含风电系统中机组组合的分时段分层优化

Time-Interval and Layered Optimization of Unit Commitment in the System with Wind Power

首先,基于随机生产模拟算法(probabilistic production simulation algorithm,PPSA),建立了包含风电、火电、水电、气电和抽水蓄能等类型的机组组合优化模型,其特点是可通过PPSA提供的可靠性指标和灵活性指标形成约束,从而保证机组组合方案的优化必然满足可靠性和灵活性的要求;然后,以PSO、PL和动态规划三种算法构成分时段与分层的优化策略,对机组组合方案的经济性进行优化;最后,利用所提出的模型及策略对10机和32机系统的机组组合问题进行求解,验证了该方法的准确性和有效性。

Firstly, based on the probabilistic production simulation algorithm(PPSA), an optimization model of unit commitment is established, which includes wind power, thermal power, hydropower, gas power and pumped storage. Its characteristic is that the reliability index and flexibility index provided by PPSA can be used to form constraints, so as to ensure that the optimization of unit commitment scheme must meet the requirements of reliability and flexibility. Three algorithms, PSO, PL and dynamic programming,are used to form a time-division and hierarchical optimization strategy to optimize the economy of the unit commitment scheme. Finally, the proposed model and strategy are used to solve the unit commitment problem of 10-machine and 32-machine systems and the accuracy and effectiveness of the method are verified.