Multi-energy optimal dispatching based on multi-objective grey wolf algorithm

Xiangyu Lv; Yinping An; Jiarui Wang; Meiyue Li; Meng Li

doi:10.1117/12.2671517

29 March 2023 Multi-energy optimal dispatching based on multi-objective grey wolf algorithm

Xiangyu Lv, Yinping An, Jiarui Wang, Meiyue Li, Meng Li

Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 1259420 (2023) https://doi.org/10.1117/12.2671517
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China

Abstract

Aiming at the optimization problem of operation dispatching of multi-energy systems including cold, heat, electricity and gas, in order to achieve the goal of energy saving and emission reduction, a microgrid optimization model including micro-sources such as fans, micro gas turbines, waste heat boilers, lithium bromide absorption chillers, etc. is established with the microgrid operation cost and new energy utilization rate as the optimization objectives. The improved multi-objective grey wolf algorithm (MOGWO) is used to solve the multi-objective model, which effectively compensates for the disadvantage that the grey wolf algorithm is easy to fall into local optimum. The simulation analysis shows that the algorithm has good solution speed and global search performance, which provides an optimal dispatching strategy for multi-energy systems, realizes flexible mobilization of microgrid, and achieves the effects of reducing operating costs and low grid-connected volatility.

Citation Download Citation

Xiangyu Lv, Yinping An, Jiarui Wang, Meiyue Li, and Meng Li "Multi-energy optimal dispatching based on multi-objective grey wolf algorithm", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 1259420 (29 March 2023); https://doi.org/10.1117/12.2671517

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