisis,China has been making great efforts to develop an integrated energy system in the hope of achieving multi-energy coordination and mutual aids,and achieving energy conservation and carbon reduction.This paper mainly studies the multi-objective optimization scheduling problem of a combined cooling,heating,and power system that takes into account the wind and solar energy storage.First,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 built.Then,an enhanced non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)is proposed,which improves the efficiency and accuracy of the algorithm by introducing dominance strength and variance factors.Finally,a simulation analysis is conducted on a running cogeneration system in a certain area of western Liaoning Province to verify the effectiveness of the model and method proposed in this paper.
combined cooling,heating and power supplymulti-objective optimizationrenewable energyevolutionary algorithmintegrated energy system
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