Collaborative Operation Optimization Of Combined Cooling Heating And Power Stations

The equipment parameters and operation mode of multi-energy combined cooling,heating and power system are important factors to determine its performance.The unreasonable design of structure and equipment parameters will directly affect the operation efficiency of the system,resulting in low economic and environmental benefits.Based on the CCHP system,combined with solar and wind energy of renewable energy sources,this paper breaks the traditional regional energy supply mode,forms a multi-energy CCHP system,and studies the equipment parameters and uncertainties in the operation of the system.So as to provide a theoretical basis for the coordinated operation of the multi-energy CCHP system in different time,space and market environments,to achieve efficient use of energy.Firstly,the equipment parameters and structure characteristics of CCHP system are studied,and the influence of the parameters of CCHP system with energy storage device and renewable energy complementary on its operation efficiency and energy utilization rate is considered.Then,according to the operation objectives of environment,economy,and system stability,an economic allocation model is established,and optimization of system operation using stochastic dynamic programming algorithm.Finally,based on the operation requirements of the multi-energy CCHP system,the multi-scenario conditions of wind and solar energy output,seasonal characteristics in time domain,regional types in space domain and market policy conditions are considered.The main research of this paper include:(1)The mathematical model of the operation equipment of the CCHP system is established to provide the basis for the study of the economic operation of the CCHP system.Firstly,the maximum pressure of gas storage tank,compressor trains and heat exchanger efficiency in CCHP system with energy storage device are studied by thermodynamics and thermoeconomics theory,and the effects of these parameters on storage efficiency,energy density and return efficiency of energy storage device are analyzed.Then,the maximum pressure of storage tank,air mass flow rate and gas turbine inlet temperature in the wind-solar complementary CCHP system are studied,and the effects of these parameters on the power of compressor and gas turbine,charging and discharging time of storage tank,hot water output and exergy loss of the system are analyzed.(2)Firstly,on the basis of the structure of combined cooling/heating power structure,the operation methods of "Following the Electric Load" and "Following the Thermal Load" are analyzed.Then,the economic allocation model of the multi-energy combined cooling,heating and power system is established.Then,with the investment cost and operation cost as the objective,energy balance and output characteristics of each equipment as constraints,an economic allocation model of the multi-energy cogeneration system is established,and the stochastic dynamic programming algorithm is used to reasonably dispatch and distribute the energy in order to achieve the optimal economic benefits.Finally,considering the utilization of wind energy and solar energy in strong wind,strong wind and weak light,weak wind and weak wind and weak light scenarios,multi-objective genetic algorithm is used to calculate the compression ratio and expansion ratio and to distribute the system energy reasonably in order to achieve the goal of minimizing cost and maximizing revenue.(3)Cooperative operation optimization of multi-energy CCHP system in time domain is studied.Firstly,the matrix structure model of multi-energy three-way supply system is established,and the coefficient matrix,dispatching matrix and transformation matrix are established respectively according to the equipment operation coefficient and energy dispatching method.Then,with the objective of system operation cost,environmental cost and system benefit,and with the constraint of equipment output characteristics and energy balance,an economic optimization model is established,and the objective function and constraint conditions are matrix.Finally,the hybrid rolling time domain and particle swarm optimization(PSO)algorithm are used to optimize the system matrix,and the energy of the matrix system in summer and winter in time domain is optimized to improve the economic and environmental benefits of the multi-energy CCHP system in time domain.(4)Cooperative operation optimization of multi-energy CCHP system in space domain is studied.Firstly,the energy supply mode and energy flow model of multi-energy three-way power supply system in centralized and decentralized areas are analyzed.Then,each station in the multi-energy triple-supply station group in the urban area is regarded as an agent.According to the functions of each station group,it is divided into energy supply agent,energy demand agent and energy dispatching agent.According to the information of supply and demand shared by the agents and the dispatching plan,the multi-agent model of the urban area is established.Finally,the genetic algorithm is used to collect and process the data among agents,and the knowledge is used to analyze and reasoning,so as to formulate a reasonable scheduling plan to achieve the energy scheduling of each site in the urban area.(5)Cooperative operation optimization of multi-energy combined cooling,heating and power system under market conditions.Firstly,the market factors affecting the operation economy of the multi-energy CCHP system are analyzed,including cost and profit,social demand,supply conditions and related policies.Then,the impact of market policies,such as green certificate trading mechanism,emission trading mechanism,renewable energy and electricity quota system,on the economic operation of multi-energy CCHP system is analyzed.Finally,the impact of green certificate price and emission permit price on the system operation is studied through an example.The conclusion is that market policy can stimulate development of renewable energy and reduce emission of polluted gases.