考虑风电波动性的源荷优化调度策略

Optimal Source-load Dispatch Strategy Considering Wind Power Fluctuation

针对风电波动性和随机性及电网调节能力不足的问题,在分析风电波动特性的基础上对风电波动过程进行划分,基于聚类算法以风电波动量和持续波动时间为特征向量划分风电波动类型,并提出一种源荷优化调度策略。针对不同类型的风电波动,日前优化模型以系统运行成本最优为目标安排高载能可连续、可离散负荷进行消纳;日内优化模型以风电消纳量最大为目标,通过调节可连续调节负荷来追踪风电波动。最后通过自适应惯性权重粒子群算法求解模型,验证了所提调度策略的有效性。

In view of the problems of wind power fluctuation and randomness,as well as the insufficient regulation ability of the Power Grid,the wind power fluctuation was studied and the wind power fluctuation process was divided.Based on the clustering algorithm,the wind power fluctuation was divided into two kinds of characteristic vectors in terms of fluctuation quantity and duration fluctuation time.An optimal source-load dispatch strategy was proposed.For different types of wind power fluctuations,the day-ahead optimization model took the system operation cost as the objective to arrange high load energy for continuous and discrete load absorption.For the intra-day optimal dispatch model,the maximum wind power consumption was taken as the goal.The wind power fluctuation could be tracked by adjusting the load continuously.The effectiveness of the proposed scheduling strategy was verified by solving the model with an adaptive inertia weight particle swarm optimization algorithm.