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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Wang, Manliang Gao, Bingtuan Jiang, Yingwei Tian, Yunfeng Dong, Wenqi Shi, Xuewei School of Electrical Engineering Southeast University Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Hebei Zhangjiakou Scenery Storage and Transmission New Energy Co. Ltd Zhangjiakou China

ISBN: (纸本)9798350346671

The high penetration of renewable energy sources connected to the grid has brought great challenges to the frequency stability of the power system. For the combined wind/pohotovoltaic/storage power station, it is of great significance for better frequency performance to realize the coordination control of active power. Therefore, this paper presents a frequency active support strategy for combined wind/pohotovoltaic/storage power station. By establishing the model of combined wind/pohotovoltaic/storage power station, this strategy applies model predictive control (MPC) to optimize the total active power reference value and the allocation of response power of the combined wind/pohotovoltaic/storage power station. For obtaining better frequency performance, this strategy aims at absorbing wind and solar energy resources and improving the economy of energy storage station. In order to verify the performance of the proposed strategy, it is compared with droop control using MATLAB/Simulink when the load increasing and decreasing respectively. The simulation results clearly show the effectiveness of the active frequency support strategy proposed in this paper. © 2023 IEEE.

关键词： Model predictive control

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Frequency Regulation Market Performance Considering the Complementarity of Wind Park Cluster 6

Frequency Regulation Market Performance Considering the Comp...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Huang, Zirui Zhang, Jiangfeng Teng, Xianliang Zhang, Kaifeng Southeast University School of Automation Nanjing China State Grid Zhejiang Electric Power Research Institute Zhejiang China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350347159

Modern power systems with high penetration of renewable energy enrich the frequency regulation resources by offering more new clean wind and solar energy. In this paper, we present a bottom-top design of wind park's participation in the frequency regulation market considering the complementarity of wind park power outputs. By defining a quantitative complementarity index, we show how the complementarity contributes to the regulation reserve reliability of wind parks and the consistent market performance, and verify the conclusions via numerical analysis. © 2022 IEEE.

关键词： Wind power

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A new approach for calculating the average frequency of power system based on the identification of regional inertia center nodes 2

A new approach for calculating the average frequency of powe...

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2nd International Conference on Electrical Engineering and Computer Technology, ICEECT 2022

作者： Wan, Zhonghui Liu, Fusuo Wu, Xuelian State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing210003 China NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Nanjing210003 China

The grid structure of the modern power system is complex and the space span is large. When the power system is disturbed to generate unbalanced power, the transient distribution process among the various synchronous units leads to the spatiotemporal distribution characteristics of the frequency response of the system. By measuring the generator Frequency and Inertia, the inertia center frequency can be calculated. Based on the two-generator system, the relationship between generator frequency and bus frequency is analyzed. A method for selecting the frequency inertia center node of the local power grid in the power system is proposed, and the inertia center frequency of the system is estimated based on the measured frequency at this point. Taking 10 machines and 39 nodes as an example, the simulation calculation is carried out to verify the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Frequency response

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Parallel Decomposition and Coordination Algorithm for Security Constrained Optimal Power Flow 1

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Xiaoqin, Xia Wei, Xu Zhen, Yuan Xiaotong, Xu NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

In order to improve the online performance of power system control decision-making, this paper proposes a method to resolve the economic optimization problem considering security constraints into a base-case optimal power flow master problem with the objective of minimizing the generation cost and a series of security check sub problems relevant to various faults. A parallel decomposition and coordination algorithm based on adjustable space slices is proposed to avoid alternating iterations. First of all, the adjustable space is sliced to form multiple slicing schemes according to different proportions. Based on the parallel computing platform and the slicing schemes, the primal dual interior point method is used to solve the base-case optimal power flow master problem. Secondly, security check of faults is carried out by parallel computing for different optimized cases. Then, the solution with the minimum cost is chosen from the safe solutions. Finally, the effectiveness of the proposed method is verified by a case of a city power gird in Guizhou province. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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Decision Support System for Adaptive Restoration control of Transmission System

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Journal of Modern Power Systems and Clean Energy 2021年第4期9卷 870-885页

作者： Ze Li Yusheng Xue Haohao Wang Lili Hao School of Electrical Engineering Southeast UniversityNanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChinaand they are also with State Key Laboratory of Smart Grid Protection and Operation ControlNanjingChina School of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingChina

The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of restoration control, a decision support framework for adaptive restoration control of transmission system is proposed, which can support the coordinated restoration of multiple partitions, coordinated restoration of units and loads, and coordination of multi-partition decision-making process and actual restoration process. The proposed framework is divided into two layers, global coordination layer and partition optimization layer. The upper layer partitions the transmission system according to the power outage scenario, constantly and dynamically adjusts the partitions during the restoration process, and optimizes the time-space decision-making of inter-partition connectivity. For each partition, the lower layer pre-selects restoration targets according to the estimated restoration income, optimizes the corresponding restoration paths, and evaluates the restoration plans according to the expected net income per unit of power consumption. During the restoration process, if the restoration operation such as energizing the outage branch fails, the current restoration plan will be adaptively switched to the sub-optimal one or re-optimized if necessary. The framework includes two operation modes, i.e., the on-line operation mode and training simulation mode, and provides an information interaction interface for collaborative restoration with related distribution systems. The effectiveness and adaptability of the proposed framework is demonstrated by simulations using the modified IEEE 118-bus system.

关键词： Transmission system restoration two-layer decision support framework restoration risk and income restoration uncertainty sand table deduction

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Deep neural network based acoustic pattern recognition system for fault localization application

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Applied Mathematics and Nonlinear Sciences 2024年第1期9卷

作者： Cui, Yao Huang, Xin Zhang, Xin Nari Group Corporation State Grid Electric Power Research Institute Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

This paper explores the process of traditional voiceprint recognition, analyzes the traditional GMM recognition algorithm, and proposes a GE2E-based voiceprint recognition algorithm by combining it with the deep neural network. It firstly uses the Bi-GRU network to replace the LSTM network to prevent the lack of semantic information, then adds the SGD algorithm to optimize the speech features, and finally improves the stability and accuracy of recognition by the GE2E loss function. On this basis, a voiceprint recognition system based on GE2E is designed, and the overall performance of the system is tested. Additionally, a voiceprint recognition system is being explored for fault localization. The results show that the recognition accuracy of male voiceprints in the test is at [0.89,0.95], and the recognition accuracy of female voiceprints is at [0.88,0.96], and there is not much difference in the voiceprint recognition accuracy of the voiceprint recognition system for both male and female students, and the overall recognition accuracy is greater than 0.9. When applied in fault location, the error between the measured distance and the actual fault distance is within 0.1 meters, enabling fault location. © 2023 Yao Cui, Xin Huang and Xin Zhang, published by Sciendo.

关键词： Deep neural networks

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Research on control Strategy and Simulation of MMC-HVDC System Based on Battery Energy Storage System

Research on Control Strategy and Simulation of MMC-HVDC Syst...

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Electrical Engineering and control Science (IC2ECS), International Conference on

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

This paper presents a method of applying MMC based on battery energy storage system (BESS) to HVDC system to realize power decoupling control on AC and DC side. Firstly, the basic structure and working principle of MMC-HVDC system based on BESS are analyzed. Then, based on the mathematical equivalent model, the MMC-BESS decoupling control method based on DC power control is derived, and the AC-DC power decoupling control is realized. Finally, a +400kV MMC-HVDC system is built on the RTDS platform, and the proposed control strategy and power decoupling effect are verified. The results show that the MMC-BESS control strategy proposed in this paper is effective. The MMC-HVDC system based on BESS can realize active power decoupling control between AC side and DC side, and the unbalanced power between AC side and DC side can be compensated by the charge and discharge of BESS.

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Improved Droop control for Power grid Considering state-of-charge of Battery Energy Storage

Improved Droop Control for Power Grid Considering State-of-c...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Yuge Chen Zhicheng Li Chaoping Deng Weijun Zhang Shuling Zhang Tongtong Gao Fujian Key Laboratory of Smart Grid Protection and Operation Control Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fuzhou China

The constant droop coefficient (DC) in the traditional f-P and V-Q droop control is not conducive to the state-of-charge (SoC) management of the battery energy storage (BES) system. This paper proposes an improved droop control strategy (DCS) for the power grid which considers both the power frequency adjustment of the power system and the SoC management constraints of the BES. The proposed improved DCS is enabled to adjust the DC according to the SoC status of the BES. Case studies verify the effectiveness of the proposed DCS, which significantly reduces the frequency change deviation in the dynamic process of the weak power grid.

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A Dual-Objective Optimization control Strategy with Markov Forecast for Battery Energy Storage System to Mitigating Wind Farm Fluctuations 6th

A Dual-Objective Optimization Control Strategy with Markov F...

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Gu, Haotian Hou, Kai Jiang, Yingwei Yin, Hang Liu, Jing Zhong, Xu NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Province Nanjing211000 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Province Nanjing211000 China

ISBN: (纸本)9789811671555

In a renewable energy power system dominated by a high proportion of wind power, the configuration of energy storage system is an effective solution to mitigate wind power fluctuations, ensure the safe and stable operation of the grid, and improve the dispatch ability of wind power. This paper proposes a battery energy storage system (BESS) control strategy with the consideration of the impact of future wind power. To achieve maximum bidirectional output capability and minimum output of BESS, multi-objective hybrid optimization model is built on base of first-order low-pass filter’s variable time constant Tf, which contains two weight coefficients c1 and c2 to flexibly adjust BESS output. Markov chain prediction model is introduced to forecast the future multi-step wind power and PSO optimization algorithm is used to obtain the optimal BESS output power in real-time rolling calculation. Finally, the effectiveness of the proposed control strategy is verified through case studies. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Low pass filters

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Automatic Generation Method of Multi-Bays Graph in Power System based on Real-Time Topological Model

Automatic Generation Method of Multi-Bays Graph in Power Sys...

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2022 Global Conference on Robotics, Artificial Intelligence and Information Technology, GCRAIT 2022

作者： Gao, Yuan Chen, Lianjie Si, Peng Su, Yunguang Fang, Caishen Xu, Hua Huang, Kun NARI Technology Co Ltd. Nanjing China NARI Technology Co Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665481922

ISBN: (纸本)9781665481922

Substation supervisory control is an essential part of power grid monitoring system. Besides the power flow between substations, the running states of the devices in substations are important to the staff in power grid. At present, the substation devices with their running states are drawn in electrical bay graphs, which are widely used in the power grid dispatching department. Traditional electrical bay graphs contain devices in only one substation and the drawing process of the graph relies on manual work. In this paper, an automatic generation method of multi-bay graph in power system based on real-Time topological model is proposed. There are two stages in the method. In the first stage, necessary model information is obtained according to topology in real-Time database. In the second stage, the bay features are firstly built in the method and the classification of the bays is achieved by these features. Secondly, a data structure of device tree is proposed and the automatic layout of devices is realized based on the data structure. Finally, automatic wiring of the devices is achieved from the perspective of aesthetic and objectivity. Experimental results show that the graph drawn by the proposed method could not only reflect the actual connection mode and running states of the substation devices but also show the power flow between these substations. The proposed drawing method could reduce manual operations and improve the work efficiency of the power grid staff. © 2022 IEEE.

关键词： Data structures

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