Operation And Scheduling Optimization Of A Multi-energy Complementarv Combined Heat And Power System

Energy and environment system is closely related to human production,and nowadays,energy consume increasingly and environmental pollution becomes serious gradually.It’s time to transfer our energy consume from fossil energy to clean energy.Multi-energy complementary system can complement each advantages of different energies,thus improving the efficiency of the whole system.In this paper,a multi-objective optimization model is built for a multi-energy combined heat and power system,and the economic benefit and the pollution emission were two objective function of the model.The multi-energy system integrated coal and gas units at the same time,and an improved particle swarm optimization algorithm is used to get the Pareto solution of the multi-objective model.In addition,the method of integrating solar energy into coal fired power plant to improve its efficiency is also studied in this paper.The coal-gas combined heat and power system is divided into several modules reasonably based on the simultaneously modular method,and the mechanism model of each module is given in section 2.Compared to the traditional energy consumption curve method,the mechanism model can reflect not only the off-design condition of each unit,but also the relationship between subsystems.A simulation model is built by MATLAB/Simulink,and the model is verified by the historical operating data of a multi-sources combined heat and power system in Shanghai chemical industrial park.A multi-objective optimization model which includes energy consumption,economic profit and environment cost is proposed for that multi-sources heating system.Meanwhile,the security of steam flow in network is took as constraints.An improved particle swarm optimization algorithm is used to solve the operation and scheduling problem,and the dynamic-objective method is introduced to solve the complex constraint of heat network.A hierarchical optimization method is proposed and applied to the operation and scheduling optimization in Shanghai chemical industrial park.The scheduling results between two heat sources is represented as a Pareto solution,so that the decision maker can choose the optimum solution according to their different preferences on economic and environment.The optimal dispatch conducted in Caojing combined heat and power plant indicates that the total gas consumption saves about 0.75%after optimization.In response to the situation that the heavy pollution of coal fired power plant,the solar energy is integrated into coal fired power plant.The integrate mode and operation optimization of solar aided coal fired power plant are studied in this paper.The simulation results indicate that when the solar energy is used to replace the steam extracted from the steam turbine to heat the feed water,the higher pressure steam it replaces,the higher generation efficiency and lower solar collecting efficiency would get.Based on that regularity,the solar to electricity efficiency considering solar collecting efficiency is provided and an optimization strategy,switching solar integrate mode according to the solar irradiation intensity,is proposed.Levelized Electricity Costs(LEC)is chosen as the optimization function,the optimization results indicate that switching integrate mode under different solar irradiance has a lower LEC than fixing integrate mode in a certain position.Besides,the LEC decreases at first and then increases with the increase of the solar collector area.