基于混合整数线性规划的风电场有功优化调度

大规模风电并网背景下,风电场的有功优化调度对调度控制和电网安全运行至关重要。在风电场风速分布和风电功率有效评估的基础上,以风电机组的出力以及开停机状态为决策变量,考虑风电场弃风以及机组启停,建立了以风电场运行成本最低为目标的风电场优化调度模型。提出了风能利用系数的分段线性化方法,进而建立了基于混合整数线性规划的风电场优化调度模型。实际风电场的算例分析表明,该调度模型可在满足调度部门指令需求的前提下,给出风电场内最优的机组启停计划和出力安排,有效减少弃风及启停次数,降低风电场运行成本。

Active Power Optimization Scheduling of Wind Farm Based on Mixed-integer Linear Programming

With large scale wind power penetration, the active power optimization scheduling is of great importance to the scheduling, control and safe operation of power grid. On the basis of wind speed distribution and wind power evaluation, this paper studies the wind farm scheduling model using the output and status of wind turbine generators as decision variables considering the wind curtailment and start-up and cut-off of units, and aiming at the minimization of wind farm costs. The piecewise linear wind power coefficient is firstly presented, and then the wind farm scheduling model based on mixed-integer linear programming(MILP)is presented. The simulation is done based on the real wind farm parameters and the results verify the feasibility and effectiveness of the proposed model and method. With the scheduling model, a reasonable wind turbine generator commitment can be presented and the wind farm costs can be reduced. This work is supported by National Basic Research Program of China(973 Program)(No. 2012CB215201)and National Natural Science Foundation of China(No. 51477122).