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A Storage and Transmission Joint Planning Method for Centralized Wind power Transmission

Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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Thermal power and energy Storage Combined Frequency Modulation Optimization control considering Frequency Modulation Loss Cost and Recovery of State of Charge

Thermal Power and Energy Storage Combined Frequency Modulati...

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power Science and technology (ICPST), IEEE International Conference on

作者： Yeping Yin Liang Zhang Zheng Fang Xiaolong Wang Diyang Wang Ziyun Zong Ping Zhang Junhui Li Huadian Electric Power Research Institute Co. LTD Hangzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Large-scale new energy grid-connected challenges the frequency modulation of the power grid. How to meet the needs of the system’s frequency modulation while taking into account the economic benefits of thermal power unit wear and energy storage life loss has become an urgent problem to be solved. Therefore, an optimal control strategy of thermal power and energy storage combined with frequency modulation loss cost and Recovery of State of Charge is proposed in this paper. Firstly, the optimal power distribution model of thermal power and energy storage is constructed. Then, taking the minimum frequency modulation loss cost and the minimum SOC offset as the optimization objectives, the remaining frequency modulation capacity and energy storage output constraints of the system were considered comprehensively to complete the frequency modulation power distribution between the thermal power-energy storage combined system. Finally, based on the measured data, the secondary frequency modulation strategy is simulated. The simulation results show that the proposed strategy has good economy, restores the SOC of energy storage, and reduces the frequency modulation loss of the system.

关键词： Frequency modulation Costs simulation power distribution State of charge Resource management Sustainable development

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FDCA-DSTGCN: A Wind Farm Cluster power Day-ahead Prediction Model Based on Frequency Domain Information Gain and Dynamic Trend Sensing

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IEEE Transactions on Sustainable energy 2025年

作者： Yang, Mao Niu, Jiajun Wang, Bo Huang, Dawei Su, Xin Ma, Chenglian Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing100912 China

Accurate wind farm cluster power prediction (WFCPP) is of vital significance for new power systems with large-scale wind power integration. The current WFCPP modeling method ignores the important role of wind direction and frequency domain information, resulting in insufficient use of spatial information and difficult to improve the prediction accuracy. In order to solve the above problems, a day-ahead power prediction model for wind farm cluster power is proposed based on information gain in frequency domain and dynamic trend sensing. Firstly, a cluster division method based on graph theory and progressive fusion of multiple information is proposed, and a virtual information node is set up. Secondly, a method to identify prevailing wind direction under time window is proposed for subsets, and a dynamic weighted directed graph structure is designed based on prevailing wind direction and wind speed. Thirdly, a dynamic spatio-temporal graph convolutional network model with frequency domain gain channel attention mechanism (FDCA-DSTGCN) is proposed to integrate the above information and complete the prediction. Finally, the proposed method is applied to a wind farm cluster in Inner Mongolia of China. Compared with the existing and traditional prediction methods, the normalized root mean square error of the proposed method is reduced by 1.13% -2.15%, which verifies the effectiveness of the proposed method. © 2010-2012 IEEE.

关键词： Mean square error

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Analysis of the Impact of Newly Built Grounding Grid on the Original Grounding Grid Based on the Method of Moments

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Procedia Computer Science 2023年 228卷 185-194页

作者： Letian Wang Zhen Liu Mengqing Song Xuan Zheng Chenglian Ma Shandong Electric Power Engineering Consulting Institute Co. Ltd. Jinan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

On the basis of the method of moments, the resistive coupling effect between the newly built grounding network. When the horizontal distance between two grounding networks of a substation changes, this original grounding network of a certain substation is analyzed. And establish corresponding soil models based on actual engineering soil resistivity data. Use the grounding grid analysis function of CDEGS software and powerstation software simulation software to simulate and calculate some parameters of the new and old grounding grids. The analysis parameters mainly include the grounding resistance, step voltage, and contact voltage of the grounding grid system. And the obtained parameter indicators are compared and analyzed with safety limits to determine the safety performance of the newly built grounding grid system in the substation. And the impact on the grounding performance of the original grounding network of the substation. Provide certain theoretical data support for the actual promotion of substation grounding network engineering.

关键词： Method of Moment Resistive Coupling Grounding Grid CDEGS powerstation

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Coupling Analysis and Protection Design of Substation Grounding Grid and Surrounding Metal Pipe Grid

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Procedia Computer Science 2023年 228卷 1262-1269页

作者： Tao Wang Haojie Yuan Xuan Zheng Mengqing Song Chenglian Ma Shandong Electric Power Engineering Consulting Institute Co. Ltd. Jinan China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology (Ministry of Education) Northeast Electric Power University Jilin China

When the substation grounding grid and part of the underground metal pipe grid are close to each other, the two produce resistive coupling, and the current of the transmission line will flow through the grounding body and through the soil to the buried pipe grid, which may break through the anti-corrosion layer of the pipe grid, and may burn the body of the pipe grid in serious cases; the underground metal pipe grid will also have an impact on the parameters of the grounding grid. To this end, this paper is based on the numerical calculation method of field-path coupling, combined with the actual situation of substation, using CDEGS and ETAP software to simulate and analyze the current dissipation process when a short-circuit fault occurs in the substation after the ground grid is put into operation under multi-layer soil environment, and to study the influence of resistive coupling between the grounding grid and the surrounding metal pipe grid during an industrial frequency grounding short circuit. Optimize the structure of the grounding system so that the contact voltage across and step voltage is lower than the safety limit to protect the personal safety in the station; at the same time, take certain protective measures to slow down the corrosion of the pipe grid.

关键词： Grounding Grid Metallic Pipe Grid Field Circuit Coupling Ground Potential Rise Resistive Coupling

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Active Support Performance of Grid-connected Multi-power Conversion system Based on Grid-following/Grid-forming control

Active Support Performance of Grid-connected Multi-power Con...

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IEEE Conference on Vehicle power and Propulsion (VPPC)

作者： Tianwei Li Puyu Wang Fuluan Chen Tianming Gu Dejian Yang Gangui Yan Ze Ma Hongsheng Yuan School of Automation Nanjing University of Science and Technology Nanjing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University China Beijing Mechanical Equipment Institute Beijing China

ISBN: (数字)9798331541606

ISBN: (纸本)9798331541613

The power conversion system (PCS) serves as a crucial intermediary between energy storage system and the power grid. Presently, PCS predominantly employs two control strategies: grid-following (GFL) control and grid-forming (GFM) control. Traditional GFL converters primarily rely on phase-locked loops (PLL) to achieve synchronization with the grid, behaving as controlled current sources, which are incapable of actively supporting grid frequency and voltage. Conversely, GFM converters actively sense disturbance and possess the capability to actively support grid frequency and voltage. However, for multi-PCS grid-connected system, there remains a lack of in-depth investigation into the rational design of the configuration ratio (CR) between two types of converters. This paper investigates multi-PCS grid-connected system based on GFL/GFM control by considering different CRs. Initially, the operational principles and control strategies of multi-PCS grid-connected system are analyzed, elucidating the mathematical models of multi-PCS and their GFL/GFM controllers. Subsequently, a 6-PCSs grid-connected system is employed as an example with seven different CRs simulated in PSCAD/EMTDC, which is disturbed by load disturbance and single-phase ground fault. Finally, the simulation results are compared to obtain the optimal configuration ratio for 6-PCS grid-connected system under corresponding condition.

关键词： Grid following simulation Propulsion Frequency conversion power grids Synchronization Voltage control Phase locked loops Frequency control Grid forming

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Short-Term Prediction of Wind Farm Cluster power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods

Short-Term Prediction of Wind Farm Cluster Power Based on Lo...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Mao Yang Yunfeng Guo Bo Wang Zhao Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing China

Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the power system due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. And the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method.

关键词：

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IES Load Forecasting Considering Multifaceted Load Coupling Characteristics

IES Load Forecasting Considering Multifaceted Load Coupling ...

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energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Xinnan Yu Yunjing Liu Rao Fu Yuxuan Zeng Jinxin Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Jilin Electric Power Co. Ltd. Jilin China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

The Integrated energy system (IES) multifaceted load forecasting technology is a critical foundation for ensuring the balance and stable operation of the system supply and demand. Due to the complex coupling relationships among various loads, this paper constructs a regional IES multifaceted load forecasting model based on the Grey Relation Analysis (GRA) method and the Bi-directional Long Short-Term Memory (BI-LSTM) neural network to delve into the coupling characteristics between electric, thermal, and cooling loads. Firstly, the Grey Relation Analysis is employed to analyze the correlation of multifaceted loads, determining the prediction priority of multifaceted loads in the integrated energy system. Secondly, based on the exploration of coupling characteristics among multifaceted loads, the k-means clustering algorithm is applied to partition loads with the highest priority into sets with similar fluctuations. Finally, for each load scenario set, a hierarchical prediction strategy is implemented using the BI-LSTM network for scenario set prediction modeling. Case study results indicate that the proposed forecasting model exhibits high prediction accuracy and effectively handles the intense fluctuations in loads, meeting the operational requirements for the system's safety and stability.

关键词： Couplings Fluctuations Supply and demand Load forecasting Predictive models Stability analysis Thermal analysis

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Configuration Ratio of Grid-Following/Forming control for High-Penetration renewable energy Integrated system Containing Electric Vehicle

Configuration Ratio of Grid-Following/Forming Control for Hi...

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IEEE Conference on Vehicle power and Propulsion (VPPC)

作者： Mengqi Zhao Puyu Wang Tianming Gu Dejian Yang Gangui Yan Fang Shi School of Automation Nanjing University of Science and Technology Nanjing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

The charge-discharge between distributed generations and electric vehicles (EVs) will be an important component of the future development of EVs. In this paper, the optimal configuration ratio (CR) of grid-following/forming (GFL/GFM) control for high-penetration renewable energy integrated system containing EV is investigated: (1) The mathematical models for the grid-connected inverter and GFL/GFM control are elaborated, and five simulation cases with different CRs [CR: (100%, 75%, 50%, 25%, 0%)] are simulated in PSCAD/EMTDC. (2) The optimal CR is obtained through the comparative analysis of simulation results of different CRs under load disturbance /single phase-to-ground fault/island operation mode with corresponding evaluation indicators.

关键词：

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Optimised Configuration of Multi-energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

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SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-[A1] flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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