Research On Optimal Dispatch Of Multi Source Power Generation System With Electric Heater And Concentrating Solar Power Plant

In recent years,problems such as environmental pollution and energy crisis have become increasingly prominent.For this reason,vigorously developing new energy power generation technologies can alleviate these problems to a certain extent,especially wind power generation is playing an increasingly important role in the energy structure.However,the volatility of wind power output has increased the difficulty of power system dispatching.in addition,the contradiction between wind power and Direct Normal Irradiance(DNI)forecast accuracy and dispatch forward-looking is becoming more prominent,which may cause system risks.In this context,It is of great significance to research on wind power and other renewable energy complementary coordination scheduling to improve system economy and wind power accommodation ability.In addition,in order to accurately quantify the impact of wind power into the grid,it is also a worthy research topic to develop a scheduling strategy that comprehensively considers the economy and security.The main contents of this paper are as follows:Firstly,this paper briefly introduces the advantages of concentrating solar power(CSP),and respectively introduces the research status of concentrating solar power and uncertainty in the joint scheduling of CSP and wind power and optimization algorithm,which makes preparation for the later model establishment and problem solving.Secondly,the paper introduces the structure and working principle of wind turbine,electric heater and CSP plant containing thermal energy storage.At the same time,combining the good regulation ability of CSP plant containing thermal energy storage and the wind power accommodation ability of electric heater,establishing a wind power and EH-CSP plant joint operation model to stabilize the volatility of wind power output and make up for the large errors of wind power and DNI forecasting.Then,the method of scenario analysis is adopted to consider the uncertainty of wind power and DNI in the system,and on this basis,the conditional value-at-risk is used to measure the uncertainty risk of dispatch costs.Next,the operation framework of multi-source power generation system including thermal power plant,CSP plant,electric heater and wind farm is established,aiming at the lowest comprehensive cost under multiple scenarios,and fully considering the operating constraints of each device in the multi-source power generation system,an optimal operation model of multi-source power generation system with EH-CSP plant considering conditional risk cost is established.Finally,In order to solve the optimal scheduling model of the multi-source power generation system with complex scenarios,nonlinearity and multiple constraints,this paper introduces the elite archiving strategy and multi-core parallel computing technology,and proposes a parallel differential evolution whale optimization algorithm with elite archive to perform this model.A case study was performed in the improved IEEE 30 node system.It shows that the model proposed in this paper can effectively improve the wind power accommodation ability and the scheduling flexibility of CSP plant,and minimize the comprehensive cost of the system.Reflect the level of system risk caused by uncertainty by setting different confidence levels,and provide a basis for decision-making for dispatchers.At the same time,the effectiveness and superiority of the proposed algorithm are also verified.