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中文摘要：
针对风电出力、负荷预测偏差,发电机组故障停运等不确定因素,在传统模型的基础上,增加负荷跟踪时间和快速旋转备用的限制,建立兼顾系统运行效益和备用效益的机组组合模型。以快速旋转备用来平抑风电功率和负荷的波动,以系统的发电成本和备用成本之和最小为目标函数,采用改进的遗传—粒子群算法优化求解。算例仿真验证了模型和算法的有效性。
英文摘要：
For the uncertainties such as the forecasting errors of wind power and load and the unit outage,a new method to solve the optimal unit commitment problem is proposed.In this method,the traditional unit commitment model was improved by adding the load tracking time and rapidly spinning reserve restraint so as to stabilize the fluctuations of the wind power and load.The optimization model aims to minimize the sum of operation cost and spinning reserve cost,and an improved GA-PSO algorithm is applied to solve the optimal model.During the optimization process,heuristic adjustments are applied based on the principle of energy-saving dispatch,so that the unit with high capacity and low coal consumption can keep full output power.The simulation results verify the effectiveness of the model and the algorithm.In the pursuit of minimizing the operation cost,the model can not only adapt the change of the uncertainties in system,but also improve system reliability to a large extent through dynamic adjustment of spinning reserve.
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