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2023 International Conference on power System technology, powerCon 2023

作者： Yan, Jun Song, Qinglong Guo, Qi Xin, Lijian Meng, Fancheng Yu, Shuo Zhou, Jiaxu Li, Cuiping Li, Junhui Co. Ltd. Hohhot China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin China Co. Ltd. Power Dispatching and Control Branch Hohhot China Co. Ltd. Inner Mongolia Electric Power Research Institute Branch Hohhot China

ISBN: (纸本)9798350300222

Against the backdrop of the increasing proportion of new energy generation, pumped storage, as the main energy storage method, face problems of low utilization and poor economic benefits. To improve the enthusiasm and overall efficiency of pumped storage power stations, this article proposes an optimized control strategy for pumped storage power stations that takes into account cost sharing. This strategy combines the PSS allocation system operation rules and control strategies to improve the utilization of PSS capacity by expanding its application scenario range, and to increase its enthusiasm for extraction by increasing rental income;This article takes a regional power grid in northwest China as an example for analysis, and the results show that the proposed strategy can effectively improve the utilization level and economic benefits of PSS. © 2023 IEEE.

关键词： Cost effectiveness

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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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A disturbance localization method for power system based on group sparse representation of compressed sensing 2

A disturbance localization method for power system based on ...

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2nd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： Wang, Zeyi Jiao, Mingxi Wang, Daliang Liu, Minxu Jiang, Minglei Wang, He Li, Shiqiang State Grid Jilin Electric Power Co. Ltd. Changchun Power Supply Company Changchun China Institute of State Grid Jilin Electric Power Co. Ltd. Economic and Technical Research Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (纸本)9781665462532

This paper proposes a new disturbance localization method for power system based on group sparse representation of compressed sensing. Based on the analysis of disturbance characteristics of power system, the sparse dictionary of compressed sensing group is constructed by the admittance matrix, impedance matrix, and power variation matrix. In addition, the traditional generalized orthogonal matching pursuit reconstruction algorithm is improved to obtain the group sparse coefficients corresponding to the above dictionaries for compressive sensing sparse reconstruction, and the corresponding weights of each class in the group sparse dictionary are determined based on the entropy weight method to realize the accurate location of power system disturbances. In this paper, the IEEE 39 node power systems are built on the PSCAD/EMTDC simulation platform for experimental verification, and three common disturbances of cutting generator capacity, cutting load capacity and single-phase grounding short circuit are analyzed respectively. The simulation results show that the proposed method can achieve the accurate location of common disturbances in power systems with limited measurement device configurations, and has the advantages of less computation and strong robustness to noise. © 2023 IEEE.

关键词： Entropy

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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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Super-Resolution Reconstruction of Electric power Inspection Images Based on Very Deep Network Super Resolution 6th

Super-Resolution Reconstruction of Electric Power Inspection...

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6th International Conference on Artificial Intelligence and Security, ICAIS 2020

作者： Shi, Bowen Gao, Jilong He, Zhentao Zhang, Tian Zhong, Tie Chen, Haipeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin CityJilin132012 China College of Electrical Engineering Northeast Electric Power University Jilin CityJilin132012 China School of Physics Northeast Normal University Changchun130024 China

ISBN: (纸本)9783030578831

Aiming at the problem of getting low resolution image and blurred image during unmanned aerial vehicle (UAV) inspection, a super-resolution reconstruction algorithm based on very deep network super resolution (VDSR) is proposed. The algorithm model is composed of deep convolution neural network and residual structure, which is improved on the basis of super resolution convolutional neural network (SRCNN). By deepening the network to 20 layers, the receptive field can be expanded, and the residual structure can be combined to obtain better reconstruction effect. The experimental results show that the proposed super-resolution method based on VDSR has richer texture and more realistic visual effect, with 2.95 dB and 0.037 improvement in PSNR and SSIM compared with the super-resolution methods based on Bicubic Interpolation, Sparse Coding and SRCNN. The proposed algorithm further promotes the theoretical research of inspection image super-resolution, and can be effectively applied to the practical application of power inspection. © 2020, Springer Nature Switzerland AG.

关键词： Textures

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Coordination of Electricity and Heat Dispatch Strategy Combining Carbon Trading and Peak Shaving Compensation Mechanism

Coordination of Electricity and Heat Dispatch Strategy Combi...

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2020 International Conference on Electronic, Electrical and Computer Applications, ICEECA 2020

作者： Ge, Weichun Li, Zhao Zhao, Dong Li, Zhenyu Ye, Qing Fu, Yu Yu, Na State Grid Liaoning Province Electric Power Company Limited Shenyang110006 China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Fuxin Power Supply Company of Liaoning Electric Power Co. Ltd Liaoning Fuxin123000 China

Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources;Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Analytical Analysis on DC Capacitance Voltage Dip Amplitude of AC Adjustable-Speed Drives

Analytical Analysis on DC Capacitance Voltage Dip Amplitude ...

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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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Unbalanced Strategy of Vehicle-to-Grid on Evolution Game

Unbalanced Strategy of Vehicle-to-Grid on Evolution Game

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Annual Conference of Industrial Electronics Society

作者： Xinling Li Yuzhi Zhou Libin Tian Hongwei Li Wei Zhang Hongpeng Liu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

The utilization of vehicle-to-grid (V2G) technology is an environmentally friendly approach to achieve the transition towards low-carbon energy systems. However, it is still unknown what impact the V2G policy will have on the charging market of electric vehicles (EVs) and whether it is competitive with other electricity sales strategies. Aiming at the above problems, the electricity price model of EVs in electricity market including V2G strategy is established. Firstly, a 2–3 unbalanced strategy evolutionary game (2–3 USEG) model integrating vehicle-network interaction is proposed. The asymptotically stable equilibrium points of asymmetric evolutionary games for two groups with unbalanced game strategies are obtained. Multiple game strategies between the power grid enterprises (PGE) and New power supply entities (NPSE) are studied Besides, the corresponding asymptotic stability conditions are given by the Lyapunov stability criterion. Finally, the simulation proves that the ample implemented V2G strategy not only has strong competitiveness, but also enables the charging electricity price market of electric vehicles to have the “virtual high” electricity price adjustment ability.

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Ultra-Short-Term Wind power Interval Prediction Based on Fluctuating Process Partitioning and Quantile Regression Forest

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FRONTIERS IN energy RESEARCH 2022年 10卷

作者： Sun, Yong Huang, Yutong Yang, Mao Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Jilin Electric Power Company Ltd. Changchun China

As errors in point forecasts of wind power are unavoidable, interval forecasts can adequately describe the uncertainty in wind power and thus provide further guidance to dispatchers in their decision making. Current interval prediction methods are still incomplete in terms of tapping into the physical variability of wind power, especially for the specific time scale of the ultra-short term. This paper therefore proposes a new framework for interval forecasting of ultra-short-term wind power that incorporates the power fluctuation process. Firstly, a fluctuating process of wind power series is defined and a Kalman-SOM method for clustering the fluctuating processes of wind power is constructed. Secondly, a quantile regression forest interval prediction model is constructed for multiple fluctuation processes for ultra-short-term time scales. Finally, the effectiveness of the overall framework is validated at a wind farm in Jilin Province, China. Compared with the traditional interval prediction method. The interval bandwidth is reduced by 0.86% on average, and the interval coverage is increased by 1.4% on average. The results demonstrate the effectiveness and feasibility of the method in this paper.

关键词： wind power ultra-short-term prediction self-organizing map fluctuation quantile regression forest

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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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