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Accurate Distance Measurement Method of Single-Phase Ground Fault of power grid Feeder with Load Division Based on Fault Secondary Discrimination

Accurate Distance Measurement Method of Single-Phase Ground ...

引用

International Conference on power and Energy Technology (ICPET)

作者： Yunxiang Cheng Xiangbo Liu Sen Wang Fang Gao Hao Li Zhengchen Tao Power Supply Service Command Center State Grid Rizhao Power Supply Company Rizhao China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

In order to solve the problem of low accuracy of traditional fault location method when the feeder of distribution network contains load branches, this paper proposes an accurate fault location method for single-phase grounding fault of feeder in distribution network with load branches based on fault secondary discrimination. By analyzing the feeder fault recording data, the fault point is identified twice to determine whether the fault point occurs on the load branch. According to different fault location, the voltage of the fault point is calculated by using the voltage and current of the two ends of the fault section. The voltage of the calculated fault point should be equal. The objective function of the minimum voltage difference of the fault point is written, and the fault distance x under the minimum voltage difference is obtained. The simulation model of 10KV distribution network is built on PSCAD, which verifies the accuracy of the ranging algorithm and has certain ability to resist transition resistance, which has certain engineering practice value.

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Adaptability Study on Out-of-Step Separation Devices of Complex Multiinfeed AC/ DC power Systems

Adaptability Study on Out-of-Step Separation Devices of Comp...

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2021 International Conference on power System Technology, powerCON 2021

作者： Chen, Yong Chang, Dongxu Zhu, Yihua Zhu, Yukun Guo, Hengdao Li, Shengnan Electric Power Research Institute Ltd. of Yunnan Power Grid Co. KunMing China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China

ISBN: (纸本)9781665407373

The power flow distribution of the GuangxiGuangdong AC transmission section (GX-GD section) has changed greatly as Kunliulong and Lugaozhao three-terminal HVDC projects have been put into operation, and it is necessary to study on the adaptability of out-of-step separation devices. Based on the real primary system, an equivalent system model is proposed in this paper which can accurately locate the oscillation center and calculate the minimum voltage at the measuring point. Dynamic real-time simulation is carried out for various types and different principles of out-of-step separation devices. Typical problems such as unreliable out-of-step locking criterion in the fault process and device refusing to move when the oscillation center is located at the device installation point are found and solved At the same time, based on the power grid panoramic simulation test technology and the actual configuration of out-of-step separation devices, the problems in the coordination of out-of-step devices near the GX-GD section are comprehensively studied, and the suggestions of putting the wide area out-of-step separation system into operation as soon as possible are put forward. The improvement and optimization measures proposed in this paper have been applied in the real system. © 2021 IEEE.

关键词： Electric load flow

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Simulation Testing of Large-Scale grid-Connected Wind power with Energy Storage System Based on Active Support Performance Evaluation Indices

Simulation Testing of Large-Scale Grid-Connected Wind Power ...

引用

Electrical Engineering and Automation (IFEEA), International Forum on

作者： Yihua Zhu Yun Hu Liang Tu Mingzhang Su Chao Luo State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

This paper establishes simulation modeling for large-scale grid connected wind power with energy storage system (ESS). The conventional grid-following (GFL) based ESS is used as a reference object to test the active support performance of large-scale grid-connected wind power with grid-forming (GFM) based ESS with active support performance evaluation indices in different scenarios. (1) Small disturbance evaluation indices: The point of common coupling (PCC) frequency/voltage drop depth and recovery time. (2) Large disturbance evaluation indices: The PCC frequency/voltage drop depth and rise height after fault removal. The output active/reactive power drop depth and rise height/recovery time after fault removal. (3) Island capability evaluation indices: The PCC frequency/voltage fluctuation amplitude at the moment of switching and system stability after switching.

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Calculation and Analysis Method of power Quality in Wind-power-storage Combined System Based on ETAP

Calculation and Analysis Method of Power Quality in Wind-pow...

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New Energy and power Engineering (ICNEPE), International Conference on

作者： Yi Song Hong Hu Zhen Pan Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning Guangxi China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning Guangxi China Guangxi Power Grid Co. Ltd Nanning Guangxi China

The increasing integration of expansive wind farms into the power grid, along with the widespread implementation of energy storage on the grid, has led to a growing focus on the power quality issue within the combined wind power storage system. Therefore, this paper analyzes the power quality of the wind-power-storage combined system from the aspects of harmonic analysis, voltage fluctuation, and power flicker, aiming at the wind power injection and energy storage access to the power system, and proposes an ETAP-based power quality calculation and analysis method for the wind-power-storage combined system. Based on a combined wind power storage system, the method proposed in this paper is simulated and analyzed by using ETAP software to calculate the harmonic content, voltage fluctuation, and power flicker value of the system. The simulation results show that the method proposed in this paper can be effectively used to analyze and evaluate the power quality problems of the combined wind power storage system.

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grid-Forming Photovoltaic-Energy Storage System with Higher Flexibility Based on DC-Link Voltage Synchronization control

Grid-Forming Photovoltaic-Energy Storage System with Higher ...

引用

Energy Storage and Conversion (ISESC), CPSS & IEEE International Symposium on

作者： Mingkang Wu Xingyu Feng Yihua Zhu Chenchen Wang Chao Luo Kai Li Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Electric Power Research Institute China Southern Power Grid Guangzhou City Guangdong Province China School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (数字)9798350380514

ISBN: (纸本)9798350380521

As the grid strength gradually weakens, there is an urgent need to enhance the weak grid adaptability and precise control capability of photovoltaic-energy storage (PV-ES) systems. This paper analyzes the basic principles of the PV-ES virtual synchronous generator (PV-ES VSG) control scheme under the common DC bus. A flexible control scheme for grid-connected PV-ES systems is proposed based on DC-link voltage synchronization control (DVSC). Compared to existing PV-ES VSG control schemes, the proposed scheme can significantly improve the control flexibility of the energy storage and increase the diversity of its control algorithms, while maintaining similar power support capabilities and grid-connected performance. This improvement not only optimizes the performance of the energy storage unit in the power grid, but also reduces its burden and pressure on DC bus voltage control. Simulation results based on MATLAB/Simulink and the experiment results based on the Hardware-In-Loop (HIL) platform validate the effectiveness and rationality of the proposed scheme. The comparison with the PV-ES VSG also shows the advantages of the proposed scheme.

关键词： Photovoltaic systems Simulation power system dynamics Frequency diversity Synchronous generators Synchronization Voltage control Frequency control Energy storage grid forming

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Bayesian Probability intelligent Forecasting Model Based on Rainfall during Flood Season

Bayesian Probability Intelligent Forecasting Model Based on ...

引用

Information Science, Parallel and Distributed Systems (ISPDS), International Conference on

作者： Peng Zeng Wei Zhang Yangjun Zhou Guohui Wei Guangxi Meteorological Disaster Prevention Technology Center Nanning China Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Guangxi Power Grid Equipment Monitoring and Diagnosis Technology Innovation Center Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China Customer Service Center of Guangxi Power Grid Co. Ltd Nanning China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

In order to make better use of the revised ensemble probability forecast based on the information of the historical prior probability precipitation distribution function, based on the Bayesian probability decision theory, this paper used the actual rainfall data from 1981 to 2010 in Xijiang River Basin and the European ensemble forecast products from April to September in 2016 as the prior information, and established Bayes based probability prediction model for heavy rain in Xijiang River Basin to correct the European ensemble probability prediction products and to carry out the grading test. Bayesian methods are more accurate than other methods, making it easier to establish predictive models. From the results of forecasting experiments, it can be seen that the ensemble probability forecasting product modified by the Bayesian method can improve the forecasting ability of heavy rain in flood season. Except for September, the Brier scores (BS) of other months in flood season within 24-72 hours are better than those of ensemble probability forecast, and the possibility of a false heavy rain forecast can be reduced to a certain extent; there is a monthly difference in the distribution of the true skill statistic (TSS) high score areas in pre-flood season: with the increase of precipitation intensity and scope from April to June, the scores of most river basins increase. In conclusion, this work can provide a reference for forecasters to carry out the prediction of heavy rainfall in the Xiiang River Basin.

关键词： Information science Rain Decision theory Europe Predictive models Bayes methods Rivers

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Energy Storage Sizing for IES Considering Carbon Trading and Demand Response

Energy Storage Sizing for IES Considering Carbon Trading and...

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IEEE International Conference on power and Energy Applications (ICPEA)

作者： Lipeng Zhang Kuan Cao Yuwen Li Jie Gao Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Development Planning Department State Grid Weihai Power Supply Company Weihai China

An optimal energy storage sizing method for integrated energy system (IES) considering carbon trading and demand response is presented in this paper. Firstly, to effectively limit carbon emissions, a reward-penalty laddered carbon trading model is designed to convert carbon emissions into system costs or revenues. Secondly, the integrated demand response (IDR) model for electrical-cold-heat loads is established based on time-of-use price to enhance the operational flexibility and economy. Then, based on these two sub-models, an optimal energy storage sizing model is built to minimize the total life cycle cost including investment, operation and carbon trading cost. Finally, the simulation results indicate that a successful balance between low-carbon and economy can be achieved by the proposed method.

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A Distributionally Robust Optimal Allocation Method of Energy Storage for Resilience Enhancement of Distribution Network

A Distributionally Robust Optimal Allocation Method of Energ...

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Energy Technologies for Future grids (ETFG), IEEE International Conference on

作者： Kuan Cao Yutian Liu Chunyi Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Development Planning Department State Grid Shandong Electric Power Company Jinan China

To solve the problem of active power imbalance in distribution network with high penetrations of photovoltaic (PV) under extreme weather, the paper proposes a distributionally robust optimal allocation method of energy storage considering extreme scenarios. Firstly, considering that the effect of energy storage on enhancing the resilience of distribution network is strongly related to its location, resilience indexes based on node evaluation are established to select the installation sites of energy storage. Secondly, in view of the correlation and randomness of PV output and load, the typical scenarios with the empirical probability distribution are generated based on Frank Copula joint probability distribution function. Then, Kullback-Leibler divergence is utilized to characterize the probability distribution ambiguity set of the typical scenarios. Based on the ambiguity set, a two-stage distributionally robust optimization model for energy storage capacity is established to minimize the cost of energy storage investment and distribution network operation. For further improving the resilience, an operational resilience index as a chance constraint considering extreme scenarios is embedded into the model. Finally, the case study shows that the proposed method can effectively improve PV accommodation capacity of distribution network and reduce load loss in extreme scenarios.

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A Model-driven Early Warning Approach for Transmission Lines Failure under Wind Storms

A Model-driven Early Warning Approach for Transmission Lines...

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Sustainable power and Energy Conference (iSPEC)

作者： Haoran Chen Shibin Bai Zhihao Tian Gang Liu Changgang Li Qiulong Ni Chang Wu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Ningxia Electric Power Corporation Yinchuan China State Grid Zhejiang Electric Power Corporation Hangzhou China State Grid Quzhou Power Supply Corporation Quzhou China

The frequency and intensity of extreme wind storm events are gradually increasing due to global climate change, posing serious challenges to the security and stability of the power grid. Under this background, this paper proposes a model-driven early warning approach for transmission lines failure under wind storms. The mapping relationship between wind speed and line failure probability is established. Risk assessment is carried out for scenarios with high failure probabilities, and the early warning information is released. Case study is conducted based on the New England 39-bus system, and the issued early waring information can offer decision-making references for dispatchers during the storm.

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Wind and PV power Ramp Events Prediction Based on Long Short-Term Memory Network

Wind and PV Power Ramp Events Prediction Based on Long Short...

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Sustainable power and Energy Conference (iSPEC)

作者： Zengwei Wang Zhendong Li Yutian Liu Huan Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China. State Grid Shandong Electric Power Research Institute Jinan China.

With the increasing penetration rate of renewable generation, the challenges arising from its randomness and intermittent nature are becoming more pronounced. In particular, wind and photovoltaic power ramp events pose a serious threat to the secure and stable operation of power systems, and even lead to frequency instability and load shedding. Based on the long short-term memory neural networks (LSTM), this paper proposes a novel renewable power ramp events (RPREs) forecasting approach. First, filter the key tie-lines. Second, the LSTM network was driven by the known time series of wind, PV, load, and tie-line power to forecast the tie-line power for the next hour, thereby determining the adjustable capacity of the tie-line. Finally, the regulatory capability of the grid is considered to judge the occurrence of a power ramping event. Case study demonstrates that the proposed method can effectively predict power ramping events and meets the requirements of online assessment.

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