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Two-time-scale Congestion Management Scheme for microgrid Integrated Distribution Networks

CSEE Journal of Power and Energy Systems 2023年第4期9卷 1312-1325页

作者： Wei Zhang Yinliang Xu Chuheng Tang Smart Microgrid and Renewable Technology Research Laboratory Department of Electrical and Computer EngineeringLehigh UniversityBethlehemPAUSA

microgrids(MGs)with high penetration of dis-tributed generators may cause congestion in the distribution net-work during *** address this issue,this paper proposes a two-time-scale congestion management scheme for multiple MGs integrated distribution ***-ahead hourly-scale dynamic congestion management(DCM)is formulated as a con-strained optimization problem,which can be solved by utilizing the proposed alternating iterative method,with the privacy of both the distribution network and MGs being *** sub-hourly-scale contract energy tracking aims at fully utilizing the controllable resources of the MGs to minimize the difference of the contract and actual exchanged energy between the MG and distribution *** coordination of the proposed two timescales of management schemes,the MGs integrated distribution networks can operate economically while avoiding the probable congestion predicament with high penetration of renewable *** studies with a i3-bus system MGs integrated distribution network demonstrated this proposed approach is effective to manage the congestion problem in the distribution network,while the energy tracking approach can improve the welfare of the MGs engaged in energy contracts ***-Alternating giterativemethod,congestion management,microgrids,renewable energy integration.

关键词： Alternatinggiterativemethod congestion management microgrids renewable energy integration.

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Leveraging Electric Vehicles for Enhancing Power System Resilience: A Review of Strategies and Challenges

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Current Sustainable/renewable Energy Reports 2025年第1期12卷 1-8页

作者： Pang, Songling Liu, Cong Zhang, Chenjia Zhang, Jinxi Zhang, Hongcai Joint Laboratory of Smart Grid and lsland Microgrid Electric Power Research Institute of Hainan Power Grid Co. Ltd Haikou China Zhuhai UM Science & Technology Research Institute Zhuhai China University of Macau State Key Laboratory of Internet of Things for Smart City China

Background: The increasing occurrence of extreme weather events and the rapid growth of renewable energy penetration are challenging the resilience of modern power systems. Electric vehicles (EVs), due to their bidirectional energy capabilities, present a novel opportunity to enhance power system resilience in both normal and emergency scenarios. Objective: This study aims to systematically review the potential of EVs, particularly through Vehicle-to-Grid (V2G) technology, in enhancing power system resilience. The paper seeks to understand their applications in grid services, pre-disaster planning, and disaster response, while identifying associated technical, economic, and policy challenges. Methods: A comprehensive literature review was conducted, examining recent studies and pilot projects on EV integration into power systems. The review categorizes the findings into four strategic areas: V2G in non-crisis conditions, pre-disaster planning, emergency response, and policy frameworks. The paper also discusses commonly used resilience assessment metrics and proposes directions for future research. Results: EVs have demonstrated significant contributions to frequency and voltage regulation, peak shaving, black start capability, and disaster recovery. Pre-disaster coordination strategies, including hierarchical and two-stage optimization frameworks, have shown effectiveness in enhancing grid flexibility and critical load restoration. Policy mechanisms such as dynamic pricing and equitable incentive schemes play a pivotal role in encouraging EV participation in resilience services. Conclusion: EVs offer significant promise as distributed energy resources for enhancing power system resilience. Their effective integration requires not only supportive infrastructure and regulatory frameworks but also solutions to key challenges such as battery degradation, economic viability, and policy uncertainty. Future research should focus on developing scalable coordination strategi

关键词： Vehicle-to-grid

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Distributed Periodic Event-Triggered Optimal Control of DC microgrids Based on Virtual Incremental Cost

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IEEE/CAA Journal of Automatica Sinica 2022年第4期9卷 624-634页

作者： Jiangkai Peng Bo Fan Zhenghong Tu Wei Zhang Wenxin Liu IEEE the Smart Microgrids and Renewable Technology(SMRT)Research Laboratory Department of Electrical and Computer EngineeringLehigh University the Department of Energy(AAU Energy) Aalborg University

This article presents a distributed periodic eventtriggered(PET)optimal control scheme to achieve generation cost minimization and average bus voltage regulation in DC *** order to accommodate the generation constraints of the distributed generators(DGs),a virtual incremental cost is firstly designed,based on which an optimality condition is derived to facilitate the control *** meet the discrete-time(DT)nature of modern control systems,the optimal controller is directly developed in the DT ***,to reduce the communication requirement among the controllers,a distributed event-triggered mechanism is introduced for the DT optimal *** event-triggered condition is detected periodically and therefore naturally avoids the Zeno *** closed-loop system stability is proved by the Lyapunov synthesis for switched *** generation cost minimization and average bus voltage regulation are obtained at the equilibrium ***,switch-level microgrid simulations validate the performance of the proposed optimal controller.

关键词： Bus voltage regulation DC microgrids event-triggered control distributed optimal control generation cost minimization

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Operation Strategy of Rail Transit Green Energy System Considering Uncertainty Risk of Photovoltaic Power Output

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Journal of Modern Power Systems and Clean Energy 2024年第6期12卷 1859-1868页

作者： Yanbo Chen Haoxin Tian Guodong Zheng Yuxiang Liu Maja Grbic State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBejing 102206China School of Engineering Qinghai University of TechnologyXining 810016China New Energy(Photovoltaic)Industry Research Center and the Key Laboratory for Smart Operation of New Energy Power System of the Ministry of Education Qinghai UniversityXining 810016China Nikola Tesla Electrical Engineering Institute University of BelgradeBelgrade 11000Serbia

The integration of photovoltaic power generation is a new development into the traction power supply system(TPSS). However, traditional research on the TPSS operation strategy has not fully considered the risk of uncertainty in photovoltaic power output. To this end, we propose an operation strategy for the rail transit green energy system that considers the uncertainty risk of photovoltaic power output. First, we establish a regenerative braking energy utilization model that considers the impact of time-of-use(TOU) electricity price on the utilization efficiency and economic profit of regenerative braking energy and compensates for non-traction load. Then, we propose an operation strategy based on the balance of power supply and demand that uses an improved light robust(ILR) model to minimize the total cost of the rail transit green energy system, considering the risk of uncertainty in photovoltaic power output. The model incorporates the two-step load check on the second-level time scale to correct the operational results, solve the issue of different time resolutions between photovoltaic power and traction load, and achieve the coordinated optimization of risk cost and operation cost after photovoltaic integration. Case studies demonstrate that the proposed model can effectively consider the impact of the uncertainty in photovoltaic power output on the operation strategy, significantly improving the efficiency and economy of the system operation.

关键词： Rail transit green energy system improved light robust(ILR)optimization two-step load check time resolution operation strategy

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Mobile Energy Storage System Fleets Participated Active Distribution Network Restoration Model 37th

Mobile Energy Storage System Fleets Participated Active Dist...

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37th Annual Conference on Power System and Automation in Chinese Universities, CUS-EPSA 2022

作者： Meng, Na Wu, Han Sun, Liwen State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing21000 China Smart Grid Research Institute Nanjing Institute of Technology Nanjing211167 China

ISBN: (纸本)9789819914388

This letter proposes a novel coordinated network reconfiguration and mobile energy storage system (MESS) fleets dispatching model considering the uncertainty in DG output and load forecasts to increase the resilience of the active distribution network (ADN) after disasters. The MESS traveling strategy is modeled by an extended transit delay model. Then, a novel deterministic network restoration model incorporating the MESS, stationary energy storage system, distributed generation (DG), demand response (DR) and network reconfiguration is proposed and programmed using mixed integer linear programming. Then, an ellipsoidal uncertainty set is employed to describe the uncertainty of load and DG output forecasts and a robust network restoration model proposed based on the deterministic one. The proposed deterministic and robust network restoration models are verified on a 59-bus rural distribution system in China. © 2023, State Grid Electric Power.

关键词： Energy storage

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Improved Proximal Policy Optimization Algorithm for Sequential Security-constrained Optimal Power Flow Based on Expert Knowledge and Safety Layer

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 742-753页

作者： Yanbo Chen Qintao Du Honghai Liu Liangcheng Cheng Muhammad Shahzad Younis State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources and School of Electrical&Electronic Engineering North China Electric Power UniversityBeijing 102206China School of Engineering Xining UniversityXining 810008Chinaand Key Laboratory of Smart Operation of New Energy Power SystemMinistry of EducationQinghai UniversityXining 810016China China Electric Power Research Institute Nanjing 210003China National University of Sciences and Technology Islamabad44000Pakistan

In recent years,reinforcement learning(RL)has emerged as a solution for model-free dynamic programming problem that cannot be effectively solved by traditional optimization *** has gradually been applied in the fields such as economic dispatch of power systems due to its strong selflearning and self-optimizing ***,existing economic scheduling methods based on RL ignore security risks that the agent may bring during exploration,which poses a risk of issuing instructions that threaten the safe operation of power ***,we propose an improved proximal policy optimization algorithm for sequential security-constrained optimal power flow(SCOPF)based on expert knowledge and safety layer to determine active power dispatch strategy,voltage optimization scheme of the units,and charging/discharging dispatch of energy storage *** expert experience is introduced to improve the ability to enforce constraints such as power balance in training process while guiding agent to effectively improve the utilization rate of renewable ***,to avoid line overload,we add a safety layer at the end of the policy network by introducing transmission constraints to avoid dangerous actions and tackle sequential SCOPF *** results on an improved IEEE 118-bus system verify the effectiveness of the proposed algorithm.

关键词： Sequential security-constrained optimal power flow(SCOPF) expert experience safety layer renewable energy safe reinforcement learning

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Analysis of IGBT Junction Temperature Fluctuation in Modular Multilevel Matrix Converter 10

Analysis of IGBT Junction Temperature Fluctuation in Modular...

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10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Chen, Qi Xu, Yunfei Zhao, Guoliang Qi, Lei Ding, Chao State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Beijing China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China State Grid Zhejiang Electric Power Co. Ltd Research Institute Hangzhou China

ISBN: (纸本)9798350351330

The modular multi-level matrix converter (M3C) is a crucial component of the flexible low-frequency transmission system. However, during AC-AC frequency conversion, the power of the AC system on both sides, with different frequencies, is directly coupled in the inverter. The converter bridge arm is subjected to two different frequencies of AC currents simultaneously, resulting in irregular thermal cycling on the power semiconductor device, which causes the IGBT junction temperature fluctuation to be more violent and complex, thereby accelerating its aging and reducing the overall reliability of the converter. In this paper, simulations based on thermal network and electro-thermal models are built to calculate the junction temperature of the IGBTs within the submodules on each bridge arm of the M3C, and their waveform characteristics are analysed, and then the rain-flow counting method is used to extract the thermal load of the IGBTs in one cycle, which contains three important parameters used for the life analysis. © 2024 IEEE.

关键词： Junction temperature

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Analysis and suppression of voltage oscillation at DC circuit breaker terminal in DC fault transient process

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High Voltage 2022年第6期7卷 1194-1203页

作者： Hong Shen Xianrui Huang Lei Qi Xiangyu Zhang Xiaojun Ni Peng Qiu Xiaoguang Wei Xiang Cui State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijingChina Electric Power Research Institute State Grid Zhejiang Electric Power CompanyHangzhouChina State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co.Ltd.BeijingChina

High-frequency voltage oscillation occurs at the initial stage of DC short-circuit fault in the modular multilevel converter(MMC)-based high-voltage direct-current systems,which directly threatens the reliable operation of the secondary equipment in DC circuit breakers(DCCBs).Therefore,this paper focusses on the voltage oscillation characteristic at DCCB terminals,considered the stray parameters of connecting lines,the parasitic parameters of main equipment and the impedance of grounding grid,established equivalent circuit models of MMC-HVDC converter station at the initial stage of pole-topole and pole-to-ground fault,and obtained the analytical formula for the voltage oscillation ***,the comparison with the DC short-circuit test data of�200 kV MMC-HVDC converter station verified the validity of the models and revealed the mechanism of voltage ***,the influence of the parameters of the converter station on the oscillation characteristics was *** was proposed to install the DCCB at the MMC valve's terminal near the DC side,and the oscillation frequency is about 10–60 kHz,which is more than 5 times lower than that at the DC reactor's terminal near the DC pole bus,and the disturbance of oscillation to DCCB was alleviated.

关键词： oscillation. oscillation transient

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Anionic formulation of electrolyte additive towards stable electrocatalytic oxygen evolution in seawater splitting

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Journal of Energy Chemistry 2022年第9期31卷 361-369,I0010页

作者： Meng Yu Jinhan Li Fangming Liu Jiuding Liu Wence Xu Honglu Hu Xijie Chen Weichao Wang Fangyi Cheng Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education) Engineering Research Center on High-Efficiency Energy Storage(Ministry of Education)Renewable Energy Conversion and Storage CenterCollege of ChemistryNankai UniversityTianjin 300071China Integrated Circuits and Smart System Lab.(Shenzhen) Renewable Energy Conversion and Storage CenterTianjin Key Laboratory of Photo-Electronic Thin Film Device and TechnologyCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300071China

Hydrogen generation through seawater electrolysis provides a promising,attractive pathway towards the utilization of sustainable ***,the catalytic activity and stability of oxygen evolution anode are severely limited by the chloride-induced corrosion and competitive oxidation *** this work,we demonstrate an anion-assisted performance improvement strategy by quick and universal screening of electrolyte additive via correlating Cl-repellency with the anionic ***,the addition of phosphate ions is found to enable highly stable alkaline seawater splitting at industry-level current density(0.5 A cm^(-2))over 500 h using transition metal hydroxides as anodic *** situ experiments and theoretical simulations further reveal that the dynamic anti-corrosion behaviors of surface-adsorbed phosphate ions are attributed to three factors including repelling Cl-ions without significantly blocking OH-diffusion,preventing transition metal dissolution and acting as a local pH buffer to compensate the fast OH-consumption under high current electrolysis.

关键词： Alkaline seawater splitting Oxygen evolution reaction Stability enhancement Chloride corrosion Phosphate

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High Temperature and Electric Field Dependence of Resistivity in Impregnated Polypropylene Film 10

High Temperature and Electric Field Dependence of Resistivit...

引用

10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Zhang, Xinghui Zeng, Fanqiu Guo, Shaowei Xing, Zhaoliang Zhang, Chong Gao, Chunjia Qi, Bo Cui, Huize Beijing China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China

ISBN: (纸本)9798350309379

Biaxially oriented polypropylene film (BOPP) and benzyltoluene are the dominant insulating media in high-voltage capacitors. In order to investigate the electrical performance of impregnated film materials, this paper builds a polypropylene film volume resistivity test platform, which conducts tests for five thicknesses of the film to obtain the change rules of impregnated film in different temperature and field strength. Test result shows that: 1) Volume resistivity decreased after impregnation. At room temperature, the volume resistivity of 13 μm impregnated film decreases from 1.83×1016 Ω m to 1.71×1016 Ω m. 2) Impregnated film is significantly affected by high temperature and electric field. When field strength increases from 10 MV/m to 100 MV/m at room temperature, volume resistivity of the impregnated film decreases from 7% to 17% compared with the dry film. When temperature increases to 353 K and field strength increases to 300 MV/mm, volume resistivity of the impregnated film decreases by more than 30%. 3) The variation of volume resistivity of polypropylene film with temperature and field strength can be described by hopping model. At room temperature, the electron hopping distance increases from 1.3 nm to 1.4 nm, and at 353 K, impregnation makes electron hopping distance increase from 1.8 nm to 2.8 nm. The study of the change rules of the impregnated film at high temperatures and fields can help to establish a more accurate capacitor electro-thermal model. © 2023 IEEE.

关键词： Biaxially oriented polypropylene film impregnation volume resistivity

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