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6th IEEE International Electrical and energy Conference, CIEEC 2023

作者： He, Chunjiang Wang, Yijian Xu, Yang Cui, Yang China Electric Power Research Institute State Key Laboratory of Power Grid Security and Energy Conservation Beijing China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9798350346671

Combined Cooling, Heating and power(CCHP) system is an important way to improve the efficiency of energy utilization and wind power consumption. In this case, increasing the operational flexibility of CCHP systems can help increase renewable energy consumption and reduce carbon emissions. So, it is necessary to provide real-time optimal energy management(OEM) for CCHP systems. In this paper. Firstly, a new training method is proposed for the LightGBM to improve the accuracy of real-time wind power prediction. In addition, to solve the nonlinear OEM of CCHP in real-time, a novel deep reinforcement learning algorithm-Soft Actor-Critic, is used in this paper. By combining the mechanism of CCHP with the reward function through knowledge fusion, the non-convex models can be translated into Markov Decision Processes(MDP), and then according to the Bellman optimal equation, the real-time optimized operation of the CCHP system is realized. Finally, the effectiveness of the proposed policy is verified by the actual operation data of a CCHP system in Northwest China. © 2023 IEEE.

关键词： Reinforcement learning

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Optimal Scheduling of Pumped Storage power Station with Double-Fed Variable Speed Unit Based on Reservoir Regional Operation Strategy 4

Optimal Scheduling of Pumped Storage Power Station with Doub...

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4th Asia-Pacific Conference on Communications technology and Computer Science, ACCTCS 2024

作者： Ma, Yuhan An, Yining Ge, Xiaohui Zhao, Bo State Grid Zhejiang Electric Power Co. Ltd. Research Institute Zhejiang Hangzhou China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin Jilin China

ISBN: (纸本)9798350359985

The conventional pumping unit lacks the ability to continuously adjust input power during pumping operations, and exhibits poor adaptability when integrating new energy sources into the grid. In this study, we propose a novel 'domain operation' strategy that allocates resources based on real-time reservoir conditions across all levels of hydropower stations, while optimizing operations through the implementation of doubly fed units. © 2024 IEEE.

关键词： Hydroelectric power

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A Disturbance Localization Method for power system Based on Group Sparse Representation and Entropy Weight Method

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energy Engineering 2024年第8期121卷 2275-2291页

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu Liu Minglei Jiang He Wang Shiqiang Li Changchun Power Supply Company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Economic and Technical Research Institute State Grid Jilin Electric Power Co.Ltd.Changchun130022China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin132012China

This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight *** different electrical quantities are selected as observations in the compressed sensing *** entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance ***,by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances,an improved Joint Generalized Orthogonal Matching Pursuit(J-GOMP)algorithm is utilized for *** reconstructed sparse vectors are divided into three *** at least two parts have consistent node identifiers,the node is identified as the disturbance *** the node identifiers in all three parts are inconsistent,further analysis is conducted considering the weights to determine the disturbance *** results based on the IEEE 39-bus system model demonstrate that the proposed method,utilizing electrical quantity information from only 8 measurement points,effectively locates disturbance positions and is applicable to various disturbance types with strong noise resistance.

关键词： Disturbance location compressed sensing group sparse representation entropy power method GOMP algorithm

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Optimal Scheduling Strategy for Interconnected Multi-region Peaking Resources Considering Network Currents 9

Optimal Scheduling Strategy for Interconnected Multi-region ...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Li, Junhui Pan, Yahui Qi, Xuesong Guan, Xiaozhuo Guo, Tiebin Zhang, Yizhu Sun, Jia Lu, Yixin Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China Power Dispatching and Control Center Jilin Power Supply Company Jilin China Science and Technology Section Jilin Power Supply Company Jilin China Jilin Electric Power Co Science and Technology Innovation Department Changchun China

ISBN: (纸本)9798350309638

Under the background of the increasing proportion of new energy power generation, the mismatch of 'source-load' occurs between regions. To effectively improve the utilization rate of peaking resources and increase the amount of 'source-load' matching, this paper proposes the optimal scheduling of multiregional peaking resources considering network currents. The strategy takes into account the impact of wind power penetration rate on the demand for peaking resources and connects the regions with different peaking characteristics using contact lines. It evaluates and iterates the peaking resources of each region in each time period and finds the optimal amount of peaking resources and the optimal output of thermal power units in each region. Through simulation, the results show that the proposed strategy effectively improves wind power consumption and system operation economy. © 2024 IEEE.

关键词： Wind power

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Design and Implementation of power system simulation Platform Based on Cloud Computing 4

Design and Implementation of Power System Simulation Platfor...

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4th International Conference on energy, power and Electrical Engineering, EPEE 2024

作者： Lu, Yuanhong Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue National Energy Power Grid Technology R&d Centre Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798331518066

power system simulation involves simulating the operating states and dynamic processes of power systems using mathematical models and computer technology to analyze and predict system behavior. Traditional simulation methods struggle to meet the needs of large-scale, complex power grids due to significant demands for computational resources. Cloud computing, with its high scalability, resource pooling, and on-demand services, is ideally suited for the extensive simulation calculations required by modern power systems. Despite its advantages, the application of cloud computing in power system simulation poses challenges related to data security and privacy, particularly in collaborative simulations involving multiple power entities. This paper presents the design and implementation of a cloud computing-based power system simulation platform. The proposed platform leverages the distributed computing capabilities of cloud computing, integrates federated learning to ensure data privacy, and utilizes advanced power system simulation technologies. This approach significantly enhances simulation efficiency and accuracy while providing data security and privacy protection. The platform offers reliable decision support for power system planning, operation, and control. © 2024 IEEE.

关键词： Cloud platforms

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The Characteristics and Suppression Protection Measures of AC Filter Closing Inrush Current Considering Residual Voltage and Residual Charge

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Engineering Letters 2024年第12期32卷 2191-2199页

作者： Gao, Hongguang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

In recent years, China has implemented numerous ultra-high voltage direct current transmission projects, offering notable advantages such as high stability, low losses, and cost-effectiveness. These projects necessitate frequent switching of AC filters at converter stations to meet reactive power requirements. During filter switching, a substantial closing inrush current is generated. The capacitors in AC filters, made up of multiple small capacitors in series and parallel, can retain residual charge and voltage if flashovers occur in some capacitors. Moreover, due to the capacitors' memory effect, rapid re-closing of the AC filter shortly after system operation can result in residual voltage, leading to a larger closing inrush current. This study presents a residual charge calculation model for high-voltage capacitors and a residual voltage model for quick re-closing scenarios established through PSCAD/EMTDC simulations. The research not only analyzes the detrimental effects of closing inrush current and overvoltage on the filter system caused by residual charges and voltage but also proposes innovative solutions with practical implications. To expedite the discharge of capacitors with residual charges, a novel adjustable discharge resistance model is proposed, which can enhance discharge speed by four times, significantly improving the efficiency and safety of high-voltage transmission systems. In addition, this paper introduces a new type of capacitor flashover fault identification method, which can achieve more accurate identification of the fault location and the number of capacitors that flashover occurs, thereby significantly facilitating the maintenance and troubleshooting of high-voltage systems. © 2024, International Association of Engineers. All rights reserved.

关键词： Cost effectiveness

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Cooperative control Strategy of Regional energy Storage and Thermal power Generation Considering Frequency Dynamic Response 9

Cooperative Control Strategy of Regional Energy Storage and ...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Li, Junhui Yu, Zhenbo Zhao, Yang Ma, Jie Jiang, Xiaoliang Yu, Haozheng Zhu, Xingxu Li, Cuiping Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Grid Henan Electric Power Company Development Planning Department Zhengzhou China Planning and Assessment Centre State Grid Henan Electric Power Company Zhengzhou China

ISBN: (纸本)9798350309638

With the continuous promotion of the goal of 'carbon peak, carbon neutral', China is building a new type of power system in which the proportion of wind power/photovoltaic energy is gradually increasing, but the scenario of a high proportion of renewable energy will also bring the overall system frequency regulation pressure due to the shortage of frequency modulation(FM) capacity and other problems. This paper firstly quantifies the system frequency dynamic response(FDR) modeling under the scenario of high proportion of renewable energy, and derives the expression of the system overall frequency fluctuation characteristics;then according to the quantitative analysis results, it proposes the strategy of coordinating the conventional thermal power units with regional energy storage (ES) for joint frequency regulation, combining with regional ES for fast regulation and bidirectional response to meet the demand of system frequency regulation;finally, it carries out the case study with the northwestern regional grid, and the results show that the system frequency regulation reasonably meets the operational requirements and accurately verifies the validity of the proposed strategy. © 2024 IEEE.

关键词： Frequency response

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A Bi-Level Real-Time Dispatch Strategy for Large-Scale Electric Vehicles into Smart Grid Based on an Improved Rolling Horizon Method

SSRN

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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of large-scale EVs into the grid, an important challenge currently is how to improve the accuracy of the V2G activity while taking into account the interests of both EVs and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. An algorithm process is designed to find the relationship between the real-time price and the EVs load to be scheduled, to solve a real-time price that can maximize the income of the grid. In the lower-level strategy, the C&D schedule is developed for each EV to minimize the user cost, and the temporal scheduling constraint is ensured by grouping as well as parallel computing. simulation results show that the proposed real-time strategy effectively improves the accuracy of the V2G activity and increases profits for the grid and EVs. © 2024, The Authors. All rights reserved.

关键词： Vehicle-to-grid

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A Real-Time Charging and Discharging Scheduling Strategy for Large-Scale Electric Vehicles into Smart Grid Considering the Economic Benefits of Both Vehicle Owners and the Grid

SSRN

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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology The Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of integrating large-scale EVs into the grid, a significant challenge is to improve the accuracy of the guided charging and discharging (C&D) schedule for grid energy regulation while considering the economic implications for both EV owners and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level real-time pricing optimization strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. To solve a real-time price that can maximize the income of the grid, an algorithm process is designed to find the relationship between the real-time price and the load of to-be-scheduled-EVs (TSEVs). In the lower-level EV C&D load optimization strategy, an adaptive variable horizon scale (AVHS)-RHM is proposed to enhance the correction effect of the RHM. Additionally, the temporal scheduling constraint (TSC) of real-time dispatching is ensured through grouping and parallel computing. simulation results indicate that the proposed real-time dispatch strategy, compared to the commonly used time-of-use (TOU) pricing, reduces the maximum peak-valley load differences by 17.6% and the standard deviation by 6.9%. This effectively enhances the accuracy of EVs' participation in grid energy regulation and provides a viable solution to fully utilize EVs as part of flexible resources. © 2024, The Authors. All rights reserved.

关键词： Electric vehicles

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Mobile Hybrid Distribution Transformer Deployment Strategy Based on Spatial Coordinate system Mapping Optimization

Mobile Hybrid Distribution Transformer Deployment Strategy B...

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China International Conference on Electricity Distribution, CICED

作者： Yibo Wang Kaipu Liu Chen Liu Yu Liu Zhanhui Du Yuan Wang the Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Northeast Electric Power University Jilin China

ISBN: (数字)9798350368345

ISBN: (纸本)9798350368352

Under the background of ‘double carbon’, the power system is facing green change, and the distribution network is facing the challenge of distributed generation and diversified load. Traditional distribution transformers are unable to cope with local load peaks and sudden load growth. In order to cope with the problem of heavy overload caused by seasonal load, mobile hybrid distribution transformer (MHDT) has gradually attracted attention as an innovative solution. In this paper, the deployment strategy of MHDT is discussed, and an optimization method based on spatial coordinate system mapping is proposed to reduce the amount of calculation and improve the computational efficiency. Through the practical application case of an agricultural irrigation area in Jilin Province, the actual effect of this method in solving the problem of transformer heavy overload is verified. The results show that MHDT can effectively improve flexibility response ability of distribution system.

关键词： Irrigation Optimization methods Distribution networks Transformers Emergency services Stability analysis power electronics Hybrid power systems Distributed power generation Reliability

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