Research On Optimized Operation Of Integrating Concentrating Solar Power Plants With Wind Farms

In the context of carbon peaking and carbon neutrality target,the large-scale integration of renewable energy is a key feature of the new type power system.Concentrating solar power(CSP)becomes a dispatchable renewable energy technology when equipped thermal energy storage system.It does not increase the uncertainty of the system,thus having a great potential of becoming an important generation technology for the construction of the new type power system.This thesis selects CSP as the research subject in the context of renewable energy integration,and makes renewable energy consumption as the research goal.From the perspective of technical feasibility,CSP,and power systems,the research focuses on the research of optimized operation of integrating concentrating solar power plants with wind farms and proactively explore feasibility and economy of consuming renewable energy through the operational flexibility of CSP.From the perspective of technical feasibility,this thesis first analyzes the composition structure,generation principle,and operation process of the CSP plant.Specifically,the thermal process in the CSP plant including solar field,thermal energy storage,and power block is comprehensively analyzed,and a steady-state operation model that considers the energy flow and transformation within the CSP plant is constructed.Then,the combination of CSP and wind power and the use of chance-constrained programming(CCP)to describe the uncertainty of solar irradiation and wind power,and a stochastic optimal schedule model of integrating CSP plants with wind farms is established.Numerical results from case studies indicate that the CSP model established can reflect its internal thermal process and operation state in detail,and the CSP plant with operational flexibility can reduce the uncertainty of power generation and promote the consumption of renewable energy.Furthermore,the research also provides a basic model for the optimized operation of integrating concentrating solar power plants with wind farms.From the perspective of CSP,this thesis proposes a joint bidding strategy and model for CSP plants and wind farms.Due to the operational flexibility of CSP plants and the discrepancy in installed capacity from wind farms,the wind farm is assumed to participate in day-ahead energy market bidding,and the CSP plant is assumed to participate in auxiliary service market bidding,thus providing the reserve capacity for the wind farm to counteract the output fluctuations.Then,CCP and scenario set are used to describe the uncertainty of renewable energy production and market prices,and a joint bidding model for CSP plants and wind farms is established.Numerical results from case studies indicate that the joint participation of CSP plants and wind farms in the electricity market bidding can coordinate solar and wind power to reduce the uncertainty of power generation.In addition,joint bidding is conducive to improving the economy and promoting the consumption of renewable energy compared with an independent bidding strategy.In addition,this thesis proposes a coordinated operation strategy and model of CSP plants and wind farms to provide frequency regulation.The joint participation of CSP plants and wind farms in frequency regulation can respond to regulation signals effectively and achieve a better performance than conventional thermal generators.The proposed strategy exploits the CSP plant and wind farm complementarity in accuracy and durability for providing frequency regulation,which prioritizes the wind power durability to respond to regulation signals and exploits the accurate CSP regulation capability to compensate any inefficiencies in the coordinated offer.Then,a two-stage stochastic model is established for the joint system to participate in day-ahead market bidding and to simulate real-time operation.Numerical results from case studies indicate that the joint system can provide more regulation services,alleviating the regulation pressure of the system while increasing the coordinated system income.And the increased regulation performance score and energy bids,enabled by the CSP plant,will bring extra income.Finally,we conduct sensitivity analysis to study the impact of various parameters such as the installed capacity of wind farm and CSP plant on the total income of the coordinated system,which can provide a decision-making reference for the optimal configuration of the coordinated system.From the perspective of power systems,this thesis proposes a unit commitment model with concentrating solar power considering operational risk and frequency dynamic constraints.A CSP plant with renewable energy characteristics and a synchronous unit is employed to improve renewable energy consumption and provide frequency support.Firstly,an operational risk model under renewable energy integration with intermittency is established,which does not require strong assumptions on the shape of the probability distribution.Then,the frequency dynamic response characteristic of the system is considered,and the traditional frequency nadir and rate of change of frequency constraints are transformed into capacity reserve constraints to construct frequency security constraints.Finally,a novel unit commitment model with concentrating solar power considering operational risk and frequency dynamic constraints is established by incorporating operational risk and frequency security constraints into the unit commitment model.Numerical results from case studies indicate that imposing frequency security constraints will increase the operation cost,but the frequency security margin can be maintained above the defined threshold.Besides,adding a CSP plant can improve the economy of the system and enhance the capacity of renewable energy consumption.