Optimal Scheduling Research Of Power System Considering Concentrating Solar Power Plant Participation

As environmental pollution and energy shortages become more serious,it has become a consensus to use renewable energy to solve energy supply problems.Concentrating Solar Power(CSP),as a special form of renewable energy power generation,has flexible and controllable output characteristics and can replace some conventional energy sources for flexible operation.By rationally arranging CSP output plans,it can significantly improve the new energy connection of power systems.and ensure the safety and economy of large-scale wind power and photovoltaic power generation when connected to the power system.At present,the scale of CSP in China is growing rapidly,and CSP plants in some areas have been connected to the grid.Therefore,how to consider the participation of CSP plants in power system optimization dispatching on the basis of ensuring the economical operation of the system is a very worthy of topic.The main research contents of the paper are as follows:(1)Based on the comparison of the operating parameters of different types of CSP stations,the thesis takes the parabolic trough CSP plant as an example to explain the composition of the CSP plant and the operating principle of each subsystem.On this basis of this,the basic mathematical model of CSP plant is established.(2)In allusion to the problem of integrated scheduling optimization in a variety of new energy power generation,the paper integrates the wind power,photovoltaic power,concentrating solar power and thermal power generation as the muti-source power system(MSPS),and a two-stage stochastic scheduling optimization method based on robust stochastic optimization theory is proposed.First,this paper introduces the basic structure of MSPS and establishes the output power models of MSPS.Then,the scenario generation and reduction frame based on the interval method and the probability distance is proposed for dealing with the randomness of new energy output power.Based on that,a two-stage stochastic scheduling optimization model for MSPS is established.Simultaneously,the paper transforms the constraints containing random variables into the constraints reflecting the decision make’s attitude of bearing systematic risks based on robust stochastic optimization theory,and then establishes MSPS stochastic scheduling optimization model including two robust coefficients.The simulation proves that the model can reduce the risk of power shortage and provide scheduling optimization decision-making foundation for different-risk-attitude system manager.(3)Aiming at the problems of new energy consumption and economic dispatch of power system,an optimization economic dispatch method of muti-source system considering the participation of demand response(DR)and the concentrating solar power(CSP)plant is proposed.Firstly,the paper establishes the models of CSP and demand response.Then,the paper introduces price-based demand response,incentive-based demand response and CSP plant to take part in muti-source system scheduling and introduces theory of condition value at risk(CVaR)to objective function to depict the system operational risk caused by uncertainty,an optimization economic dispatch model of muti-source system is established.The simulation results show as follow: 1)The collaborative implementation of various DR has better effect of load shifting.To cooperate with thermal power generation unit,introducing the CSP plant into system can improve the consumption depth.2)The CVaR theory can effectively reflect the level of system risk caused by uncertainty and provide scheduling-decision evidence for system manager.