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8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Fan, Rongqi Li, Jing Ge, Ning Li, Kuan Wang, Zhiyuan Yin, Huanhuan State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China Shandong University Ministry of Education Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781728117225

This paper proposes a fault cause identification method based on multi-source information for UHVDC transmission lines. The multi-source fault information used in this paper includes voltage, current,weather, season, time period, terrain and historical fault information. Firstly, the method analyzes multi-source fault information to extract fault features. Then, the BP neural network is used to fuse the multi-source fault feature. The output of the BP neural network is the probability of failure causes. This method selects the fault type with the highest probability. The effectiveness and feasibility of the method in identifying different types of fault causes are demonstrated by case tests. © 2019 IEEE.

关键词： Electric lines

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Comprehensive assessment of second-life battery energy storage system operation performance based on analytic hierarchy process 2

Comprehensive assessment of second-life battery energy stora...

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2nd IEEE International Conference on Electronics Technology, ICET 2019

作者： Cao, Yongji Xu, Qingwen Zhang, Hengxu Yu, Qingbin Gao, Song Li, Jun Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan250061 China State Grid Shandong Electric Power Company State Grid Shandong Electric Power Research Institute Jinan250002 China

ISBN: (纸本)9781728116181

Considering the adequate energy capacity and lower price of retired electric vehicle traction batteries, the second-life battery energy storage system (SLBESS) is of great significance for active distribution network (ADN) to enhance sustainable energy accommodation and decrease investment capital costs. This paper proposes a comprehensive assessment approach to quantify the operation performance of SLBES in the ADN. A multi-level comprehensive assessment framework is established, which incorporates both the operation benefits and electrical features. As for the SLBES operation benefits, the amount and volatility of exchanging power between the ADN and utility grid are adopted. Moreover, the voltage volatility, three-phase unbalance and harmonic content at the point of common coupling are taken as the main quantitative indices of electrical features. Furthermore, the analytic hierarchy process method is utilized to determine the relative weights of intra-level indices, and then the comprehensive assessment index is obtained via the linear weighted summing of sub-level quantitative indices orderly. A case study is conducted to demonstrate the effectiveness of the proposed assessment approach. © 2019 IEEE.

关键词： Analytic hierarchy process

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Feature Selection Method for Non-intrusive Load Monitoring with Balanced Redundancy and Relevancy

Feature Selection Method for Non-intrusive Load Monitoring w...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Sheng Bao Li Zhang Wensheng Li Donglei Sun Boyi Zhang Xueshan Han Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Economic & Technology Research Institute Jinan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

Non-intrusive load monitoring(NILM) has become a key technology in the power Internet of Things and an important information source of load characteristics analysis. Whether the selected features are appropriate determines the effectiveness of load identification in NILM. In order to reduce redundance and improve relevance of the selected features, a feature selection method which integrates mutual information and Relief-F algorithm is proposed. Based on the analysis of the power consumption characteristics of various electrical appliances, the prospective components of the initial feature set for NILM is discussed. From the perspective of balancing redundancy and relevancy, the redundant features are removed by using mutual information algorithm, the relevance of the features are sorted by using Relief-F algorithm, and then the optimal feature subset is obtained. A k-NN identification algorithm is applied to test the effectiveness of the feature selection methods. The simulation results show that the proposed method is superior to other filter feature selection methods in robustness and universality, and can significantly improve the identification accuracy.

关键词： Feature extraction Transient analysis Mutual information Steady-state Redundancy Monitoring power systems

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A New power Flow Algorithm for Hybrid AC/DC power Grid 2

A New Power Flow Algorithm for Hybrid AC/DC Power Grid

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2019 2nd International Conference on Advanced Algorithms and control Engineering, ICAACE 2019

作者： Li, Jiawei Han, Xueshan Li, Wenbo Jiang, Zhe Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Inxititute Shandong Province Jinan250003 China

Aiming at the problem of grid power flow calculation with VSC (Voltage Source Converter) unit in the context of the energy internet, this paper presents a new converter equivalent model. This study introduces a novel unified power flow algorithm for hybrid AC/DC power grids. The method simplifies the converter model by means of equivalent substitution and power conversion. The model better inherits the advantages of traditional AC power flow calculation. Finally, a unified iterative method is used to calculate an IEEE-57 node. © Published under licence by IOP Publishing Ltd.

关键词： Iterative methods

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A Corrective control Approach For Combined Heat And power system integrated with Multiple Energy Storage system

A Corrective Control Approach For Combined Heat And Power Sy...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Lin, Qunli Shen, Xinwei Sun, Yong Li, Zhenyuan Guo, Qinglai Sun, Hongbin Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Grid Corp. of China Jilin Power Grid Company Jilin China State Key Lab. of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing China

ISBN: (纸本)9781728135205

The integrated Energy system (IES) becomes very important nowadays, however, the coupling between multiple energy systems will bring new challenges to the security control of the IES, such as combined heat and power (CHP) system. The corrective control means that the operations can be adjusted after contingency happens to eliminate the constraints violation in the contingency state such as the transmission outage or generator outage. This paper proposes a corrective control approach for CHP system integrated with the energy storage system based on security constrained economic dispatch (SCED) model. Case studies based on the IEEE 9-bus CHP system are presented to verify the method. The case result shows that the energy storage device can solve the ramping of the unit's output adjustment well. The corrective control method is more scientific and economical. © 2019 IEEE.

关键词： Outages

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Confidence interval based distributionally robust real-time dispatch considering wind power uncertainty 8

Confidence interval based distributionally robust real-time ...

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8th Renewable power Generation Conference, RPG 2019

作者： Li, Peng Yang, Ming Yang, Jiajun Du, Pingjing Yan, Fangqing Zhu, Yi Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250061 China Economic and Technology Research Institute of State Grid Shandong Electric Power Company Jinan250021 China

ISBN: (纸本)9781839531255

A confidence interval based distributionally robust real-time dispatch (CI-DRTD) approach considering wind power uncertainty is proposed, which can strike a balance between the operational costs and risk even when the wind power probability distribution cannot be precisely estimated. Based on the imprecise probability theory, the confidence interval based ambiguity set of wind power uncertainty can be constructed. By the identification of the worst distribution, the original distributionally robust optimization problem can be reformulated as a robust economic dispatch problem. By using the algorithm developed in our previous work, the robust economic dispatch model can be reformulated as a mixed integer linear programming problem, for which off-the-shelf solvers are available. Case studies verify the effectiveness and efficiency of the proposed approach. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Wind power

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Application Case of Transient Energy Method in Location of Single Phase to Ground Fault

Application Case of Transient Energy Method in Location of S...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Xie Wei Wang Xuewen Zhang Hengxu Shi Fang Xing Xiaodong Sun Baicong Fang Chen State Grid Shanghai Municipal Electric Power Company Shanghai China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China State Grid Shanghai Electric Power Research Institute Shanghai China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

The distribution networks in China and many other countries are mostly neutral inefficiently grounding systems (NIGS), and more than 80% of the faults in the distribution networks are single phase to ground (SPG) faults. Due to the weak fault current and imperfect detection equipment configuration, the faulted line section location methods of the SPG fault in NIGS has not been effectively resolved. The development and application of μM-PMU provides more comprehensive fault information support for fault diagnosis of distribution network. When a SPG fault occurs, the transient energy of the faulted line section is greater than the sum of the transient energy of other line sections. A faulted line section location algorithm based on transient energy is proposed. The algorithm is implemented and embedded in the master station, and the corresponding interface is designed. A field test plan was designed and implemented in a 35kV distribution network. The test results show that the algorithm can locate the faulted line section efficiently.

关键词： Transient analysis Circuit faults Grounding Resonant frequency Cutoff frequency Fault currents

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From Distributed Energy Resources to Virtual power Plants: A Cyber-Physical system Solution for Integrating Demand-side in Smart Grid

From Distributed Energy Resources to Virtual Power Plants: A...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Liting Tian Lin Cheng Yuxiang Wan Kai Yuan Rui Liu Kuihua Wu State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China State Grid Economic & Technology Research Institute Beijing China Economic & Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

Distributed Energy Resources(DERs) will be an important part of the future power system under the spread of distributed renewable energy generation, electric vehicles, demand response and other technologies. Cyber-physical system (CPS) is one of the development directions for the future smart grid to integrate the widespread DERs. First, this paper presents the basic architecture and operation process of virtual power plant (VPP). Then the solution of communication structure and software platform are proposed. It is pointed out that virtual power plants have good applicability in information and communication infrastructure, power market and DER integration. Finally, a demonstration program in China is introduced. The research and application of virtual power plant is currently in its embryonic form. It provides a solution for the transmission from centralized power production to the distributed energy utilization, and is an adequate way to integrate geographical dispersion, heterogeneous DERs.

关键词： Renewable energy sources Transforms system integration Cyber-physical systems power markets Software Smart grids

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Emissions reduction potential and feasibility of vehicle-to-grid for Beijing's future electric vehicles

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Cell Reports Physical Science 2025年第6期6卷

作者： Xu, Jiaxin Chen, Jiahui Wei, Hongyi Zhao, Yinan Tian, Bowen Wen, Yifan Jiang, Haiyang Zhang, Ning Zhang, Shaojun Wu, Ye School of Environment Tsinghua University Beijing 100084 China Center for Sustainable Systems School for Environment and Sustainability University of Michigan Ann Arbor 48109 MI United States School of Electrical and Power Engineering Power System Research Institute Tsinghua University Beijing 100084 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China State Key Laboratory of Regional Environment and Sustainability Tsinghua University Beijing 100084 China

Electric vehicles (EVs) offer significant potential to reduce greenhouse gas (GHG) emissions from road transport. However, nighttime charging increases peak demand and thermal power reliance. This study evaluates vehicle-to-grid (V2G) as a solution by integrating GPS-based EV travel data with hourly grid modeling for 2 million EVs in Beijing. Results show V2G boosts renewable energy use in charging to 66%, up from under 4% in uncoordinated charging. V2G cuts vehicle uncoordinated charging emissions by 20.6% and reduces the grid's GHG footprint by replacing thermal power with discharging electricity. Commuter vehicles and the summer months offer the highest V2G emissions reduction potential. The study finds battery degradation manageable and highlights synergies between V2G, renewable capacity expansion, and economic incentives, while emphasizing the need for robust infrastructure and local grid networks to support large-scale EV adoption. This approach therefore offers a promising pathway to accelerate sustainable energy solutions amid increasing vehicle electrification and renewable integration. © 2025 The Author(s)

关键词： electric vehicles GHG emissions grid optimization travel pattern V2G vehicle to grid

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Capacity Optimization Configuration of Wind-Solar-Hydrogen-Ammonia Coupling system Considering On/Off Grid Electricity Constraints

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Smart power 2025年第1期53卷 75-81and97页

作者： Kong, Lingguo Jia, Zhonghua Shi, Zhenyu Kang, Jiandong Fang, Lei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China China Electric Power Research Institute Co. Ltd. Beijing100192 China State Grid Jiangxi Yingtan Power Supply Company Yingtan335000 China

To promote the large-scale development of "green hydrogen" for "green ammonia" production and enhance the economic viability of wind-solar-hydrogen-ammonia multi-factor coupling system，this paper proposes a capacity optimization configuration method for the wind-solar-hydrogen-ammonia multi-factor coupling system considering on/off grid electricity constraints. Firstly，the mathematical models of key equipments in hydrogen production by water electrolysis and ammonia synthesis framework are established. Then considering renewable energy on-grid and off-grid electricity constraints，the operation strategies for the wind-solar-hydrogen-ammonia multi-factor coupling system with various operating conditions are proposed based on net power conditions and time-of-use electricity pricing policies. Furthermore，the objective function of minimizing the levelized cost of the ammonia is combined with the operation strategies for the multi-factor coupling system to establish a refined capacity optimization configuration model，solving the model with an improved particle swarm optimization algorithm. Finally，a case study using wind and solar data from a region in Inner Mongolia is conducted to verify the economy and effectiveness of the proposed optimization configuration method. © 2025 Zhihui Dianli Bianjibu. All rights reserved.

关键词： Particle swarm optimization (PSO)

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