Abstract
The integrated energy system is a vital part of distributed energy industries. In addition to this, the optimal economic dispatch model, which takes into account the complementary coordination of multienergy, is an important research topic. Considering the constraints of power balance, energy supply equipment, and energy storage equipment, a basic model of optimal economic dispatch of an integrated energy system is established. On this basis, a multiobjective function solving algorithm of NSGA-II, based on tent map chaos optimization, is proposed. The proposed model and algorithm are applied. The simulation results show that the optimal economic scheduling model of the integrated energy system established in this paper can provide a more economic system operation scheme and reduce the operation cost and risks associated with an integrated energy system. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) multiobjective function solving algorithm, based on tent map chaos optimization, has better performance and efficiency.
Highlights
With the increasing demand for energy, the integrated energy system, as a key component of the energy internet, can form a unified and efficient energy management platform that includes power networks, thermal networks, and natural gas networks [1,2,3]
The simulation results show that the optimal economic scheduling model of the integrated energy system established in this paper can provide a more economic system operation scheme and reduce the operation cost and risks associated with an integrated energy system
As one of the key technical problems, the optimal economic dispatch model of the integrated energy system has been researched in many studies
Summary
With the increasing demand for energy, the integrated energy system, as a key component of the energy internet, can form a unified and efficient energy management platform that includes power networks, thermal networks, and natural gas networks [1,2,3]. Lin Wei et al [12] solved the mixed power flow algorithm of the regional integrated energy system through multiobjective optimization, and obtained the optimized operation plan of the system. Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) multiobjective function solving algorithm based on tent map chaos optimization to design the solving process for the economic dispatch model of an integrated energy system. Aiming at the multienergy complementary coordination characteristics in the optimization of economic dispatch of an integrated energy system, the optimal economic dispatch model of an integrated energy system is established in this study On this basis, the objective function is solved by using the tent map chaotic optimization NSGA-II algorithm. The algorithm is used to verify the effectiveness of the model and the tent map chaos optimization NSGA-II algorithm
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