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

作者： Fusuo Liu Hui Huang Haijun Chang Xuelian Wu Chao Wang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation/State Grid Electric Power Research Institute Nanjin China

With the large-scale access of new energy sources, the operation mode and the uncertainty factors of the power grid increase, meanwhile the short-term power shock has an increasing impact, which exacerbates the complexity of the system frequency response characteristics and the difference in space-time distribution. Based on the analysis of principles and adaptability of emergency control and correction control, this paper comprehensively considers the operation mode and new energy access, and proposes a centralized control decision-making method based on model and trajectory driving from the perspective of global frequency control. The method also considers the continuously adjustable control resources and low voltage ride through of new energy. Finally, the practicality of the proposed method is verified based on the actual power grid simulation.

关键词： Low voltage Analytical models Adaptation models Uncertainty Decision making Power grids Trajectory

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A Novel Method for Directly Calculating Dynamic Equivalent Generator Parameters

A Novel Method for Directly Calculating Dynamic Equivalent G...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Yuqiang Hou Wei Zhao Wei Li Ling Zhu NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control Nanjing China

The dynamic equivalent of large power grid needs to calculate the dynamic aggregation of equivalent generator parameters for a given synchronous units group. In this paper, the weighted aggregation method commonly used in engineering is reviewed, and the deficiency of capacity weighting method is pointed out, then a direct parameters calculation method for dynamic equivalent generator based on EEAC and the unit-grid phasor diagram is proposed. Its key techniques are to using the complementary-cluster center-of-inertia relative motion transformation (CCCOI-RM) provided by the EEAC method, the initial value of the power angle for corresponding equivalent generator of the coherent generators group at the fault moment is calculated, and the impedance parameters of the equivalent generator are solved step by step by different forms of unit-grid phasor equations according to the feature that the power angle cannot be changed abruptly before and after the fault moment. Compared with the weighted aggregation calculation method, the proposed method is simpler and has a clearer physical concept. Simulation results based on the real power grids verify the effectiveness of the proposed method.

关键词： Simulation Power system dynamics Voltage Wind power generation Generators Mathematical models Synchronous generators

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Stability control System for Power grid Security Defense Level Improvement

Stability Control System for Power Grid Security Defense Lev...

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smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Jingjing Ruan Peng Chen Junnan Chen Xiaotong Xu Jian Zhang State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China

The rapid development of UHVDC, new energy and power market enhances significantly the uncertainty of power grid. The control strategy of stability control system calculated offline cannot cover the complex and changeable power grid operation situation. A hierarchical closed-loop stability control system is proposed to meet the stability control requirements under multiple and cascading faults, including dispatching center station, coordination control master station and regional control master station The dispatching center integrates natural disaster information to generate high-risk faults and searches online control strategy based on controllable resources acquired by coordination control master station. Coordination control master station stores control strategy of high-risk faults, identify high-risk faults in different places, and issue the control strategy. Regional control master station is responsible for the implementation of high-risk faults control strategy. The analysis results demonstrate that the system can improve the security defense level of power grid. The proposed method is proved to be fast and effective through the analysis of a practical power grid example.

关键词： Uncertainty Power system stability control systems Search problems Power grids Stability analysis Dispatching

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Research on Current Transfer Arc-Extinguishing Technology of Distribution Network 3

Research on Current Transfer Arc-Extinguishing Technology of...

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3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019

作者： Xu, Yi Li, Jianhua Zeng, Xiangjun Yu, Kun Che, Xiaotao Liu, Fang Changsha University of Science and Technology Hunan Province Key Laboratory of Smart Grids Operation and Control Changsha China State Grid Luoyang Power Supply Company Luoyang China

ISBN: (纸本)9781728131375

The premise of reliable arc extinguishing performance by current transfer arc extinguishing technology is to accurately identify the fault phase. This paper analyzes the neutral point voltage and the relative ground voltage variation law when single-line-to-ground (SLG) fault occurs, and obtains a SLG fault phase selection method. Then, an improved scheme for the fault-phase misjudgment and anti-phase short circuit of the current transfer arc-extinguishing device is proposed to improve its reliability. Finally, the action flow of the current transfer arc extinguishing device is described. The feasibility of the principle of current transfer arc suppression technology and the rationality of the action flow are verified by simulation analysis. The results show that the current transfer arc extinguishing technology can theoretically achieve the purpose of quickly eliminating the arc grounding fault, and help to improve the power supply reliability of the power distribution system. © 2019 IEEE.

关键词： Electric grounding

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Distributed Power Service Restoration Method of Distribution Network with Soft Open Point

Distributed Power Service Restoration Method of Distribution...

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2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 2020

作者： Sun, Shoujing Cong, Wei Sheng, Yaru Chen, Ming Wei, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin China Qingdao Power Supply Company Shandong Electric Power Company State Grid Qingdao China

ISBN: (纸本)9781728143033

Soft open point (SOP) is applied to the power service restoration of the distribution network because of the advantages of flexible control mode and optimizing the operation of the distribution network. Taking advantage of parallel collaborative between independent peer smart terminals unit (STU) in distribution network and information interaction ways of working, distributed power service restoration method of distribution network considering soft open point is put forward, which brings the superiority of SOP in the aspect of power service restoration into full play and avoids the problem of large information collection and calculation in the centralized power service restoration method. Firstly, the structure, control mode and power service restoration model of SOP are introduced, and then the distributed power service restoration method of distribution network with SOP is described, which mainly includes distributed network topology search and the expression and calculation of constraint conditions. Finally, a numerical simulation is carried out to verify the effectiveness of the proposed method. © 2020 IEEE.

关键词： Restoration

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Optimal multi-time scale coordination method for electricity-heating integrated energy system scheduling

Optimal multi-time scale coordination method for electricity...

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2020 International Conference on smart grid and Energy Engineering, SGEE 2020

作者： Lin, Zhuoran Wang, Shouxiang Wang, Shaomin Han, Aoyang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Qingdao Electric Supply Company Qingdao Shandong266000 China

Considering that different energy subsystems have different control characteristics in equipment operations, an optimal multi-time scale coordination method for electricity-heating integrated system scheduling is proposed. It merges three optimal scheduling models based on three-time scales of day-ahead, rolling, and real-time. The coordinated optimization of electricity and heating energies with the same dispatch instruction is fulfilled in day-ahead scheduling. And all feasible scheduling instruction cycles are traversed in the rolling stage to improve the stability of system economic operation. The calculation examples show that the proposed overall strategy for multi-time scale scheduling can achieve multi-energy complementarity, and the optimization results have less deviation from the actual load. © Published under licence by IOP Publishing Ltd.

关键词： Scheduling

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Dynamic reconfiguration of three-phase imbalanced distribution networks considering soft open points

Energy Conversion and Economics

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Energy Conversion and Economics 2023年第5期4卷 364-377页

作者： Ji, Xingquan Zhang, Xuan Ye, Pingfeng Zhang, Yumin Li, Guanglei Gong, Zheng College of Electrical Engineering and Automation Shandong University of Science and Technology Shandong Qingdao China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Jinan China State Grid Weifang Power Supply Company Shandong Weifang China

The characteristics of three-phase imbalances are present in medium- and low-voltage distribution networks. Integrating single-phase distributed generation (DG) exacerbates network imbalances, resulting in increased power losses and potential safety hazards. To address these issues, a dynamic reconfiguration strategy (DNR) for three-phase imbalanced distribution networks, considering soft open points (SOP), has been proposed. The objective is to alleviate the three-phase imbalance and minimize the operational costs of the distribution network. Within the reconfiguration strategy, the constraints of DG current imbalance in practical system operations are considered. A three-phase imbalanced DNR model that simultaneously considers the constraints of the SOP and DG current imbalances is introduced. This model aims to optimize the operation of all devices, including the SOP, to address the overall imbalance of the distribution network. This enables the authors to transform the non-linear model into a mixed-integer linear programming (MILP) model, significantly improving the solution efficiency. To validate the proposed strategy, simulations of a modified IEEE 34-node distribution system and an actual 78-node distribution system were conducted. The results demonstrate that this strategy offers significant economic benefits and ensures the security of the distribution network. © 2023 The Authors. Energy Conversion and Economics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and the state grid Economic & Technological Research Institute Co., Ltd.

关键词： Dynamic models

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Study on regional hydropower accommodation and improvement measures in power system

Study on regional hydropower accommodation and improvement m...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Li, Zewen Bie, Zhaohong Han, Zifen Li, Xiaofei Zhi, Yong Zhang, Yankai State Key Laboratory of Electrical Insulation and Power Equipment Shaanxi Key Laboratory of Smart Grid Xi'an Jiaotong University Xi'an China State Grid Gansu Electric Power Company Lanzhou China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China Electric Power Research Institute State Grid Gansu Electric Power Company Lanzhou China

ISBN: (纸本)9781538614273

Hydropower is an important part of energy internet, as a principal type of sustainable energy. The promotion of hydropower may help to improve the power source structure and improves the safety, reliability and flexibility of the power system. However, the increasing congestion of the regional hydropower accommodation limits the wider use of hydropower. In this paper, an index system is developed to assess the regional hydropower accommodation. On this basis, an analysis method is proposed to find out the specific reasons of the congestion and the improvement measures by analyzing the relevance of source-load characters and delivery flowgate. The method is proved to be universal and practical through a case study in Western China where the hydropower is the dominant energy. The study is capable to provide necessary suggestions to the safety operation and planning of regional power system and has engineering application value. © 2017 IEEE.

关键词： Internet of Energy

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A Hybrid Simulation Study of the Herding Behavior Effects in the China National Carbon Market

A Hybrid Simulation Study of the Herding Behavior Effects in...

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

作者： Xuetong Chen Jie Huang Shuai Jin Yifei Zhang HengYu Ling State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

ISBN: (纸本)9781665434263

Mitigating climate change is a global consensus. China is aiming to have carbon emissions peak before 2030 and achieve carbon neutrality before 2060. The China national carbon market is one of the key measures to achieve this ambitious “30•60” target. Compliance enterprises, financial institutions, and individual investors are allowed to participate in the national carbon market and the complex trading interactions among these heterogeneous participants will make the market dynamics difficult to predict and analyze, bringing challenges to market design and regulations. Guided by the framework of cyber-physical-social system in energy (CPSSE), this paper constructs a hybrid simulation environment based on the Dynamic Simulation platform for Macro-Energy Systems (DSMES), in order to study the herding behavior effects on carbon market under different scenario settings. The behavior models of different carbon traders such as compliance enterprises, offset developers and financial institutions are analyzed and constructed. Then, the herding behavior effects are studied under different market scenario settings such as the supply of carbon emission allowance (CEA) and carbon offset credits (COC). Finally, key insights are discussed based on multi-scenario case studies, which provide decision support for market design and regulation.

关键词： Climate change Analytical models Atmospheric measurements Conferences Carbon dioxide System integration Particle measurements

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A Practical Method for Generating Day-Ahead Output Probabilistic Scenarios of Multiple Wind Farms Based on K-Shape Clustering

A Practical Method for Generating Day-Ahead Output Probabili...

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IEEE International Conference on Power and Energy Systems (ICPES)

作者： Lin Bo Taishan Xu Mengfu Tu Jinjun Lu NARI Group Co. Ltd.(State Key Laboratory of Smart Grid Protection and Control) Nanjing Chinas

The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in power system dispatching decision-making. Especially for area/ province with abundant wind power resources, where the reliability of the dispatching plan can be strongly affected by the volatility of large amount of wind power. In this paper, a practical method of generating probabilistic scenarios for day-ahead wind power output is proposed for provincial power grid with high proportion of wind power. Firstly, the K-Shape clustering algorithm is used to cluster the wind farm stations, and then the output scenario are generated by using the total wind power forecast value and forecast error probability distribution characteristics of each aggregated station. After arrangement and combination of the aggregated stations’ scenes, the scenario minimization based on probability distance was conducted for clustering reduction to obtain the typical output scenes, and then the typical output scenes were assigned to each station according to the forecast value of the station to obtain the probability output scenes of each station. It is verified by actual power grid data that the scenarios generated by this method can combine with wind power predictions to well depict the random fluctuation of multi-wind farms output and has a good application prospect in the practice of day-ahead dispatching decision making.

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