考虑可靠性约束的含风电场电力系统动态经济调度

Reliability-constrained dynamic economic dispatch of power system with wind farms

提出一种考虑系统可靠性约束的含风电场电力系统动态经济调度模型,在目标函数中加入了中断负荷费用。针对风速预测和负荷预测的不确定性,引入净负荷的概念,利用七分段高斯分布模拟预测误差的不确定性。在系统可靠性指标的计算过程中,考虑了系统机组的不确定性以及旋转备用。为求解模型,提出了一种改进的粒子群优化算法,引入信息分享和精英学习策略。以IEEE-RTS测试系统为算例,通过仿真分析,验证了所提模型的可行性与有效性。该模型可以在保证系统可靠性水平的基础上优化系统调度。

A reliability-constrained dynamic economic dispatch model is developed for the power system with wind farms,which considers the cost of load interruption in the objective function. The concept of net load is introduced and the seven-interval approximation of Gaussian distribution is adopted to simulate the uncertainty of forecast error for wind power and load. The uncertainty and spinning reserve of units are considered in the calculation of system reliability index. An IPSO（Improved Particle Swarm Optimization） algorithm combining with solution-sharing strategy and elitist learning strategy is applied to solve the model. The effectiveness and feasibility of the proposed model is verified by simulation for IEEE-RTS test system and simulative results show the system dispatch is optimized while the system reliability guaranteed.