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Coupling Model and Cooperative Optimization operation of Multi-energy Complementary Integrated Energy System 1

8th Purple Mountain Forum on smart grid protection and Control, PMF 2023

作者： Yizhi, Chen Chenghong, Tang Dongmei, Yang Wenjie, Ye Wenjun, Xu Yuxiang, Meng State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China NARI Technology Development Co. Ltd. Nanjing211106 China Nanjing Normal University Nanjing210023 China

ISBN: (数字)9789819992515

ISBN: (纸本)9789819992508

Driven by the goal of "carbon peak and carbon neutrality", a comprehensive energy system that integrates multiple energy structures has emerged. How to realize multi-energy complementarity and collaborative optimization among different sources, effectively improve energy utilization efficiency and promote the consumption of renewable energy has become a research hotspot. In this paper, the architecture of the user-side multi-energy complementary integrated energy system is studied, and the coupling equipment and energy supply network are analyzed. A multi-time scale coupling model, including a static coupling model and dynamic coupling model, is established for the multi-energy conversion equipment, Furthermore, the multi-energy coupling integration model is described. Then, a multi-energy coupling collaborative optimization method was proposed, and the objective function and constraint conditions of the system optimization operation were established. Finally, based on the coupling model and optimization method proposed in this paper, a multi-energy complementary comprehensive energy management and control system is developed. The system has been piloted and applied in several typical comprehensive energy scenarios across the country. Through data analysis and practical application verification, energy efficiency and the economy can be effectively improved. © 2024, state grid Electric Power.

关键词： Energy efficiency

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Research on DC protection Strategy in Multi-Terminal Hybrid HVDC System

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Engineering 2021年第8期7卷 1064-1075页

作者： Yuping Zheng Jiawei He Bin Li Tonghua Wua Wei Dai Ye Li State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research Institute(NARI Group Corporation)Nanjing 211106China Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China

Multi-terminal hybrid high-voltage direct current(HVDC)systems have been developed quickly in recent years in power transmission ***,for voltage-source converter(VSC)stations in hybrid HVDC systems,no direct current(DC)filters are *** addition,the DC reactor is also not installed at the line end because the DC fault can be limited by the converter *** means that the boundary element at the line end is absent,and the single-ended protections used in line commutated converter(LCC)based HVDC(LCC-HVDC)systems or VSC-HVDC systems cannot distinguish the fault line in multi-terminal hybrid HVDC *** paper proposes a novel singleended DC protection strategy suitable for the multi-terminal hybrid HVDC system,which mainly applies the transient information and active injection concept to detect and distinguish the fault *** with the single-ended protections used in LCC-HVDC and VSC-HVDC systems,the proposed protection strategy is not dependent on the line boundary element and is thus suitable for the multiterminal hybrid HVDC *** corresponding simulation cases based on power systems computer aided design(PSCAD)/electromagnetic transients including DC(EMTDC)are carried out to verify the superiority of the proposed protection.

关键词： Multi-terminal hybrid HVDC system Single-ended protection Transient information Active injection

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Identification Methods for Transformer Turn-to-Turn Faults and Inrush Current Based on Electrical Information

Identification Methods for Transformer Turn-to-Turn Faults a...

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2021 International Conference on Intelligent Power and Systems, ICIPS 2021

作者： Gong, Xinyi Zheng, Yuping Pan, Shuyan Wu, Chonghao Deng, Jinzhao NARI Research Institute NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and Control China

Power transformer is the most imperative and crucial equipment in electrical power system. Accurately monitoring the occurrence of transformer faults and rapidly isolating the faults are of great significance to ensure the reliability of power supply and avoid serious damage to the transformer. There are many methods used in the transformer to monitor transformer running state. This paper provides a comprehensive overview of transformer turn-to-turn fault and inrush current identification methods based on electrical information, and expounds the systematic research content that needs to be carried out for transformer turn-to-turn fault identification methods based on magnetic flux leakage information. © Published under licence by IOP Publishing Ltd.

关键词： Power transformers

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Non-intrusive load perception and flexibility evaluation for electric vehicle charging station: a deep learning based approach 5

Non-intrusive load perception and flexibility evaluation for...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Electric vehicles have the advantages of zero carbon emission, high energy efficiency and simple structure, and have been widely used today. Under the control of V2G, electric vehicles can be used as loads and distributed power sources, and become participants in the operation of auxiliary systems. Aiming at how to evaluate the load states and controllability of electric vehicle charging stations, this paper proposes a load sensing method for electric vehicle charging stations based on unsupervised learning and non-intrusive load monitoring. The proposed load sensing method firstly establishes the load sensing model according to the unsupervised learning strategy, and then uses the neural network model of the supervised learning strategy to evaluate the available regulation capability, so as to realize the load perception and regulation capability evaluation of the electric vehicle charging station. Through the verification of simulation data, it is proved that the proposed method has good performance in the evaluation of load perception and controllability of electric vehicle charging stations, which provides a feasible solution to the practical implementation of auxiliary responses by electric vehicles. © 2022 IEEE.

关键词： Electric vehicles

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Design and Verification of a DC Direct-mounted Energy Storage Topology

Design and Verification of a DC Direct-mounted Energy Storag...

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IEEE Information Technology, Networking, Electronic and Automation Control Conference

作者： Junwei Huang Wujie Chao Chaoping Deng Liyu Dai Jinke Wang Electric Power Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou China Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

The modular multilevel converter based battery energy storage system (MMC-BESS) has the problem of pulsating current affecting battery life, and the high cost of retrofitting traditional modular multilevel converter (MMC) stations. The proposed DC direct-mounted energy storage topology in this paper is battery friendly and required number of battery cells is only 1/6 of MMC-BESS, greatly saving costs. This paper analyzes the topology structure and working principle of DC direct-mounted energy storage devices, and proposes a design method for the DC direct-mounted energy storage devices. The proposed design method is validated through simulation and prototype experiments. The simulation and construction of a DC 750V prototype have verified that the prototype has achieved good charging and discharging functions for DC energy storage, with small fluctuations in DC grid connected current and good power control effect. This study can provide reference and guidance for the design and application of high-voltage and high-capacity direct current energy storage devices that support offshore wind power to move towards the deep sea in the future.

关键词： Multilevel converters Fluctuations Costs Power control Prototypes High-voltage techniques Wind power generation Topology Batteries Energy storage

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Source-Load Joint Probability Prediction Based on Transformer Model 5

Source-Load Joint Probability Prediction Based on Transforme...

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5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Hu, Pingzhao Shan, Xin Hu, Diangang Fu, Jiayu Wang, Chen Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Cse Ministry of Education Nanjing China Co. Ltd. State Grid Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China State Grid Gansu Electric Power Co. Ltd. Gansu China

ISBN: (纸本)9781665499132

Renewable energy power generation prediction, including wind and photovoltaic power prediction, is usually performed separately from load prediction, while there are significant internal relationships between renewable energy power generation and load consumption. Therefore, exploring the relationship between source and load, and implementing sourceload joint prediction may improve the accuracy of source-load prediction simultaneously. This paper proposes a source-load joint probability prediction method, PCMDT (Probability-CNN-Multi-Decoder-Transformer), based on Transformer model. Firstly, we analyzed the possible aspects of the relationship between renewable energy and load. Then the CMDT(CNN-Multi-Decoder-Transformer) model was used to realize the point prediction of renewable energy power generation and load power. Next, the conditional quantile was obtained by optimizing the quantile loss function (Pinball Loss) to realize the joint probability prediction of source and load. Finally, the model was tested on a public state-level dataset. Comparing the results of source-load joint prediction with non-joint prediction, the proposed model can improve the accuracy of renewable energy and load prediction. © 2022 IEEE.

关键词： Forecasting

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A Day-ahead Scheduling Strategy for Electric vehicles Based on Converted Economical Objective 5

A Day-ahead Scheduling Strategy for Electric vehicles Based ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Bai, Chenhui Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi State Key Laboratory of Smart Grid Protection and Control China School of Electrical Engineering Southeast University Nanjing China Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In recent years, with the rapid development of electric vehicles (EVs), the connection of a large number of EVs to the power grid has adversely affected the economic operation and system stability of the power grid. Therefore, research on the effective dispatch of EVs is of great significance. This paper proposes a day-ahead scheduling strategy for EVs based on converted economical objective, which makes full use of the flexibility of EV loads, takes into account the interests of the grid side and the user side, and reduces the negative impact of EVs connected to the grid. For the limitation of the objective function with the smallest variance, objective function converts the technical index of grid load peak-to-valley difference into an economic index with the smallest charging cost for users, and uses CPLEX to solve the day-ahead scheduling model of small-scale fast charging stations. The calculation example shows that this strategy can effectively reduce the peak-to-valley difference of grid load, which proves the rationality of the strategy. © 2022 IEEE.

关键词： Electric vehicles

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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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Short-term operation planning of power grid flexibility regulation under uncertain risk scenario

Short-term operation planning of power grid flexibility regu...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Xie, Dongliang Wang, Cai Xue, Yusheng Lai, Yening Zhang, Zheng Cai, Linjun Song, Xiaofang Zhang, Huilin Yu, Chen State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414395

Traditional power grids for volatility, uncertainty, usually set a pro rata sufficient spare margin, but when the new energy grid capacity increases, if the volatility is so great, this 'one size fits all' decision is often expensive, too high thermal power start-up and even result in waste of resources. Therefore, based on the study of the multi-scale flexibility control measures of source network load storage, this paper puts forward the operation planning algorithm to reduce the total operation control risk effectively by coordinating and lowering the backup measures. Synergy with the value of various flexible resources in short-term operation planning to prevent and control the risk of wind, light and power outages in power systems, to achieve flexible operation planning. Finally, through the study, the algorithm proposed in this paper is verified that the algorithm can solve the problem of risk prevention and control in operation planning more economically and safely under the condition of large-scale grid-connected new energy. © 2021 IEEE.

关键词： Electric power transmission networks

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Risk Assessment of Cyber Physical Power System considering Attack Model 5

Risk Assessment of Cyber Physical Power System considering A...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Li, Manli Xu, Haibo Xu, Jianbing Ding, Zhao Liu, Qitao Yin, Zhaoyang Nari Group Corporation State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control School of Electrical of Engineering Southeast University Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The close coupling between cyber and physics makes malicious attacks seriously affect the security of power system. Firstly, this paper analyzes the possible attack scenarios, establishes the attack graph model, and proposes the calculation method of the attack probability. On this basis, combined with the security and stability control business, the impact on the power primary system is analyzed, and the risk assessment method of malicious attack is proposed. Finally, an example illustrates the improvement of cyber - physical analysis, and proves that cyber - physical analysis technology has a good application prospect. © 2022 IEEE.

关键词： Risk assessment

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