Research On Reserve Optimization And Decision Making For Power Systems Considering Reserve Availability

With the deepening of energy sustainable development strategy and the rapid development of wind power technology,large-scale wind power integration will be an important feature of China's power system in the future.The randomness and volatility of wind power significantly increase the uncertainty of power system and bring severe challenges to system operation.Meanwhile,the distribution of wind resources and load is imbalanced in China,and flexibility resources tend to be scarce in areas with significant wind power penetration,which seriously restricts the wind power accommodation.Spinning reserve plays an important role in maintaining the safety of power system.Strengthening the coordination and optimization of generation schedule and reserve distribution,and improving reserve sharing among interconnected areas are conducive to ensuring the safety of system operation and promoting the cross-regional accommodation of wind power.This thesis focuses on the reserve optimization and decision making for wind power integrated power systems.The main work is as follows:(1)An approach to quantifying reserve requirement for wind power integrated power systems is studied.It is difficult to coordinate the system safety and economy using the traditional method of reserve requirement determination.Based on the probabilistic characteristics of load forecast errors,wind power forecast errors and forced outage rate of conventional units,this thesis analyzes the quantitative relationship between system reliability and reserve capacity,and optimizes the spinning reserve requirements using a cost-benefit analysis.(2)A coordinated scheduling method of active power and reserve considering reserve availability for power systems is studied.Aiming at the problem of reserve availability caused by the lack of coordination between active power and reserve,a security constrained unit commitment model with scenario constraints is formulated.Based on the continuous greedy algorithm,this thesis proposes an extreme scenario generation method which takes into account the adjustment range of unit output when reserve is called.A decomposition coordination technology is used to solve this model.The case study shows that the proposed method can effectively solve the reserve availability problem in power systems and improve the reliability of reserve without significantly increasing operating cost,which can improve the ability to deal with the random fluctuation of wind power and load.(3)A joint optimization method of generation and reserve considering reserve availability for multi-area power systems is studied.In view of the lack of reserve coordination,a cross-regional reserve sharing mechanism is proposed.Based on two-stage robust optimization theory,a joint optimization model of generation and reserve considering reserve availability is formulated and the model is solved by a column and constraint algorithm(C&CG).The case study shows that the proposed method can exploit the complementary advantages of generation resources and reserve resources among different areas and optimize the reserve allocation in each area,which can improve the economy of system operation.Meanwhile,by checking the reserve availability of area reserve allocation,it can effectively reduce the risk of wind curtailment and load shedding,which is conducive to ensuring the safety of system operation.(4)Based on the idea of "componentization",this thesis proposes a standardized modeling technology for scheduling application development.It can improve the efficiency and flexibility of model formulating by optimizing objects abstraction,optimizing objectives generalization design and constraints generalization description.