Optimal scheduling of DERs in a micro-grid by considering CO2 emissions trade

Abstract

The micro-grid technology provides an effective technical approach for the new energy and renewable energy to grid-connect; however, the micro-grid optimal operation is one of the most important and difficult studies. The implementation in CO2 Emissions Trade provides favorable conditions for micro-grid operating economically. In order to analyze the effects of CO2 Emissions Trade on grid-connected micro-grid, CO2 Emissions Trade is taken into account to build an optimal operation model of micro-grid. The modified Artificial Fish Swarm Algorithm (AFSA) has been issued to solve the model based on the target, the lowest totally economic cost. The results of the simulation on typical micro-grid show that the model is suitable to solve micro-grid parallel running, and more important, the CO2 Emissions Trade can significantly improve the economics of micro-grid.