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Distributionally Robust Transmission Expansion Planning Considering Uncertainty of Contingency Probability

Journal of Modern power systems and Clean Energy 2022年第4期10卷 894-901页

作者： Weilun Wang Mingqiang Wang Xueshan Han Ming Yang Qiuwei Wu Ran Li Key Laboratory of Power System Intelligent Dispatch and Control Ministry of EducationShandong UniversityJinan 250002China Department of Electrical Engineering Technical University of DenmarkRegion HovedstadenDenmark

The outage of power system equipment is one of the most important factors that affect the reliability and economy of power *** is crucial to consider the influence of contingencies elaborately in planning *** this paper,a distributionally robust transmission expansion planning model is proposed in which the uncertainty of contingency probability is *** uncertainty of contingency probability is described by uncertainty interval based on the outage rate of single *** epigraph reformulation and Benders decomposition are applied to solve the proposed ***,the feasibility and effectiveness of the proposed model are illustrated on the IEEE RTS system and the IEEE 118-bus system.

关键词： Benders decomposition distributionally robust equipment outage rate transmission expansion planning

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Round-trip information timeliness based energy storage control for cyber-physical integrated multi-energy system

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Journal of Energy Storage 2025年 127卷

作者： Liao, Haijun Zhang, Hongshuo Che, Wenxuan Li, Ziming Zhou, Wen Zhou, Zhenyu Tariq, Muhammad State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China Electrical Engineering Department National University of Computer and Emerging Sciences Islamabad44000 Pakistan

The cyber–physical integrated multi-energy system (MES) with energy storage plays an essential supporting role in achieving low-carbon operation of distribution grid. Distributed consensus optimization is the core principle to facilitate cost-efficient operation of MES under the volatility of renewable energy output and load. However, the economic control of cyber–physical integrated MES neglects the close coupling between the physical-domain control stability and cyber-domain information interaction timeliness. Meanwhile, there lacks a timeliness model reflecting the timeliness loss in the round-trip information interaction among multi-energy subsystems, and a consensus optimization method considering the round-trip information timeliness and multi-energy subsystem influences, thereby weaking control stability and convergence performance. Thus, a round-trip timeliness model for cyber-domain MES is developed, and a cyber–physical integrated MES control problem is constructed to minimize the total control cost by jointly optimizing cyber-domain interaction sequence, physical-domain consensus variable weights, and multi-energy subsystem output power. A round-trip timeliness minimization-driven control algorithm for cyber–physical integrated MES is proposed. In the offline phase, K-means and radial basis function are used to fit the influence of MESs. In the online phase, a low-complexity externality matching algorithm is proposed to optimize the interaction sequence and adjust the consensus variable update process to improve information timeliness and control economy. Simulation results demonstrate that the proposed algorithm has superior performances in economic control of MES and convergence speed. © 2025

关键词： Boolean functions

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Metal Particle Contamination in Gas-insulated Switchgears/Gas-insulated Transmission Lines

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CSEE Journal of power and Energy systems 2021年第5期7卷 1011-1025页

作者： Jian Wang Qi Hu Yanan Chang Jingrui Wang Ruixue Liang Youping Tu Chuanyang Li Qingmin Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources and the Beijing Key Laboratory of High Voltage and EMC North China Electric Power UniversityBeijing 102206China. Department of Electrical Engineering Tsinghua UniversityBeijing 100084China.

Metal particle contamination in a gas-insulated switchgear(GIS)or a gas-insulated transmission line(GIL)is an important factor leading to the decline of insulation *** the deterioration mechanism and suppression measures of metal particles on insulation is a key technical problem in enhancing the dielectric strength of GIS/GIL *** this paper,the charge and motion characteristics of metal particles are first *** gas gap breakdown caused by free metal particles and the surface flashover caused by metal particles near or adsorbed on the insulator are then analyzed according to different particle motion patterns and spatial *** in terms of operation managements,the existing methods of particle detection are *** addition,the main inhibition methods of metal particles are introduced from three aspects:particle trap,insulator surface treatment and electrode ***,the prospects in the future research on particle pollution in GIS/GIL are also pointed out.

关键词： Gas gap breakdown GIS/GIL metal particles particle detection particle suppression surface flashover

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Decision Support system for Adaptive Restoration control of Distribution system

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Journal of Modern power systems and Clean Energy 2022年第5期10卷 1256-1273页

作者： Lili Hao Yusheng Xue Ze Li Haohao Wang Qun Xu School of Electrical Engineering and Control Science Nanjing Tech UniversityNanjing 211816China State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina State Grid Qingdao Power Supply Company QingdaoChina

Aiming at the high-dimensional uncertainties of restoration process, an optimization model for distribution system restoration control is proposed considering expected restoration benefits, expected restoration costs, and security risks of the overall restoration scheme. In the proposed model, the effect of security control on restoration process is actively analyzed considering the security control costs of preventive, emergency, and correction controls. A two-layer decision support framework for distribution system restoration decision support system(DRDSS) is also designed. The upper layer of the proposed framework generates the pre-adjustment schemes of operation mode for energized power grid by load transfer and selects the optimal pre-adjustment scheme and the corresponding partitioning scheme based on the partition adjustment results of each pre-adjustment scheme. In addition, it optimizes the spatial-temporal decision-making of the inter-partition connectivity. For each partition, the lower layer of the proposed framework pre-selects the units and loads to be restored according to the pre-evaluated restoration income, generates the table of alternative restoration scheme for coping with uncertain events through simulation and deduction, and evaluates the risk and benefit of each *** the uncertain events in the actual restoration process, the current restoration scheme can be adaptively switched to a sub-optimal scheme or re-optimized if necessary. Meanwhile, the proposed framework provides an information interaction interface for collaborative restoration with the related transmission system. A 123-node test system is built to evaluate the effectiveness and adaptability of the proposed model and framework.

关键词： Distribution system restoration pre-adjustment of operation mode load transfer dynamic partitioning risk and benefit security control

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Environment-friendly Insulating Gases for HVDC Gas-insulated Transmission Lines

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CSEE Journal of power and Energy systems 2021年第3期7卷 510-529页

作者： Geng Chen Youping Tu Cong Wang Jue Wang Zhikang Yuan Guoming Ma Jian Wang Bo Qi Chuanyang Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources and the Beijing Key Laboratory of High Voltage and EMC North China Electric Power UniversityBeijing 102206China Institute of Electrical Engineering Chinese Academy of SciencesBeijing 100190China Department of Electrical Engineering Tsinghua UniversityBeijing 100084China

Environment-friendly gas insulating mediums adapted to a DC gas-insulated transmission line(GIL)electric field condition is the key to the next generation of Environment-friendly HVDC *** this paper,we review the literature on sulfur hexafluoride(SF6)alternatives including the scientific understanding,control,and implementation of gas-solid systems in this type of power ***,the structure-activity relationship between the molecular structure and physico-chemical properties of Environment-friendly insulating gases is ***,the search and prediction of important physicochemical properties of gases are ***,in view of the potential of environmental friendly insulating gases,the swarm parameters of gas discharge and breakdown properties in a quasi-uniform field,inhomogeneous field,and at the gas-solid interface,that need to be taken into account with industrialized DC GILs are *** latest research progress on insulation characteristics,especially the polarity effect in DC gas-solid insulation systems,the sensitivity to the electrode surface state,and the non-uniformity of the electric field,and the influence of metal particles and their variation with air pressure,is *** addition,the heat transfer characteristics of insulating gases,related to DC GIL transmission with a large current-carrying capacity and the influence of alternative gases on the heat transfer characteristics are ***,aiming at solving the contradiction of low environmental impact,high dielectric strength and low liquefaction temperatures in the selection of alternative gases,an coordinated regulation model for Environment-friendly gases in DC GILs is *** for future work on this topic are also presented.

关键词： Environmental friendly insulating gas gas-insulated transmission line high-voltage direct-current transmis-sion sulfur hexafluoride

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Analytical Representation of Data-driven Transient Stability Constraint and Its Application in Preventive control

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Journal of Modern power systems and Clean Energy 2022年第5期10卷 1085-1097页

作者： Yiwei Fu Xiaohua Zhang Lei Chen Zengyao Tian Kaiyuan Hou Haikuan Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Jibei Electric Power Company Beijing 100053China Northeast China Branch of State Grid Corporation of China Shenyang 110180China

Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays. Data-driven TSA model can be adopted in the stability constraints of preventive control optimization, but existing methods are mostly iteration-based ones, which may result in low efficiency, sometimes even non-convergence. In this paper,an analytical representation method of data-driven transient stability constraint is proposed based on a non-parametric regression model built for TSA. key feature extraction and dominant sample selection are proposed to reduce the scale of the TSA model, and bi-level linearization is applied to further modify *** preventive control model is then formulated as a mixed-integer linear program(MILP) problem with the linearized analytical data-driven transient stability constraint, which can be solved without iterations. An overall procedure of datadriven TSA and preventive control is finally developed. Case studies show that the proposed method has high accuracy in TSA and can achieve effective preventive control of power system with high efficiency.

关键词： Data-driven critical clearing time transient stability constraint non-parametric regression optimal preventive control

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An Online Compensation Method of DC Drift for Three-Phase Current Reconstruction with DC-Link Resistance

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Chinese Journal of Electronics 2020年第5期29卷 982-990页

作者： HUANG Lili ZHENG Lianqing LI Pengwei Department of Electric Machine and Electric Apparatus School of Electrical Engineering Chongqing University State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University

In a three-phase power convertor system,phase current reconstruction technique using a DC-link resistance can reduce the cost and weight of the diving system. The three-phase current without DC offset in normal condition is introduced in this paper *** on this premise, the DC-link current offset is considered and the logical relationship between threephase voltage, three-phase current, and DC offset are analyzed and depicted. The DC offset introduced during the sampling processes a distortion into phase current,which is composed of fundamental and harmonic frequency based on FFT analysis. The fundamental component of the distortion shares the same phase angle with counterpart voltage, which distorts power factor and amplitude of three-phase currents. The harmonic components of the distortion can be transformed into 6th harmonic components in synchronous dq axes and undermine the performance of the controlling system. After that, a practical method is proposed to solve this problem, namely sampling the DC offset signal during the period of the zero voltage vectors. An analogy sample circuit is designed and tested. This method can avoid the DC offset from the source. Finally, its effectiveness is verified via simulation and experiment.

关键词： synchronous dq axes DC drift phase angle power grids DC offset signal compensation FFT analysis electric current control power convertors DC offset PWM power convertors fast Fourier transforms Current deviation power system harmonics DC-link resistance three-phase current reconstruction phase current reconstruction technique three-phase power convertor system harmonic components power supply quality Phase current reconstruction

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A data selection method for matrix effects and uncertainty reduction for laser-induced breakdown spectroscopy

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Plasma Science and Technology 2023年第7期25卷 82-89页

作者：龙杰宋惟然侯宗余王哲 State Key Laboratory of Power System Operation and Control Systems International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic of China Shanxi Research Institute for Clean Energy Tsinghua UniversityTaiyuan 030032People’s Republic of China

Severe matrix effects and high signal uncertainty are two key bottlenecks for the quantitative performance and wide applications of laser-induced breakdown spectroscopy(LIBS).Based on the understanding that the superposition of both matrix effects and signal uncertainty directly affects plasma parameters and further influences spectral intensity and LIBS quantification performance,a data selection method based on plasma temperature matching(DSPTM)was proposed to reduce both matrix effects and signal *** selecting spectra with smaller plasma temperature differences for all samples,the proposed method was able to build up the quantification model to rely more on spectra with smaller matrix effects and signal uncertainty,therefore improving final quantification *** applied to quantitative analysis of the zinc content in brass alloys,it was found that both accuracy and precision were improved using either a univariate model or multiple linear regression(MLR).More specifically,for the univariate model,the root-mean-square error of prediction(RMSEP),the determination coefficients(R^(2))and relative standard derivation(RSD)were improved from 3.30%,0.864 and 18.8%to 1.06%,0.986 and 13.5%,respectively;while for MLR,RMSEP,R^(2)and RSD were improved from 3.22%,0.871 and 26.2%to 1.07%,0.986 and 17.4%,*** results prove that DSPTM can be used as an effective method to reduce matrix effects and improve repeatability by selecting reliable data.

关键词： laser-induced breakdown spectroscopy(LIBS) quantification uncertainty univariate/multivariate analysis matrix effects temperature matching

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Understanding cross-market strategic behaviors of prosumers: An equilibrium-driven evolutionary game approach

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Journal of Cleaner Production 2025年 513卷

作者： Kang, Kai Su, Yifan Yang, Peng Wang, Zhaojian Zhang, Yunfan Qi, Ning Liu, Feng State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China School of Electrical Engineering Chongqing University Chongqing400044 China School of Electronics and Information Xi'an Polytechnic University Xi'an710048 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China China Electric Power Planning & Engineering Institute Beijing100088 China Department of Earth and Environmental Engineering Columbia University New YorkNY10027 United States

The rise of prosumers and the success of the sharing economy have catalyzed the development of energy sharing market (ESM), which is set to coexist with the conventional distribution energy market (DEM). However, the behaviors of prosumers within this evolving landscape remain underexplored due to the complex interactions among prosumers, ESM, and DEM. This paper presents a novel equilibrium-driven evolutionary game (EDEG) model that allows prosumers with bounded rationality to trade energy and choose participation in DEM, ESM, or both. Unlike previous studies, prosumers’ profits in this model are determined by the market-clearing equilibria, which in turn influence their market selection. The prosumers’ bidding strategies make the market clearing a hard-solving generalized Nash game (GNG). To overcome this, we convert the GNG into an equivalent, more tractable optimization problem, and then incorporate the generalized Nash equilibrium (GNE) into the EDEG model. Building on this foundation, we derive a solution algorithm and establish sufficient convergence conditions for the model. Additionally, by analyzing the equilibria, the EDEG model sheds light on the prosumers’ market selection preferences, cross-market strategic behaviors, sharp price jumping in ESM, and the conditions necessary for the stable coexistence of ESM and DEM. Furthermore, an improved pricing scheme for DEM is proposed to mitigate cross-market arbitrage behaviors and alleviate market price volatility. Finally, the simulations of six prosumer groups over 10,000 days (approximately 27.4 years) validate the theoretical findings and show the effectiveness of the improved scheme in suppressing cross-market arbitrage and stabilizing the electricity price for ESM. © 2025

关键词： Cross-market strategic behavior Distribution energy market Energy sharing market Evolutionary game Generalized Nash equilibrium

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Research focuses and advance technologies of smart grid in recent years

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Chinese Science Bulletin 2012年第22期57卷 2879-2886页

作者： MEI ShengWei CHEN LaiJun State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Department of'Electrical EngineeringTsinghuaUniversityBeijing 100084China

The smart grid is attracting more and more attention in electrical engineering for its promising ***,huge challenges also exist in the implementations of the smart grid,such as high penetration of renewable energy resources,low carbon electricity and cyber-physical security,*** this paper,the latest progress of some research focuses and advance technologies in the development of smart grid is reviewed.

关键词：电网智能技术网络物理安全可再生能源电气工程渗透力

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