基于电源灵活性裕度的含风电电力系统多源协调调度方法

多种类型电源协调互济是平抑风电随机波动、提高风电接纳能力的有效手段。从电源灵活性供需平衡的角度提出了电源上调和下调灵活性裕度指标,以优化分配有限的灵活性资源来应对大规模风电接入后带来的不利影响,并以此为约束构建了污染物排放总量最小的风水气火多源协调优化模型。基于分层求解的思想,将模型分解为风电、水电、气电、火电4个优化调度层,并提出了集成变尺度优化方法、改进的日启停调峰运行方法和耦合启发式机组组合的改进粒子群优化算法的总体求解框架,实现了多种电源的分层优化协调。某省级电网短期调度的模拟运行结果表明,该方法在保证风电完全消纳的同时,有效降低了系统的备用冗余和污染物排放水平。

Coordinated Dispatching Method for Wind-turbine-integrated Power System with Multi-type Power Sources Based on Power Flexibility Margin

It is widely accepted that the coordination between multi-type power sources is one effective measure to smooth stochastic fluctuations in wind power and improve wind power utilization. In this paper, two indices called upward-regulation flexibility margin and downward-regulation flexibility margin are put forward from the viewpoint of balance between operational flexibility supply and demand, which are used to allocate the limited flexible resources to deal with the adverse effects of large-scale wind power. On this basis, we formulate a wind-hydro-gas-thermal coordinated optimal dispatching model, in which the minimized total pollutant emission is taken as the objective. Based on the hierarchic optimization strategy, this model is decomposed into 4 operation layers according to the type of power sources to reduce the complexity of the large-scale optimization problem. Then a solving framework integrating mutative-scale optimization method, improved daily start-stop peak regulation method and improved particle swarm optimization(IPSO)coupling a heuristic unit commitment method is proposed to implement the optimal coordination between multi-type power sources. Simulation based on actual data of short-term optimal dispatching in a provincial power grid is performed to validate the proposed algorithm. The results show that this method can ensure the integration and accommodation of wind power, and it can reduce system reserve redundancy and pollutant emission at the same time.