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Coordinated control of Frequency Restoration of Wind power Interconnected power System Based on Distributed Model Prediction

Coordinated Control of Frequency Restoration of Wind Power I...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Xu Lin Qiuyu Lu Peng Zhang Zejian Liu Yangbo Liu Power dispatching and control center of Guangdong Power Grid Co. Ltd Guangzhou China Guangdong Key Laboratory of Clean Energy Technology South China University of Technology Guangzhou China Shenzhen Huagong Energy Technology Co. Ltd Shenzhen China Southern Offshore Wind Joint Development Co. Ltd Zhuhai China

In view of frequency deviation, the existing frequency recovery control methods mainly have two shortcomings. The first disadvantage is that the control strategy within the wind farm is not designed to avoid the occurrence of secondary frequency dips. Aiming at the unsafe dynamic process frequency deviation, a dynamic process frequency recovery control strategy is proposed. Firstly, the predictive control theory and fuzzy theory of distributed models are introduced. Then, each area of the wind power interconnected power system is modeled to further obtain the model of the entire interconnected power system. Subsequently, the frequency recovery control strategy of the system is designed based on the distributed model predictive control. Finally, the effectiveness and superiority of the proposed control strategy are verified in the improved IEEE four-machine two-area system and the improved IEEE 10-machine 39-node system.

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A Theoretical Loss Estimation Method for Distribution Network Based on Typical Equivalent Load Distribution Curve

A Theoretical Loss Estimation Method for Distribution Networ...

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IEEE Innovative Smart grid Technologies - Asia (ISGT Asia)

作者： Yuxi Wang Xuekai Zhang Li Zhang Yijing Ren Xinyan Su Chenhao Ying Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China State Grid Qingdao Power Supply Company Jinan China School of Electrical Engineering Shandong University Jinan China

ISBN: (纸本)9798350399677

In recent years, a large number of distributed resources are connected to the distribution grid, causing frequent fluctuation of net load at each point of the feeder. Such fluctuations bring great difficulties to technical loss calculation. To conquer this problem, this paper proposes a fast calculation method of technical loss of distribution networks based on typical equivalent load distribution curves. First, the equivalent load distribution curve is defined, and the method of establishing the equivalent load distribution curve is given. Then, the k-means algorithm based on the Pearson correlation coefficient is used to cluster the equivalent load distribution curves of feeders under various operating conditions. Moreover, this paper determines the typical equivalent load distribution. Finally, when the load and distributed generation are given, the correlation coefficient between the load and the typical equivalent load distribution is determined according to the corresponding equivalent load distribution curve, and the line loss estimation result can be quickly obtained by using the two typical load distribution curves with the strongest correlation. The proposed method is tested on IEEE 33 node distribution system. Simulation results indicate the proposed method can estimate the technical loss rapidly in a large range within a certain error range.

关键词： Correlation coefficient Fluctuations Simulation Asia Estimation Clustering algorithms Distribution networks

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Influence Analysis of Thermal States on Dynamic Frequency Response for power Systems with High Renewables

Influence Analysis of Thermal States on Dynamic Frequency Re...

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2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Cao, Yongji Zhang, Hengxu Li, Changgang Sun, Leshu Li, Chen Qin, Hao Guo, Qi Zhu, Yihua Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan250061 China State Key Laboratory of HVDC Electric Power Research Institute National Energy Power Grid Technology RD Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China

ISBN: (纸本)9781728191645

As thermal generators are substituted by renewables, the power reserves are decreasing and the influence of boiler thermal states on frequency dynamics becomes more severe. The variations of thermal states can aggravate dynamic frequency response, especially for power systems with high renewables. However, the system frequency response (SFR) model has been widely adopted, but in which the thermal states are neglected. This paper analyzes the influence of thermal states on dynamic frequency response quantitatively. The modified SFR models are built by extending the boiler models with different simplification degrees. Then, from the view of the response amplitude and time, the quantitative indices are established to measure the response trajectories of modified SFR models. And the characteristics of frequency dynamics and the statistic indices of data sequences are utilized to analyze the influences of thermal states and assess the performances of modified SFR models. According to the results of comparative analysis, the neglect of thermal states incurs more optimistic frequency dynamics and impairs the frequency stability of power systems with high renewables. Additionally, the accuracy of the SFR model can be enhanced even with the most simplified boiler model. © 2020 IEEE.

关键词： Frequency response

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Path Planning for Distribution Network Robots with Adaptive Simulated Annealing-Enhanced Artificial Potential Field Method 26

Path Planning for Distribution Network Robots with Adaptive ...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Zhang, Baichao Chen, Xin Chen, Jinge Li, Jinbin Wang, Xiaokai Jian, Xu School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Hubei Fangyuan Dongli Electric Power Science Research Co. Ltd Wuhan430077 China

ISBN: (纸本)9798331521950

In this paper, we propose a hybrid algorithm that combines an improved Artificial Potential Field (APF) method with the Simulated Annealing (SA) algorithm for path planning of an electric power operation robot manipulator in complex distribution grid environments. To address the unreachable target issue inherent in traditional APF, we introduce a distance regulation factor to optimize the repulsive function. This modification allows the manipulator to smoothly approach the target point as it nears, while the repulsion from obstacles gradually decreases. Additionally, to overcome the limitations of the traditional SA algorithm, such as its tendency to get trapped in local minimum solutions and its inefficiency in complex environments, we propose an adaptive temperature rise strategy. This strategy increases the temperature, enhancing the probability of escaping local optimal solutions. When the APF algorithm becomes trapped in a local optimum, the improved SA algorithm is applied to escape the local minimum. Once the local optimum is avoided, the algorithm switches back to APF to continue the path planning process. Simulation results demonstrate that the proposed improved APF-SA algorithm adapts effectively to various complex environments, achieving shorter planning times and higher success rates compared to traditional APF and SA algorithms. It successfully resolves the unreachable target and local minimum problems associated with APF. Finally, the feasibility of the proposed APF-SA fusion algorithm is validated through experiments conducted on an electric power operation robot experimental platform for distribution grid applications. © 2025 IEEE.

关键词： Motion planning

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Multi-task Transient Contingency Screening with Temporal Graph Convolutional Network in power Systems 5

Multi-task Transient Contingency Screening with Temporal Gra...

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2021 5th International Conference on Electrical, Automation and Mechanical Engineering, EAME 2021

作者： Su, Yinsheng Huang, Jiyu Yao, Haicheng Guan, Lin Guo, Mengxuan Zhong, Zhi Department of Power System Operation China Southern Grid Co. Ltd. Guangzhou510641 China School of Electric Power South China University of Technology Guangzhou510641 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China

Rapid transient stability assessment (TSA) is an essential requirement for power system security. In real-world applications, transient contingency screening (TCS) applies TSA approaches to address the pre-defined contingency sets under online operation conditions. TSA by time domain simulation (TDS) is time-consuming, hence we propose a high-speed temporal graph convolutional network (TGCN) that achieves TSA decisions such that a large-scale contingency set can be scanned quickly with enough precision. Based on multi-graph inputs to reflect the transient process, the TGCN utilizes the graph convolutional network (GCN) to extract topology representations and temporal convolution (TC) layers to encode temporal relations. After above graph embedding, two downstream networks are designed for stability classification and critical generator prediction, respectively. Test results on IEEE 39 Bus system demonstrate its superiority over existing models under different operation topologies, fault locations and clearing modes. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Convolution

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Parameter feasible space based analysis of virtual inertia and frequency regulation characteristics of PV-ES integrated generators

Parameter feasible space based analysis of virtual inertia a...

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4th Energy Conversion and Economics Annual Forum (ECE Forum 2024)

作者： Pengfei Li Xunyang Wang Haiyan Qiao Huimin Xu Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin 300384 People's Republic of China State Grid Wuhu Electric Power Supply Company Wuhu 241000 People's Republic of China School of Information and Electrical Engineering Hebei University of Engineering Handan 056038 People's Republic of China

ISBN: (数字)9781837242924

In order to improve the frequency dynamic and steady-state characteristics of the photovoltaic-energy storage (PV-ES) integrated generator connected to the power grid, and provide intuitive guidance for the design of control parameters, a virtual inertia and frequency regulation characteristic analysis method based on parameter feasible space is proposed in this paper. Fully considering the system overall operational requirements, the inherent constraints and interaction with the power system of the PV-ES integrated generator, the constraint indicators such as rate of change of frequency, the maximum frequency deviation after disturbance, the maximum power output of the PV-ES integrated generator, and the frequency modulation energy within 15s are proposed. On this basis, the parameter feasible space of permeability-virtual inertia-primary frequency regulation gain that satisfies the above constraints under different permeabilities is characterized, by which the influence of permeability on control parameters can be revealed, and the optimization design of control parameters can be guided intuitively from the three-dimensional space perspective. Eventually, a model of IEEE 10-machines 39-bus system connected with PV-ES integrated generators is built in PSCAD/EMTDC to verify the effectiveness of the proposed method.

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Non-invasive Load Identification and Decomposition Based on Affinity Propagation and Selected Bayes Classification

Non-invasive Load Identification and Decomposition Based on ...

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International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Zheng Lyu Qi Zhu Haomiao Zhang Jian Shen Lin Zhang Qin Wang Ting Jiang Power Dispatching Control Center State Grid Shanghai Pudong Power Supply Company Shanghai China Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665438926;9781665446099

As power consumption of the demand side in regional distribution network shows a diversified development trend, non-intrusive load monitoring and decomposition (NILMD) helps identify the power consumption characteristics. The detailed load information and energy consumption composition offered by NILMD are helpful for dispatching. NILMD can be realized by collecting either transient or steady-state information. However, obtaining transient information requires high acquisition frequency of sensors and it is impractical for users. By collecting steady-state operation information, this paper achieves state extraction and load decomposition for different types of household appliances through affinity propagation (AP), and selected Bayes classification (SBC) clustering methods. Load identification is realized through maximum likelihood estimation. The effectiveness of the proposed methods is verified by a case study.

关键词： Home appliances Maximum likelihood estimation power demand Distribution networks Sensor phenomena and characterization Market research Steady-state

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Transformer Fault Probability Calculation Based on Analytic Hierarchy Process

Transformer Fault Probability Calculation Based on Analytic ...

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Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), International Conference on

作者： Xiao Cheng Xinyi He Ming Dong Yuanfu Xu Zhongchen Yuan Power Dispatching and Control Center State Grid Corporation of China BeiJing China The State Key Laboratory of Electrical Insulation for Power Equipment Xi’an Jiaotong University Xi’an China Power Dispatching and Control Center State Grid TianJin Electric Power Company TianJin China Tianjin Key Laboratory of Internet of Things in Electricity Tianjin Research Institute of Electric Science TianJin China

ISBN: (纸本)9781665427487

With the continuous construction of the power grid, the safe operation of the power system is the basis to ensure a stable and reliable power supply. power transformer is the core of energy conversion and transmission in the power network, which is one of the most important and critical equipment in the power network. For a long time, the safe operation of high voltage equipment mainly depends on preventive test and regular maintenance, so it is difficult to comprehensively and accurately know the transformer state. Meanwhile, effective and reliable fault probability calculation can help us to know the transformer state in time, provide the prerequisite for the establishment of maintenance strategy, and prevent the occurrence of major accidents. The corresponding relationship between each fault mode and characteristic parameters of power transformer is established in this paper, according to the analysis results of power transformer FMEA. In terms of the different characteristics of characteristic parameters, the evaluation methods of fault occurrence probability based on fuzzy membership function and relative deterioration degree are proposed. In order to make full use of the information of characteristic parameters, a comprehensive evaluation method of fault occurrence probability based on the improved analytic hierarchy process (AHP) was established for the fault modes with multiple characteristic parameters. Finally, the concrete evaluation process of the evaluation method is explained in detail through a case analysis.

关键词： power supplies Analytic hierarchy process High-voltage techniques Probability Maintenance engineering Transformer cores power grids

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Protection in active distribution network against short circuit fault and broken line fault 4

Protection in active distribution network against short circ...

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4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020

作者： Wang, Zhiyuan Gao, Zhanjun Zheng, Maoran Yu, Jiang Zong, Peng Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China China Southern Power Grid Guangzhou China

ISBN: (纸本)9781728196060

Under extreme weather, the active distribution network will not only have short circuit fault, but also have broken-line fault. At present, the distribution protection method does not consider multiple fault types comprehensively. This paper proposes an active distribution protection method for short circuit fault and broken-line fault. Based on the analysis of short-circuit fault and broken-line fault, it is concluded that the amplitudes of the current on both side of the fault line and their adjacent currents are different. Based on this feature, a protection criterion for comparing current amplitude is proposed, and the validity of the criterion is verified by simulation. © 2020 IEEE.

关键词： Timing circuits

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Effect Comparison of Rectified and Inverter-fed power control Converters on Sub-synchronous Torsional Stability in Practical ±500kV Lu-Gao-Zhao Three-Terminal DC Project

Effect Comparison of Rectified and Inverter-fed Power Contro...

引用

International Conference on power System Technology (powerCON)

作者： Hao Yuan Chao Hong Youjie Shi Fan Zhang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Power Dispatching and Control Center China Southern Power Grid Co. Ltd. Guangzhou China

ISBN: (纸本)9781665407380

Lu-Gao-Zhao three-terminal DC project is the first ±500kV multi-terminal line-commutated converter-based high voltage direct current (LCC-HVDC) transmission project in China. Different with the two-terminal LCC-HVDC situation that only the rectifier can operate in power control mode, Gaopo converter station of the Lu-Gao-Zhao three-terminal DC project can operate in power/dc-current control mode for both the rectified and inverter-fed conditions. Sub-synchronous torsional interactions between thermal power plants and the rectified power control converter have been well researched, but the effects of the inverter-fed power control converter on sub-synchronous torsional stability have seldom been analyzed. Based on the concepts of damping and synchronizing coefficients, this paper presents a small-signal model of the SG connected to HVDC converter system to compare the effects of rectified and inverter-fed power control converters on sub-synchronous torsional stability, and reveals the mechanism of the effect differences. The results have been adopted to the practical Lu-Gao-Zhao three-terminal DC project, and verified by the DPT test and actual operation.

关键词： Analytical models Thermal factors HVDC transmission power control Thermal engineering power system stability Stability analysis

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