电力系统自动化2024，Vol.48Issue(1)：88-99,12.DOI:10.7500/AEPS20230404002
基于灵敏度协同的多馈入新能源集群最大容量优化分配方法
Optimal Maximum Capacity Allocation Method for Multi-infeed Renewable Energy Cluster Based on Sensitivity Collaboration
摘要
Abstract
With the continuous increase in the accessing proportion of renewable energy,the grid-connected system gradually tends to be a multi-infeed system and the grid strength is gradually weakened.The resonance problem will become one of the key factors which limits the improvement of the renewable energy penetration rate.Therefore,with the constraints on harmonic resonance,an optimal allocation method is proposed to increase the maximum accessing capacity of multi-infeed renewable energy clusters.First,the impedance model of the grid-connected inverter with operation points is established,and the aggregation model of the generalized multi-infeed system is obtained based on the electrical network theory.Then,the extreme function of phase margin with respect to cluster capacity is constructed,and the extreme condition under which the cluster impedance sensitivity should be kept consistent when the stability margin is maximum under a certain capacity is obtained by using the Lagrange multiplier method.On this basis,aiming at the maximum support demand of the renewable energy of the regional grid under the resonance constraint,a cluster capacity threshold value solving and an allocation optimization methods based on the sensitivity collaboration are proposed,and the complexity of the proposed method is analyzed.The proposed method is simple and efficient,and the computing power demand is small during capacity planning.Finally,the feasibility of the theoretical analysis and proposed method is verified by the cases of IEEE 9-bus and IEEE 33-bus regional microgrids in the real-time digital simulation hardware-in-the-loop.关键词
渗透率/新能源/多馈入系统/阻抗/谐振/灵敏度/容量分配Key words
penetration rate/renewable energy/multi-infeed system/impedance/resonance/sensitivity/capacity allocation引用本文复制引用
姜颢宇,齐磊,孙孝峰,赵巍,李昕,翟燕飞..基于灵敏度协同的多馈入新能源集群最大容量优化分配方法[J].电力系统自动化,2024,48(1):88-99,12.基金项目
河北省重点研发计划资助项目(19214405D) （19214405D）
河北省自然科学基金重点项目(E2021203162). This work is supported by Hebei Provincial Key R&D Program of China(No.19214405D)and Hebei Provincial Natural Science Foundation of China(No.E2021203162). （E2021203162）
