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Visual Simulation Platform for Optimization Configuration and Coordinated control of Thermal-Storage Joint Frequency Regulation

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Visual Simulation Platform for Optimization Configuration an...

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

作者： Cuiping Li Ziyun Zong Zheng Fang Zhijun Li Ping Zhang Qinglin Sui Xingxu Zhu Junhui Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University China Huadian Electric Power Research Institute Co. LTD Hangzhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

First, analyze the frequency modulation demand situation and propose an optimized configuration method for coordinating the control strategy of a thermal-mixed energy storage system to assist thermal power units in frequency modulation. Then, based on the proposed optimized configuration method and coordination control strategy, develop a visualization simulation platform for the optimized configuration and coordinated control of thermal energy storage joint frequency modulation using Matlab App Designer. Finally, the case study is based on the measured data from a 300 MW thermal power unit in a certain region of China, and it conducts an analysis to verify the effectiveness of the visualization simulation platform.

关键词： Visualization Frequency modulation Data visualization Thermal conductivity Thermal analysis MATLAB Frequency control Optimization Thermal energy energy storage

Partial Discharge Fault Diagnosis in power Transformer Based on Symplectic Geometry Mode Decomposition and Optimized Convolutional Neural Networks

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SSRN 2023年

作者： Shang, Haikun Liu, Zhidong Huang, Tao Zhang, Ranzhe Li, Feng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Electric Power Research Institute Xinjiang830011 China

To address challenges in feature extraction, such as difficulty in accurately extracting valuable information and low recognition accuracy during pattern recognition, this paper proposes a novel method for power transformer PD fault diagnosis based on symplectic geometry mode decomposition (SGMD) and optimized Convolutional Neural Networks (CNN). First, three different types of power transformer PD fault signals are extracted, namely floating discharge (FD), corona discharge (CD), and bubble discharge (BD), in a laboratory environment. Second, PD signals are decomposed using SGMD to obtain different symplectic geometric components (SGCs). Afterwards, approximate entropy (ApEn) values of each SGC are calculated as PD feature parameters. Subsequently, the sparrow search algorithm (SSA) algorithm is utilized to optimize and configure the CNN parameters to enhance the diagnostic accuracy and stability. Finally, the obtained feature parameters are fed into the optimized CNN for fault diagnosis. Simulation and experimental analysis verify the effectiveness of the proposed method. © 2023, The Authors. All rights reserved.

关键词： Mode decomposition

Long-Foresight-Term power Prediction Considering the Evolution of Significant Weather Information for Wind Farm Cluster

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SSRN 2023年

作者： Yang, Mao Jiang, Renxian Zhang, Xiaobin Huang, Yutong Guo, Yunfeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Gansu Electric Power Company Gansu730030 China

The current wind power prediction horizon extends up to 7 days, and the research on power prediction for the 8 to 15 day-ahead is still lacking. However, with the increasing proportion of renewable energy in novel power systems, breaking through the long-foresight-term power prediction barrier is crucial support for guaranteeing the secure and stable operation of the power system. To address the aforementioned issues, this study presents a power prediction method for wind farm cluster (WFC) in long-foresight-term, based on the poor availability of existing numerical weather prediction (NWP) in long-foresight-term. Firstly, a significant wind process identification method considering autocorrelation analysis is employed to predict future power trends, and an optimal method is explored for power generation (PG) prediction in the 8 to 15 day-ahead. Secondly, under the constraint of predicted PG, the power corresponding to the historical similar wind process is selected as the predicted value. Finally, the proposed methodology is applied to a WFC in Gansu Province, China. The results indicate that the proposed method reduces the average RMSE and MAE by 4.15% and 3.3%, respectively, effectively tracking the changing trends of wind power. Moreover, it achieves long-foresight-term prediction and enhances the reliability of the prediction. © 2023, The Authors. All rights reserved.

关键词： Numerical methods

Exergic Perspective of Low Carbon Economy Dispatch of Carbon Capture power Plant and power to Gas Synergistic Operation

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SSRN 2023年

作者： Wang, Xiuyun Zhang, Wanyu Wang, Rutian Wen, Xiangyun Cui, Benwang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to improve the system economy and low carbon, the power to gas-carbon capture power plants joint operation system is introduced in the integrated energy system to reduce carbon emissions while increasing the consumption of renewable energy. From the perspective of exergy, both the quantity and quality of energy were taken into account, the calculation methods of different exergy values of energy flow were refined, and the sub-model of exergy flow calculation was established. To further achieve low carbon emission reduction, the costs of carbon emission trading, carbon capture energy consumption and carbon storage were included in the non-energy costs, and the exergoeconomic cost distribution model was established. Compared with the traditional pricing method, this paper considers the impact of carbon cost and energy grade difference on unit exergic cost of cooling, heating and electricity in the system, reflecting the principle of higher quality and higher price. Finally, the constructed model is solved with the total cost as the objective function. The simulation example shows that the proposed scheduling method can improve the low-carbon emission reduction capacity of the system and achieve reasonable cost distribution. © 2023, The Authors. All rights reserved.

关键词： Carbon capture

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

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Thermal Power and Energy Storage Combined Frequency Modulati...

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

Research on Parameter Identification Method of Generator Excitation System Based on Differential Evolution Algorithm

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Research on Parameter Identification Method of Generator Exc...

作者： Nan Li Yuqun Liu Bin Geng Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University College of Electrical Engineering Northeast Electric Power University Jilin Electric Power Co. Ltd.

In order to solve the problem of large parameter identification error caused by nonlinear links of excitation system being triggered easily when transient stability is under fault state, an improved differential evolution algorithm for system parameter identification is proposed by using the characteristic of artificial intelligence algorithm that the nonlinear link is approximated infinitely through optimization. The improvement of the algorithm solves the problems of slow convergence speed, poor fine optimization ability and easily to produce local optimum when classical artificial intelligence algorithm identifies the parameters of non-linear links. At the same time, in order to solve the problem of inaccurate parameters in the whole identification, a decomposition link identification strategy is proposed. The example analysis shows that the algorithm improves the convergence speed, avoids local optimum and improves the convergence accuracy. According to the proposed parameter identification strategy, the excitation system is decomposed and identified, which improves the accuracy of generator excitation system parameter identification, and provides an accurate model and method for power system stability analysis

关键词： Research on Parameter Identification Method of Generator Excitation System Based on Differential Evolution Algorithm

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

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

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

IES Load Forecasting Considering Multifaceted Load Coupling Characteristics

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IES Load Forecasting Considering Multifaceted Load Coupling ...

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

A Novel DC Fault Ride-Through Coordinated control Strategy for DC Grid with Hybrid MMC

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SSRN 2022年

作者： Jiang, Shouqi Li, Guoqing Wang, Xiaoxue Xin, Yechun Wang, Weiru Wang, Yanxu Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132000 China

DC grid based on hybrid modular multilevel converter (MMC) is an effective means to achieve large-scale renewable energy integration, multi-energy complementarity and friendly grid-connection. Aiming at the problem that the traditional DC fault ride-through (FRT) scheme will cause the interruption of power transmission in the whole network, a novel DC FRT coordinated control strategy is proposed in this paper, which can quickly interrupt the fault current and avoid the MMC exiting operation. Based on the analysis of fault current composition and key influencing factors, for fault line MMC (FLMMC), a negative voltage control strategy adaptive to the change of fault current is proposed, which can improve the current attenuation speed and ensure reliable fault isolation. For non-fault line MMC (NFLMMC), considering the overvoltage and overcurrent risks of FLMMC, the coordinated current-limiting control method and parameter selection principle of NFLMMC is proposed, where the current-limiting performance can be adaptive to the voltage change of DC bus, so as to realize the rapid recovery of DC power grid while restraining fault current. Finally, a four-terminal DC grid real-time digital simulation model is built to verify the validity of the proposed FRT coordinated control strategies. © 2022, The Authors. All rights reserved.

关键词： Voltage control