Optimail Configuration Of CCHP System With The Consideration Of Demand Response

The pressure of increasing energy supply and the increasingly serious environmental pollution problems have set more stringent requirements for speeding up the adjustment of energy structure in our country and improving the quality of the environment.The combined cooling heating and power system(CCHP system),as it can achieve a variety of energy ladder,access to distributed power supply platform,can greatly reduce environmental pollution,while increasing the penetration of distributed energy.However,there is a mismatch between supply and demand in a conventional CCHP system,which can easily result in waste of resources.Therefore,the equipment in the CCHP system needs to be sited and cited in accordance with the demand.In addition,as a kind of initiative regulation and control resource,demand response can not only improve system energy efficiency but also play a role of "peak load and valley" in CCHP system.In this context,the dissertation studies the optimal allocation of CCHP system under the condition of demand response.The main work is as follows:First of all,based on the output models of photovoltaic and gas turbines,the characteristics of various types of demand response,the demand demand response and the models of each part of CCHP system,the uncertainties in the system are built.And the CCHP system optimal allocation model which takes into account the initial investment cost of the equipment,the system operation and maintenance costs,the fuel consumption and the minimum total cost of purchasing electricity from the large power grid is proposed,and the Particle Swarm Optimization.Secondly,based on the CCHP system thermoelectric coupled operation model,a method of unit charge compensation pricing that can interrupt the load is proposed.And under the consideration of incentive and price-based demand response,an improved price elasticity of elasticity is modeled.A CCHP system optimal allocation model which takes distributed power access node and access capacity as variables and takes into account demand response is proposed.And the planning model is solved by neighborhood re-dispatch particle swarm optimization(NR-PSO).Finally,the model and algorithm proposed are used to simulate by a 13-node integrated campus.Configuration results for the CCHP system show that the total cost of configuration under consideration of demand response is lower than the traditional configuration model.And it shows the economical of the proposed model.