Economic Dispatch CCHP Micro Network

With energy demand growing wider, the environment is deteriorating. In the21st century, mankind faces a dilemma, on the one hand economy needs developing, on the other hand people react strongly to environmental degradation. Gas gradually becomes the third largest commercial energy after coal and oil. With the gradual decline in their costs, wind, solar and other clean energy have gradually spread to millions of households. The CCHP system powered with micro gas turbine provides cold, heat, electricity load, and achieves the ladder use of energy. As a micro-source, Micro-grid is involved in energy exchange.In this paper, the scheduling optimization of CCHP system and the scheduling optimization of micro-grid based on heating and power have been studied in the following.Firstly, micro-grid is introduced, including mathematical models of each micro-source in micro-grid and operating mode of micro-grid, etc.This paper proposes the economic dispatch model of CCHP system. In the case of allowing the micro gas turbine generating in the micro grid, the optimization model uses real-time price, and the coordination of the CCHP system and refrigeration and air conditionings are taken into account at the same time. Taking the lowest cost as the object function, we conduct a mathematical optimization model for the system. The paper takes one real micro-grid for the study, under the given conditions of energy prices and hot and cold electric load, through simulation example, we uses particle swarm optimization(PSO) to solve the model and compared with the distributed system.This paper takes the reliability index into account on the basis of the economic optimum, selects the power loss of users to measure the reliability index, and quantifies the reliability of micro-grid system with the power loss of users, takes the generation costs and power loss of users as the objective function, builds the economic dispatch model of accounting the multi-target micro-grid system, solves and optimizes mathematical model with the multi-objective particle swarm optimization, through the simulation of practical examples, proves the rationality of the model and feasibility of the algorithm.