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机构地区:[1]武汉供电设计院,湖北武汉430000 [2]海南电网有限责任公司,海南海口570203 [3]武汉大学电气工程学院,湖北武汉430072
出 处:《陕西电力》2015年第3期6-10,共5页Shanxi Electric Power
基 金:国家自然科学基金项目资助(51207113)
摘 要:提出了一种考虑风电波动性的微电源逆变控制器参数优化方法。以可能出现的场景模拟微电网中风电的波动性,通过特征值的参数灵敏度选取对系统稳定性和动态响应特性影响较大的主导参数,最后利用一种新的综合ITAE(Integrated of Time—weighted Absolute Error)指标构建参数优化的目标函数以评价微电源逆变控制器的控制性能。通过改进微分进化算法选取对应综合ITAE指标最小的样本参数为最优解。仿真计算结果表明:改进微分进化算法求解该优化问题时具有较好的收敛性,依据该方法设计的微电源逆变控制器参数对风电的波动具有良好的鲁棒性,系统在工况变化引起的过渡过程中拥有良好的动态响应品质。This paper proposes a parameter optimization method for inverter controller of mierosource considering the volatility of wind power generation. First, the wind power mwertairtties are modeled by a limited number of scenarios with high probabilities. Then. the dominant parameters which have a large impact on the stability and the dynamic response characteristics of the microgrid are identified by the parameter sensitivities of eigenvalues. Finally, a new integrated ITAE (integrated of time-weighted absolute error) index which can reflects the control performance of inverter controller is used as the objective function in the optimization process. The improved DE (differential evolution) algorithm is applied to find the optimal solution with minimum integrated ITAE index. Through numerical simulations, it is fimnd that the DE algorithm has a good convergence characteristic when solving this optimization problem: the parameters obtained by the proposed method is robust to the volatility of the wind power and the system has a good dynamic response quality during the transient process with the variation of operaling condition.
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