计及谐波裕度-均衡度的分布式电源最大准入功率计算方法  

Calculation Method of Distributed Generator Maximum Access Power Considering Balance Degree of Harmonic Margin

作　　者：余光正 林涛[2] 汤波 陈汝斯 田野 Yu Guangzheng;Lin Tao;Tang Bo;Chen Rusi;Tian Ye(School of Electrical Engineering Shanghai University of Electric Power,Shanghai 200090 China;School of Electrical Engineering and Automation Wuhan University,Wuhan 430072 China;State Grid Hubei Electric Power Research Institute,Wuhan 430077 China)

机构地区：[1]上海电力大学电气工程学院,上海200090 [2]武汉大学电气与自动化学院,武汉430072 [3]国网湖北省电力有限公司电力科学研究院,武汉430077

出　　处：《电工技术学报》2021年第9期1857-1865,1875,共10页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金资助项目(51177111)。

摘　　要：随着智能配电网中分布式电源(DG)渗透率的不断提高,可能导致电网中节点的谐波水平超标,制约分布式电源的接入功率,因此对考虑谐波影响的分布式电源准入功率进行研究显得十分重要。该文分析了新能源接入时向电网注入谐波的不确定性,基于2m+1点估计法考虑了谐波不确定性在电网中传播的影响,进而基于各节点谐波电压分布提出全网谐波裕度-均衡度指标和计算方法。在此基础上,以全网谐波裕度-均衡度综合指标最小和分布式电源准入功率最大为目标建立DG最大准入功率接入的优化模型。为了更好地求解上述混合整型非线性优化模型,提出一种基于粒子群优化-扩展权重ε约束法(PSO-AWCM)进行多目标优化计算。该方法考虑了各个目标函数的相对重要性,能够更有效地对目标函数进行优化。进一步地,利用模糊决策理论选取Pareto解集中的最优解。基于改进IEEE 33节点系统验证了所提方法的有效性和优越性。Distributed generator(DG)accessing to smart distribution grids,with the improvement of their permeability,may cause harmonic levels of grid node exceeding the harmonic standards GB and restrict power accessing to distributed power.Study of penetrating level considering harmonic influence is very important.To solve this problem,this paper analyzes the harmonics injecting to grid indeterminately when new energy accessing to grid and analyze the influence of harmonic spreading in grid based on 2m+1 point estimation method.The calculation methods of balance degree index of harmonic margin is proposed based on each node harmonics voltage distribution of the whole network.This paper present a method for maximizing penetration level of DG,modeling in the form of multiobjective mathematical programming to simultaneously minimize balance comprehensive degree index of harmonic margin and maximize power of DG access to grid.In order to solve this model,an augmentedε-constraint considering weight of each objective function method incorporation of particle swarm optimization(PSO-AWCM)is proposed which could optimize more effectively comparing to conventionalε-constraint method.Moreover,fuzzy decision theory is implemented to choose the most preferred compromise solution among the Pareto solutions.Using IEEE33 bus system demonstrate the effectiveness and superiority of the proposed method.

关 键 词：分布式发电(DG)装置 不确定性 谐波裕度均衡度 粒子群优化-扩展权重ε约束法(PSO-AWCM) 多目标优化 

分 类 号：TM715[电气工程—电力系统及自动化]