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Novel Differential Protection Approach of UHV AC Transmission Lines Based on Tellegen's Quasi-power Theorem

IEEE TRANSACTIONS ON power DELIVERY 2022年第2期37卷 1264-1274页

作者： Liu, Shiming Wang, Bo Zhao, Yongsen Zhang, L. L. Jiang, L. Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China South China Univ Technol Sch Elect Power Engn Guangzhou 510640 Peoples R China Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

When current differential protection is applied to an AC transmission line, synchronous sampling at the two ends is required. The use of GPS synchronization increases the difficulty and cost of project implementation while the use of 'ping-pong' synchronization requires that the communication channel has equal transmission and reception delay. To overcome the impact of these issues, power differential protection has been proposed. However, power differential protection cannot fully identify the fault zone for solid single-line-to-ground fault. This paper proposes a novel differential protection approach based on the Tellegen's quasi-power theorem. The approach retains the advantages of current differential protection. Meanwhile, it is not affected by load condition and distributed capacitance. This paper also proposes a time synchronization method based on the Tellegen's quasi-power theorem to calculate and correct the time synchronization error. Therefore, the proposed pilot protection has a high synchronization accuracy and has no requirement on the communication delay. In this paper, different simulation models are established by using MATlab/Simulink and PSCAD and extensive simulation studies verify the effectiveness of the proposed protection approach and time synchronization method.

关键词： Circuit faults power transmission lines Synchronization Impedance Transmission line measurements Equivalent circuits Relays Tellegen's quasi-power theorem differential protection ultra-high voltage protection relay

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Resilience-Oriented power Transmission system Restoration Considering Cyber and Physical Equipment Damage Based on Monte Carlo Tree Search and Milp

SSRN

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SSRN 2024年

作者： Sun, Runjia Liu, Yutian Gu, Xueping Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Department of Electrical Engineering North China Electric Power University Baoding071003 China

Efficient power transmission system restoration after natural disasters contributes to power system resilience enhancement and reliable power energy supply. The destruction of cyber and physical equipment caused by natural disasters leads to complex and unpredictable power outages. To deal with power outages with cyber and physical equipment damage, an online collaborative decision-making method coordinating damage repair and restoration dispatch is proposed for rapid power transmission system restoration. Reinforcement learning and mathematical programming are combined to realize domain knowledge-guided intelligent search for effective decision-making. Firstly, a collaborative decision-making framework is established to guide online coordination between damage repair and restoration dispatch for the unified goal of resilience enhancement. Secondly, to make damage repair plans based on real-time information, an online decision-making method combining Monte Carlo tree search with mixed-integer linear programming is proposed considering the influence of damage repair on restoration dispatch. Thirdly, to make restoration dispatch plans based on real-time information, model predictive control is adopted for online rolling optimization of restoration dispatch, which considers the change of cyber and physical equipment status caused by damage repair. Finally, simulation results of the New England 10-unit 39-bus test system and a practical transmission system in China demonstrate that the collaborative decision-making method can make power transmission system restoration plans by juggling the restoration efficiency and computation speed and deal with uncertain repair emergencies by online step-by-step decision-making. © 2024, The Authors. All rights reserved.

关键词： Restoration

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Review of Research on New Energy Ramp Events

Review of Research on New Energy Ramp Events

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

作者： Wang, Chao Lin, Hong Yang, Ming Fu, Xiaoling Xinjiang Univ Sch Elect Engn Urumqi Peoples R China Changji Univ Sch Energy & Control Engn Changji Peoples R China Xinjiang Univ Sch Elect Engn Urumqi Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China

ISBN: (纸本)9798350339345

With the massive access of new energy represented by wind power and photovoltaic to the power system, the new energy ramp events on the secure and stable operation of the power grid have brought huge challenges. The ramp events are reviewed from four aspects: the causes, definitions, prediction methods and evaluation indicators of ramp events. Firstly, the causes of wind power ramp events(WPRE) and solar power ramp events(SPRE) are analyzed, and the common definitions, advantages and disadvantages of ramp events are compared. Then, according to the form of prediction results, the methods of deterministic ramping prediction and uncertain ramp prediction are summarized. On this basis, the commonly used ramp evaluation indexes are summarized. Finally, the prediction of new energy ramp events is prospected.

关键词： new energy ramp events ramp prediction evaluating indicator

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A control Strategy Based on Deep Reinforcement Learning Under the Combined Wind-Solar Storage system

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2021年第6期57卷 6547-6558页

作者： Huang, Shiying Li, Peng Yang, Ming Gao, Yuan Yun, Jiangyang Zhang, Changhang Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Wuxi Elect Power Supply Co State Grid Jiangsu Elect Power Co Wuxi 214061 Jiangsu Peoples R China

In a deregulated environment, the renewable energy producers will face the challenge of how to increase their revenues under uncertainties of power generation and time-varying electricity price. In traditional power network scheduling, prediction and optimization are two independent processes, which easily leads to information loss and modeling error. To deal with the uncertainty and realize an end-to-end controller, this article proposes an energy storage system control model (ESSCM) in the scene of the combined wind-solar storage system. The proposed ESSCM using deep reinforcement learning (DRL) algorithm is trained by interacting with the massive environment of a power grid without requiring the assumption on the uncertainties. It learns from scratch to realize the coordination operation of with wind power and photovoltaic power in a combined system, further maximize the benefits of the combined system in the electricity market. One state-of-the-art DRL algorithm, namely double deep Q-network, is used to formulate the proposed ESSCM. Numerical results illustrate that the proposed approach can effectively accommodate the uncertainty and bring high revenues to the combined system.

关键词： Uncertainty Renewable energy sources Wind power generation Electricity supply industry Wind farms Process control Reinforcement learning control strategy deep reinforcement learning energy storage system photovoltaic (PV) power wind power

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Analysis of Fault Characteristics and Distance Protection Adaptability for VSC-HVDC-Connected Offshore Wind Farms 5

Analysis of Fault Characteristics and Distance Protection Ad...

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5th Asia Energy and Electrical Engineering Symposium (AEEES)

作者： Peng, Fang Gao, Houlei Miao, Weiying Feng, Xinchi Xu, Bin Wu, Yitong Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China State Grid Hangzhou Power Supply Co Substn Maintenance Ctr Hangzhou Peoples R China State Grid Nanjing Power Supply Co Nanjing Peoples R China Shandong Univ Sch Elect Engn Jinan Peoples R China

ISBN: (纸本)9781665490542

With the characteristics of low loss, low harmonic content and large transmission capacity, voltage source converter based high voltage direct current transmission (VSC-HVDC) has become the focus of the development for large-capacity and long-distance power transmission system connected with offshore wind farms. However, since the power supplies on both sides are controlled, the fault characteristics are changed, and the performance of the traditional distance protection is influenced. Based on the control strategy, the amplitude and phase angle of the equivalent positive and negative sequence impedances at the two sides of the transmission line are analyzed, and the current phasor expressions of the wind farm side and the VSC-HVDC side of the faulted line are derived. Then the adaptability of distance protection using power frequency component (DPPFC) of transmission line for VSC-HVDC-connected offshore wind farm is analyzed under different fault conditions. The results show that the amplitude and phase angle of the equivalent positive and negative sequence impedances of the wind farm and the VSC-HVDC system are affected by the control strategy of the converter and the fault conditions. The DPPFC is not suitable for VSC-HVDC-connected offshore wind farm system. The ability to avoid the effect of fault resistance of the DPPFC at the wind farm side gets worse. The simulation conducted by EMTP-RV verifies the effectiveness of the analysis.

关键词： adaptability analysis distance protection offshore wind farm transmission line VSC-HVDC

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Short-Term Electricity Load Forecasting Based on Back Propagation Neural Network Considering key Meteorological Factors

Short-Term Electricity Load Forecasting Based on Back Propag...

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Electrical Engineering and Green Energy (CEEGE), International Conference on

作者： Hankun Liu Lizheng Chen Xiaohan Shi School of Information and Electrical Engineering Shandong Jianzhu University China Key Laboratore of Power System Intelligent Dispatch and Control Shandong University China

power load forecasting has an important impact on the safe dispatch of the electric grid and the operation of the national economy. A method based on the back propagation neural network was proposed and considered the key meteorological factor to improve the accuracy of electricity load forecasting. Firstly, this paper analyzed the influence of different meteorological factors on electricity load. Secondly, key meteorological factors and historical electricity loads were used as input vectors to the temporal convolutional network for electricity load forecasting. The results showed that considering meteorological factor could effectively improve the accuracy of load forecasting.

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Optimal dispatch for Cross-Regional Integrated Energy system with Renewable Energy Uncertainties: A Unified Spatial-Temporal Cooperative Framework

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SSRN 2023年

作者： Zhang, Zhenwei Wang, Chengfu Wu, Qiuwei Dong, Xiaoming Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Shandong Province Jinan250061 China Technical University of Denmark Denmark

Cross-regional energy sharing is a promising way to alleviate the imbalance in energy distribution. However, there is a risk that uncertain fluctuations of intermittent renewable energy sources (RES) could be transmitted across regional transmissions, resulting in large-scale system economic inefficiency and security concerns. To this end, a unified spatial-temporal cooperative framework for integrated energy system, which considers the coordination between intra-regional multi-energy coupling and cross-regional multi-agent-system energy sharing, is proposed in this paper. First, in temporal dimension, a multi-time-scale stochastic decision-making model is established based on stochastic model predictive control (SMPC). Thus, slow-response units are arranged to gain economic goals in day-ahead stage and the closed-loop rolling adjustment is implemented on fast-response units to achieve accuracy supply-demand balance in real-time stage. Second, in spatial dimension, a fully distributed dispatch approach is adopted to address information sharing barriers, which only requires neighbouring information and considers consistency of boundary control variables on border lines. Finally, to improve the computational efficiency, the established complex time sequential model is decomposed into a set of time-discrete parallel sub-problems, using the optimal condition decomposition (OCD) technique. Simulation results on a cross-regional test system demonstrate the superiority of the proposed framework in operational economy and RES utilization. © 2023, The Authors. All rights reserved.

关键词： Computational efficiency

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ROBUST OPTIMAL SCHEDULING FOR DISTRIBUTED ENERGY STORAGE system CONSIDERING UNCERTAIN FREQUENCY CHANGE

ROBUST OPTIMAL SCHEDULING FOR DISTRIBUTED ENERGY STORAGE SYS...

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CIRED 2022 Shanghai Workshop

作者： Cao, Yongji Zhang, Hengxu Zhang, Xiaoning Li, Changgang Qin, Hao Gao, Zhimin Centre for Electric Power and Energy Department of Electrical Engineering Technical University of Denmark Kgs. Lyngby Denmark Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781839538391

With the rapid development of distributed renewable energies, the number and severity of the active power disturbances that affect frequency stability have increased. The distributed energy storage system (DESS) characterized by high flexibility and dispatchability can provide distribution network with frequency regulation services after disturbances. This paper proposes a robust optimal scheduling approach for DESSs considering uncertain frequency changes. The concept of the probabilistic transient frequency deviation security margin (PTFDSM) is presented to quantify the power deficit that the system can tolerate. And an extended system frequency response model is employed to obtain the PTFDSM. Then, a robust optimization model is established to minimize the network loss and maintain the operating point of DESSs within the PTFDSM for frequency stability. The AC power flow constraints are introduced into the optimization model. And the second-order cone relaxation method is used to deal with the nonlinear constraints through relaxation variables. Based on the column-and-constraint generation method, the relaxed second-order cone optimization model is solved, and scheduled DESS power is attained. A case study is carried out to verify the effectiveness of the proposed approach. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Energy storage

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Screening of Areas with High Risk of Short-Circuit Current Exceedance in power systems with Renewable Energy Integration

Screening of Areas with High Risk of Short-Circuit Current E...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Jian Wang Haoran Chen Hang Qi Changgang Li Wei Dong Yi Lu Wen Hua Zhengyang Zhou Longfei Wang Ying Cheng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Zhejiang Electric Power Co. Ltd. Research Institute Hangzhou China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

The efficient short circuit calculation is the basis of short circuit current control. Commonly, the iterative calculation method of short-circuit current is adopted in power systems containing renewable energy sources. However, the detailed short-circuit current screening for all areas in power systems is time-consuming. To address this problem, this paper proposes an efficient screening method for areas with high risk of short-circuit current exceedance. Firstly, this paper builds the short-circuit models of synchronous generator and renewable energy source. Then, an efficient approximate calculation method of the maximum short-circuit current is proposed. Finally, a screening method for high-risk areas with short-circuit current exceeding limit is proposed, and an index of screening performance is defined. The validity of the proposed method is verified with a modified New England 39-bus power system.

关键词： Electrical engineering Renewable energy sources power transmission lines Short-circuit currents Asia Synchronous generators power systems

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Iterative Linearization Approach for Optimal Scheduling of Multi-Regional Integrated Energy system

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FRONTIERS IN ENERGY RESEARCH 2022年 10卷

作者： Tian, Hang Zhao, Haoran Liu, Chunyang Chen, Jian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

It is challenging to deal with the optimal scheduling problem of the multi-regional integrated energy system (MIES) precisely and efficiently due to its multi-dimensional nonlinear characteristics. This article proposes an iterative linearization approach to solve the complicated and nonlinear MIES optimization problem with a well-balanced trade-off between accuracy and computation efficiency. In particular, the proposed approach is a combination of the modified piecewise linearization (PWL) tactic and the sequential linear programming (SLP) algorithm. The modified PWL method is developed to improve the speed-accuracy trade-off of the linearization, while the SLP algorithm is used to linearize the multi-dimensional nonlinear functions and narrow the approximation error iteratively. In this way, accurate but highly nonlinear formulations such as heat network models in the variable flow and variable temperature (VF-VT) mode can be considered in the optimization and solved efficiently. Finally, the effectiveness of the given approach is validated in a day-ahead optimal scheduling case of a four-region MIES.

关键词： multi-regional integrated energy system optimal scheduling piecewise linearization sequential linear programming energy hub

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