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International Conference on Harmonics and Quality of power

作者： Zheng Yang Hou-He Chen Yu-Xi Song Guang-Ze Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (数字)9798350382563

ISBN: (纸本)9798350382570

With the development of society, the frequency of Adjustable-Speed Drives (ASD) usage among industrial users has surged. ASDs are highly sensitive to voltage dips, when the DC capacitance voltage drops below a certain threshold, the ASD low voltage protection is triggered. However, this threshold is set based on voltage tolerance curve (VTC) and is subjective, quantitative analysis on the amplitude of DC capacitor voltage dips in ASDs is lacking. Therefore, this paper constructs a dynamic model of the ASD grid-connected system on a transient time scale and obtains an approximate analytical solution for the power absorbed by the ASD from the grid. Furthermore, by establishing a dynamic model of the capacitor voltage during speed regulation and grid voltage dips caused by the single line-to-ground fault, and based on the Fourier expansion method, the approximate analytical solution for the amplitude of ASD capacitor voltage dips is obtained. Finally, the effectiveness of the algorithm is validated by simulation and calculation.

关键词： Analytical models Voltage fluctuations Statistical analysis Capacitance-voltage characteristics Capacitors Variable speed drives Threshold voltage Regulation Voltage control Transient analysis

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Pre-configuration Method and Scheduling Strategy of Distribution Network Mobile energy Storage Vehicle Considering Intermittent Load of Rural Network

Pre-configuration Method and Scheduling Strategy of Distribu...

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2024 International Conference on Electronics and Devices, Computational Science, ICEDCS 2024

作者： Lu, Xiaoming Yao, Yiwen Xin, Yechen Wang, Dingheng Wang, Xinhong Xu, Xin Li, Hao State Grid Jilin Electric Power Co. Ltd Economic and Technological Research Institute Changchun China Ministry of Education Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Grid Jilin Electric Power Co. Ltd Changchun China

ISBN: (纸本)9798331527624

Aiming at the problem of heavy overload in the distribution station area during the peak period of energy consumption caused by intermittent loads such as agricultural motor wells, the mobile energy storage technology is considered to meet the agricultural power demand, and a two-stage mobile energy storage vehicle pre configuration and dynamic adjustment strategy of "Rural busy power energization"and "rural idle distributed energy storage"is proposed, taking into account the guarantee of load power demand and the efficiency and economy of energy storage. Firstly, the mathematical model of agricultural motor well load considering the time shift characteristics and the mobile energy storage vehicle model considering the power supply time constraint are established;Secondly, a multi-stage mobile energy storage configuration and scheduling strategy is established. In the Rural busy power generation stage, the mobile energy storage vehicle capacity is configured with the minimum daily power supply cost as the goal, and the power supply path is optimized with the highest charge state consistency at the completion of power supply as the goal;At the stage of distributed energy storage in rural slack, the collaborative optimization of mobile energy storage vehicles participating in multi scenario power services is carried out with the goal of maximizing the annual net income. Finally, the proposed two-stage strategy has certain economic benefits under the premise of meeting the power demand of the load, which is verified by combining the power consumption data of wells in Jilin Province and IEEE 33 bus system simulation. © 2024 IEEE.

关键词： Charge storage

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Economic Analysis of Peak Regulation of Fire Storage system Based on Northeast Electric Auxiliary Service Market 4

Economic Analysis of Peak Regulation of Fire Storage System ...

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4th International Conference on power and energy technology, ICPET 2022

作者： Zhao, Haiji Zhang, Jingxiang Yu, Jun Jin, Xuezhu Hou, Kaiyuan An, Chenyu Xu, Fei Li, Junhui Northeast Branch of State Grid Corporation of China 110180 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

With the proposal of 'dual carbon' goal, the installed capacity of new energy is increasing rapidly, but the randomness and unpredictability of new energy affect the security of power grid. The stability of power grid requires the thermal power plant to carry out the task of peak regulation, but the thermal power plant to undertake the task of deep peak regulation is not high income, poor enthusiasm. Based on the operation rules of auxiliary service market in Northeast China, this paper studies the deep peak shaving task of energy storage system auxiliary thermal power plant. At the same time, the cost of all-vanadium flow battery was modeled and calculated, and the control strategy of charge and discharge limit of energy storage was adopted based on the depth peak shaving benchmark. The cost model and profit model of the energy storage system are constructed, and the economic analysis of the energy storage system in the combined fire storage system is carried out. Further explore the feasibility of energy storage system combined with thermal power plant peak regulation. © 2022 IEEE.

关键词： Economic analysis

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Optimal Scheduling of Multiple energy Storage-Thermal power Units under Electricity Market 4

Optimal Scheduling of Multiple Energy Storage-Thermal Power ...

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4th IEEE New energy and energy Storage system control Summit Forum, NEESSC 2024

作者： Li, Baoju Xu, Shuguang Fu, Jiyue Fu, Xiaobiao Wang, Yao Zhu, Xingxu Li, Cuiping Li, Junhui Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The Power Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China

ISBN: (纸本)9798350389012

Aiming at the increasing burden of power system peaking caused by the integration of large-scale new energy generation into the grid and the imperfect participation mechanisms for peaking entities in the power market, this paper proposes an optimal dispatch method for multiple storage and thermal power units. Firstly, to reduce the impact of the volatility of new energy generation on system peaking, the planned market trading power of new energy is optimally allocated with the goal of minimizing the net load on the grid. Secondly, a multi-storage lease transaction mechanism and an energy storage lease declaration model based on the whole life cycle cost are designed, and the charging and discharging power of individual storage units is optimized with the objective of maximizing revenue from multi-storage leasing. Finally, typical daily data are selected and simulated in the improved IEEE 30-bus system. The results show that the proposed method reduces the curtailment rate of new energy and effectively improves the economic efficiency of peaking for power market entities. © 2024 IEEE.

关键词： Charge storage

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Research on Partition Method of Distributed Photovoltaic Cluster Based on Modularity Index and Absorption Ability 2

Research on Partition Method of Distributed Photovoltaic Clu...

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2nd International Conference on Smart Grids and energy systems, SGES 2023

作者： Meng, Tao Lv, Xiangyu Li, Chenggang Li, Dexin Zhang, Yifu Meng, Xiangdong State Grid Jilin Electric Power Co. Ltd. Electric Power Research Institute China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Changchun Jilin China

ISBN: (纸本)9798350371659

To achieve large-scale renewable energy, grid friendly coordination and the need to maximize grid-connection and consumption functions, the clustering method has become a forward-looking solution for distribution network planning, construction and dispatching control. In this paper, the modularity index and active power balance index based on electrical distance are taken as the comprehensive classification index. Then genetic algorithm is introduced to divide the distributed PV cluster in the distribution network. Finally, a 10kV distribution system is taken as an example, and the distributed photovoltaic cluster planning is simulated and analyzed, which proves that the distributed photovoltaic cluster division method is effective. © 2023 IEEE.

关键词： Genetic algorithms

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Resilience Assessment of power Transmission systems Under Extreme Ice Disaster 10th

Resilience Assessment of Power Transmission Systems Under Ex...

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10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022

作者： Li, Dexin Wu, Xinyu Gao, Song Zhuang, Guanqun Wang, Changjiang Electric Power Research Institute State Grid Jilin Electric Power Supply Co. Ltd. Changchun130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9789819934034

The occurrence of ice disasters poses a great threat to the normal transmission system operation. To better complete the toughness evaluation of the system under ice disaster, firstly, an attack model considering the instantaneous wind speed and accumulated ice thickness of the line is established. Secondly, combined with the disaster degree of the line and the initial design data, the fault probability of the line is estimated, and the system load reduction model is used to determine the affected degree of the system. Then, a resilience evaluation index focusing on the degree of system damage under extreme ice disasters is proposed. Taking the IEEE-39 bus system as an example, the feasibility of the proposed index is verified, and two elastic improvement measures are adopted to verify the practicability of the index. The simulation results of an example show that this resilience evaluation index can directly reflect the impact of extreme ice disasters on the resilience of the transmission system and can better see the effect of different resilience improvement methods on the resilience of the transmission system. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Disasters

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Strategic Optimization and Demand Response for Thermal Load Management in Multi-Regional Integrated energy systems: A Stackelberg Game Approach

arXiv

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arXiv 2024年

作者： Yang, Ranran Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin132012 China

In the context of high fossil fuel consumption and inefficiency within China's energy systems, effective demand-side management is essential. This study examines the thermal characteristics of various building types across different functional areas, utilizing the concept of body coefficient to integrate their unique structural and energy use traits into a demand response framework supported by real-time pricing. We developed a Stackelberg game-based bi-level optimization model that captures the dynamic interplay of costs and benefits between integrated energy providers and users. This model is formulated into a Mixed Integer Linear Programming (MILP) problem using Karush-Kuhn-Tucker (KKT) conditions and linearized with the Big M method, subsequently solved using MATLAB and CPLEX. This approach enables distinctive management of heating loads in public and residential areas, optimizing energy efficiency while balancing the interests of both providers and users. Furthermore, the study explores how the proportion of different area types affects the potential for reducing heat loads, providing insights into the scalability and effectiveness of demand response strategies in integrated energy systems. This analysis not only highlights the economic benefits of such strategies but also their potential in reducing dependency on traditional energy sources, thus contributing to more sustainable energy system practices. © 2024, CC BY-NC-ND.

关键词： Demand response

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A framework of day-ahead wind supply power forecasting by risk scenario perception

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IEEE Transactions on Sustainable energy 2025年

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

Wind power forecasting (WPF) systems are essential to maintain the safe and stable operation of the power system in case of large-scale grid-connected wind farms. However, the current forecasting has the problem of disunity between statistical value and application value, that is, it only pays attention to its forecasting accuracy and ignores the risks caused by it in the power system. In order to solve the above problems, this study proposes a framework of wind supply power forecasting (WSPF) for wind farm cluster, which takes into account the risk scenario perception. First of all, aiming at the predicted risk phenomenon in WPF, TimesNet combined with the fluctuation information of Numerical Weather Prediction (NWP) wind speed is used to identify the corresponding risk scenarios. Secondly, the effective consumption area and power supply risk area evaluation index, as well as the accuracy of WSPF are defined, and the optimal forecasting curve correction scheme is fitted according to the index. Thirdly, taking into account the correction scheme and identification results, a variety of predictors are used to verify the WSPF according to the above framework. Finally, the proposed method is applied to a wind farm cluster in Inner Mongolia Autonomous region of China, the average accuracy of WSPF has increased by 37%, which verifies the effectiveness and universality of this method. © 2010-2012 IEEE.

关键词： Wind forecasting

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Dual Nwp Wind Speed Correction Based on Trend Fusion and Fluctuation Clustering and its Application in Short-Term Wind power Prediction

SSRN

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SSRN 2024年

作者： Yang, Mao Che, Runqi Yu, Xinnan Su, Xin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

Accurate wind power prediction (WPP) can effectively ensure the safe and stable operation of power system. At present, the main input of short-term power prediction based on data-driven model is numerical weather prediction (NWP), and its prediction accuracy leads to the failure to effectively improve the accuracy of short-term power prediction. To solve this problem, this paper proposes a dual NWP wind speed (WS) correction method based on trend fusion and fluctuation clustering. First, the WS trend is used to construct a new input feature. Secondly, the error is decomposed by Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), and the trend and fluctuation components are defined by Pearson coefficient. The trend curve features in the short 24h period were extracted from two dimensions of time and value, and the trend and fluctuation curve databases under different scenarios were formed by K-Medoids clustering. Finally, the trend component is modified by the Attention-GRU model, and the corresponding trend component is searched and matched from the database to correct the fluctuation component. The NWP WS is modified by the superposition of the two components and the short-term WPP is made. And the prediction accuracy was improved by 10% and 13.1% respectively。 © 2024, The Authors. All rights reserved.

关键词： Wind speed

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LOW CARBON OPTIMAL SCHEDULING OF INTEGRATED energy system CONSIDERING WASTE HEAT UTILIZATION UNDER THE COORDINATED OPERATION OF INCINERATION power PLANT AND P2G

arXiv

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arXiv 2024年

作者： Limeng, Wang Shuo, Wang Na, Wang Yuze, Ma Yang, Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin132012 China

In order to improve energy utilization and reduce carbon emissions, this paper presents a comprehensive energy system economic operation strategy of Incineration power plant power-to-gas (P2G) with waste heat recovery. First, consider the coordinated operation of Incineration power plant - P2G, introduce the refined power-to-gas two-stage operation process, add Hydrogen fuel cells on the basis of traditional power-to-gas to reduce the energy ladder loss, and recycle the Methanation reaction heat;Secondly, in order to improve the energy utilization efficiency of Incineration, it is considered to install a waste heat recovery device containing a water source heat pump to recover the waste heat of flue gas and consume some electric energy, sourced from wind power, and add a CO2 separation device to combine the recovered CO2 with P2G to synthesize CH4 to achieve carbon recycling. Finally, within the framework of a tiered carbon trading mechanism an IES optimization model for electricity-heat with the goal of minimizing the system operating cost is constructed, and the GUROBI modeling optimization engine is used to solve this model. The results verify the effectiveness of the model. © 2024, CC BY-NC-ND.

关键词： Waste heat

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