Optimal power generation planning in the micro-grid with the aim of reducing power and pollution costs and considering uncertainty using genetic algorithm

A micro-grid usually consists of a set of distributed generation resources, a power storage system and loads that can be exploited in both grid-connected and island operations, The use of micro-grid can have many benefits for consumers and for power generator companies, from point of view of consumers micro-grid has the capability to simultaneously provide electricity and heat, increase reliability, reduce greenhouse gas emissions, and improve the quality of electricity and from point of view of companies The use of micro-grid will reduce the facility for the development of transmission lines and, in addition, will eliminate peak consumption points, which will also result in network losses reduction. Micro-grids can be a good solution for energy generation, considering the environmental and economic issues. In this paper, determining the economic power dispatch of a grid-connected micro-grid system by Stochastic programming is examined. The hybrid system studied consists of wind turbines, solar arrays, hydrogen fuel cells, combined heat and power storage units, the purpose is to minimize the cost of generating power and reduce the cost of environmental pollution using the genetic algorithm in the study period.

کلیدواژه ها:

Distributed Generation Resources ، Economic power dispatch ، Stochastic programming ، Hybrid system ، Genetic Algorithm