Genetic Algorithm Based Economic Optimization of Microgrid Including Multi-Energy Supply System

Zhao, Shujian; Ma, Chenglian; Sun, Li; Meng, Yuanzhu; Wu, W.; Huang, Luheng

doi:10.1088/1742-6596/1072/1/012017

Cited by 3 publications

(1 citation statement)

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“…Microgrid contains a lot of distributed power supply, which includes the wind turbine, photovoltaic power genera-tion unit, the micro gas turbine unit, storage device. In order to make the economy better, the distributed power generation costs, the battery loss of the work efficiency due to often the depth using, the corresponding equipment operation mainten -ance cost and purchase and sale electricity price were consi-dered from the large power grid in this study [2].The objective function optimization of economic operation of microgrid is as follows: is cost for the first distributed power generation equipment operation and maintenance; C(P) is the total power generation cost of the system.…”

Section: Objective Functionmentioning

confidence: 99%

Economic Optimization Operation Analysis of Microgrid Based on Improved Particle Swarm Optimization

Ling¹,

Li²,

Feng³

et al. 2019

Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

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In view of the problem of optimal operation of microgrid system, a mathematical model of economic optimal dispatch of microgrid was established in this paper, aiming at the lowest cost of generating electricity of distributed generation, operation and maintenance of corresponding equipment, and the lowest price of purchasing and selling electricity from large power grid. And the three kinds of operation scheduling under different weather conditions (normal, cloudy, sunny) were analyzed respectively. Finally, improved particle swarm optimization (iPSO) algorithm was improved to optimize the scheduling under the constraints of not only load requirements, but also generation and output constraints, energy storage unit operation constraints and interactive energy with large power grids.The results show that the proposed control strategy can effectively achieve the optimal power distribution of microgrid and minimize the operation cost.  , 2  , 3  are the weight ratios of cost, pollution gas penalty cost and operation and

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Section: Objective Functionmentioning

confidence: 99%