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Data-Model Hybrid Driven Topology Identification Framework for Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1478-1490页

作者： Dongliang Xu zaijun wu Junjun Xu Qinran Hu School of Electrical Engineering Southeast UniversityNanjing 210096China College of automation Nanjing University of Posts and TelecommunicationsNanjing 210096China

Extensive penetration of distribution energy resources(DERs)brings increasing uncertainties to distribution *** topology identification is a critical basis to guarantee robust distribution network *** algorithms that estimate distribution network topology have already been ***,most are based on data-driven alone method and are hard to deal with ever-changing distribution network physical *** these backgrounds,this paper proposes a data-model hybrid driven topology identification scheme for distribution ***,a data-driven method based on a deep belief network(DBN)and random forest(RF)algorithm is used to realize the distribution network topology rough ***,the rough identification results in the previous step are used to make a model of distribution network *** model transforms the topology identification problem into a mixed integer programming problem to correct the rough topology *** of the proposed method is verified in an IEEE 33-bus test system and modified 292-bus system.

关键词： Data-model hybrid driven DBN-RF mixed-integer programming topology identification

Residential HVAC Aggregation Based on Risk-averse Multi-armed Bandit Learning for Secondary Frequency Regulation

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Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1160-1167页

作者： Xinyi Chen Qinran Hu Qingxin Shi Xiangjun Quan zaijun wu Fangxing Li the School of Electrical Engineering Southeast UniversityNanjingChina Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment NanjingChina the School of Electrical Engineering and Computer Science University of TennesseeKnoxvilleUSA

As the penetration of renewable energy continues to increase,stochastic and intermittent generation resources gradually replace the conventional generators,bringing significant challenges in stabilizing power system ***,aggregating demand-side resources for frequency regulation attracts attentions from both academia and ***,in practice,conventional aggregation approaches suffer from random and uncertain behaviors of the users such as opting out control *** risk-averse multi-armed bandit learning approach is adopted to learn the behaviors of the users and a novel aggregation strategy is developed for residential heating,ventilation,and air conditioning(HVAC)to provide reliable secondary frequency *** with the conventional approach,the simulation results show that the risk-averse multiarmed bandit learning approach performs better in secondary frequency regulation with fewer users being selected and opting out of the ***,the proposed approach is more robust to random and changing behaviors of the users.

关键词： Heating ventilation and air conditioning(HVAC) load control multi-armed bandit online learning secondary frequency regulation

Multi-timescale Affinely Adjustable Robust Reactive Power Dispatch of Distribution Networks Integrated with High Penetration of PV

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 324-334页

作者： Peishuai Li zaijun wu Cuo Zhang Yan Xu Zhaoyang Dong Minqiang Hu School of Automation Nanjing University of Science and TechnologyNanjingChina Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment Southeast UniversityNanjingChina School of Electrical Engineering Southeast UniversityNanjingChina School of Electrical Engineering and Telecommunications University of New South WalesSydneyAustralia School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore IEEE

Photovoltaic(PV)power generation has highly penetrated in distribution networks,providing clean and sustainable ***,its uncertain and intermittent power outputs significantly impair network operation,leading to unexpected power loss and voltage *** address the uncertainties,this paper proposes a multi-timescale affinely adjustable robust reactive power dispatch(MTAAR-RPD)method to reduce the network power losses as well as alleviate voltage deviations and *** MTAAR-RPD aims to coordinate on-load tap changers(OLTCs),capacitor banks(CBs),and PV inverters through a three-stage structure which covers multiple timescales of“hour-minute-second”.The first stage schedules CBs and OLTCs hourly while the second stage dispatches the base reactive power outputs of PV inverter every 15 *** third stage affinely adjusts the inverter reactive power output based on an optimized Q-P droop controller in real *** three stages are coordinately optimized by an affinely adjustable robust optimization method.A solution algorithm based on a cutting plane algorithm is developed to solve the optimization problem *** proposed method is verified through theoretical analysis and numerical simulations.

关键词： Multi-timescale photovoltaic(PV) reactive power dispatch uncertainty affinely adjustable robust optimization

A Pseudo-measurement Modelling Strategy for Active Distribution Networks Considering Uncertainty of DGs

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Protection and Control of Modern Power Systems 2024年第5期9卷 1-15页

作者： Dongliang Xu Junjun Xu Cheng Qian zaijun wu Qinran Hu School of Electrical Engineering Southeast UniversityNanjing 210096China College of Automation&College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210003China

Active distribution networks utilize ad-vanced sensors,communication,and control technologies to achieve flexible and intelligent power distribution *** state estimation(SE)is crucial for distribution management systems to monitor these ***,the scarcity of measurement resources has hindered the application of SE technology in distribution *** a dependable pseu-do-measurement model for active distribution networks can significantly enhance the feasibility of *** paper proposes a pseudo-measurement model that aligns with the actual operating status of the distribution network,considering the uncertainty in output from distributed generations(DGs)such as wind turbines and ***,it analyzes and models the uncertainty of high-penetration DG output,establishing a reliable out-put model that incorporates the physical characteristics of wind and photovoltaic ***,it proposes a pseudo-measurement modeling method based on support vector machine(SVM),where the kernel function of the SVM is weighted according to the information entropy of fluctuations in historical operating *** weighting ensures that the established pseudo-measurement model better reflects the actual operating status of the active distribution ***,a mathematical model for optimizing pseudo-measurement selection is developed,with the minimum state estimation error as the objective function and the observability of the active distribution network system as the *** studies demon-strate the accuracy and effectiveness of this approach.

关键词： Distribution network pseudo-measurement uncertainty of DGs state estimation entropy weighting method-support vector machine(EWM-SVM)

A new method for optimal FTU placement in distribution network under consideration of power service reliability

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Science China(Technological Sciences) 2017年第12期60卷 1885-1896页

作者： XU JunJun wu zaijun YU XingHuo HU QinRan ZHU ChengZhi DOU XiaoBo GU Wei wu Zhi School of Electrical Engineering Southeast University Nanjing 210096 China School of Engineering Royal Melbourne Institute of Technology University Melbourne VIC 3001 Australia School of Engineering and Applied Science Harvard University Cambridge MA 02138 USA Zhejiang Electric Power Company Hangzhou 310014 China

Modern distribution network with high penetration of intermittent renewable sources and the so-called prosumers requires more reliable distribution automation(DA) system for safe operation and control. The design of optimal feeder terminal units(FTU)placement is critical and economical for the effective DA application. Previously proposed solutions of optimal FTU placement aiming to ensure the accuracy of state estimation(SE), typically include the following two main shortcomings: 1) only to obtain the optimal FTU placement in quantity, and the analysis of FTU location is not considered yet; 2) few consider the uncertainty of intermittent power injections in the analysis of state estimation. In this paper, a modified methodology of FTU placement is proposed not only aiming to ensure the accuracy of state estimation with the minimum number of meters, but also finding those specific FTU locations to guarantee the power service reliability. Moreover, the uncertainty models of those intermittent power injections are also considered by using probability density function(PDF). The resultant optimization problem is addressed by using the covariance matrix adaptation evolution strategy(CMA-ES). Case studies demonstrate the feasibility and effectiveness of the proposed methodology.

关键词： intermittent renewable sources FTU placement state estimation power service reliability

Bridging the gap between complex networks and smart grids

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Journal of Control and Decision 2014年第1期1卷 102-114页

作者： Wenwu Yu Guanghui Wen Xinghuo Yu zaijun wu Jinhu Lü Department of Mathematics Southeast UniversityNanjingChina School of Electrical and Computer Engineering RMIT UniversityMelbourneAustralia School of Electrical Engineering Southeast UniversityNanjingChina Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijingChina

It is well known that many real-world systems can be described by complex networks with the nodes and the edges representing the individuals and their communications,*** on recent advances in complex networks,this paper aims to provide some new methodologies to study some fundamental problems in smart *** particular,it summarises some results for network properties,distributed control and optimisation,and pinning control in complex networks and tries to reveal how these new technologies can be applied in smart grids.

关键词： smart grids complex networks consensus multi-agent systems distributed control and optimisation pinning control

Community-detection-based Approaches for Distribution Network Partition

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 1965-1976页

作者： Mingming Mao zaijun wu Dongliang Xu Junjun Xu Qinran Hu School of Electrical Engineering Southeast UniversityNanjing 210096China State Grid Shanghai Municipal Electric Power Company Pudong Power Supply Company Shanghai 200122China College of Automation and College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China

A rational partition is the key prerequisite for the application of distributed algorithms in distribution *** paper proposes community-detection-based approaches to a distribution network partition,including a non-overlapping partition and a border-node partitioning ***,a novel electrical distance is defined to quantify the coupling relationships between buses and it is further used as the edge weight in a transformed equivalent ***,a vertex/link partition community detection approach is applied to over-partition the network into high intra-cohesive and low inter-coupled *** this,a greedy algorithm and a tabu search method are combined to merge these subregions into target numbers according to the scale similarity *** proposed approaches take the influence of three-phase imbalance into consideration and they are decoupled from the power ***,the approaches are tested on an IEEE 123-bus distribution system and the results verify the effectiveness and the credibility of our proposed methods.

关键词： Community detection distribution network partition three-phase imbalance

多微电网系统的合作博弈模型及其优化调度策略

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中国电机工程学报 2022年第14期42卷 5140-5153页

作者：李得民吴在军赵波东南大学电气工程学院江苏省南京市210096 国网浙江省电力有限公司电力科学研究院浙江省杭州市310014

该文将多微电网系统中的所有微电网设为地位对等的能量管理实体,赋予每个微电网与其他微电网功率交易的定价权和交易电量决定权,构建不含中央管理单元的分布式能量管理架构。提出关于电价和功率交易量的约束协议,建立多微电网系统的合... 详细信息

该文将多微电网系统中的所有微电网设为地位对等的能量管理实体,赋予每个微电网与其他微电网功率交易的定价权和交易电量决定权,构建不含中央管理单元的分布式能量管理架构。提出关于电价和功率交易量的约束协议,建立多微电网系统的合作博弈模型,并提出效益妥协算法,使所有微电网通过效益妥协的方式接受彼此制定的能量调度策略,以统一多微电网系统的能量管理方案。结果表明,按照约束协议找到的电价策略是唯一不损害所有微电网利益的电价集合,基于该电价策略执行效益妥协过程得到的微电网间的功率交易方案是在兼顾所有微电网利益的前提下,唯一使所有微电网都接受的能量调度方案,验证了该文建立的合作博弈模型可有效实现多微电网系统的分布式能量管理。

关键词：多微电网分布式能量管理约束协议合作博弈效益

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孤岛微电网分布式P-V协调控制策略

电力自动化设备 2021年第4期41卷 101-108页

作者：苏晨吴在军窦晓波东南大学电气工程学院江苏南京210096

为提升有功功率分配精度和降低线路损耗,研究了一种孤岛微电网分布式有功-电压(P-V)协调控制策略。重点提出了考虑线损系数及节点电压优化量的有功分配因子设计方法,并研究了基于有功分配因子一致原则的功率分配方法。采用分布式稀疏通... 详细信息

为提升有功功率分配精度和降低线路损耗,研究了一种孤岛微电网分布式有功-电压(P-V)协调控制策略。重点提出了考虑线损系数及节点电压优化量的有功分配因子设计方法,并研究了基于有功分配因子一致原则的功率分配方法。采用分布式稀疏通信网络进行信息交互,利用一致性算法得到二级控制所需的有功分配因子平均估计值和系统平均电压估计值,产生综合电压优化量完成下垂控制优化,实现孤岛微电网分布式P-V协调控制。该策略可有效兼顾线路损耗降低以及有功功率分配精度提升,控制各节点电压在合理范围内,并调节系统平均电压至额定值。最后通过MATLAB/Simulink仿真验证了所提控制策略的有效性。

关键词：孤岛微电网 P-V/Q-f下垂控制分布式P-V协调控制策略有功分配因子一致性算法