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

作者： Xuefeng Gao Wenwen Qin He Wang Yiwen Yao Cuiping Li Hao Peng Xingxu Zhu Junhui Li State Grid Jilin Electric Power Company Limited Economic and Technical Research Institute Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University China Songyuan Power Supply Company State Grid Jilin Electric Power Company Limited Songyuan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

Aiming to address the stability challenges in power systems caused by the volatility and uncertainty of photovoltaic (PV) power generation, an optimization strategy for PV-storage systems incorporating demand response (DR) is proposed. Which is based on PV generation characteristics, Time-of-Use Pricing (TUP), and demand side flexibility. A multi-objective optimization model is established to balance the operational and environmental costs of PV-storage configuration. Building on dynamic adjustments at the demand side, a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm with dynamic inertia weighting is introduced to enhance global search capability for optimized energy storage (ES) configuration. In case study, two scenarios are designed to validate the effectiveness of the proposed model in reducing costs and improving PV utilization rates.

关键词： Photovoltaic systems Costs Uncertainty Heuristic algorithms Optimization models power system dynamics power system stability Demand response Optimization Load modeling

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Multi-Objective Model Predictive control Strategy in Waked Wind Farms for Optimal Fatigue Loads

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SSRN 2023年

作者： Zhong, Cheng Ding, Yicheng Wang, Husai Chen, Jikai Wang, Jian Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China Northeast Electric Power University College of Electrical Engineering Jilin Province Jilin132012 China

With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to the wake interaction of the wind turbines (WTs), there is more than one solution to distributing power reference among the operating WTs, which can be exploited as an optimization problem for the second goal, such as fatigue load alleviation. In this paper, a multi-objective closed-loop model predictive controller is developed that minimizes the wind farm tracking errors, the dynamical fatigue load, and the load deviation from the mean value. The controller is evaluated in a medium-fidelity model. A 3*3 WTs simulation case study is used to demonstrate the control performance for different penalty factor settings. The results indicated the WF can alleviate dynamical fatigue load and have no significant impact on power tracking. However, it can bring excessive loads on the upstream WTs. By adding a trade-off between the load equalization and dynamical fatigue load, the load differences between WTs are significantly reduced and loads of the upstream WTs can be reduced, while the dynamical fatigue load slightly increases when selecting a proper penalty factor. © 2023, The Authors. All rights reserved.

关键词： Fatigue load

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Closed-loop simulation Method of Stability control system Based on Virtual Component technology 6

Closed-loop Simulation Method of Stability Control System Ba...

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6th IEEE Conference on energy Internet and energy system Integration, EI2 2022

作者： Ma, Qinfeng Zhu, Yihua Liu, Mingshun Chang, Dongxu Pu, Qingxin Li, Chengxiang Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guizhou China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (纸本)9798350347159

The stability control system is an important means to ensure the safe and stable operation of the power system. In view of the shortcomings of the existing offline/real-time simulation test methods, a closed-loop simulation scheme based on virtual component technology is proposed. The virtual component technology of the stability control device is researched, and the virtualization method of the external hardware interface of the device is designed. On this basis, a closed-loop simulation framework of the stability control system under the offline/real-time simulation test environment is proposed. The functional logic of each component under the framework are analyzed. The calculation and feedback process of the entire closed-loop simulation system are analyzed in depth, which effectively solves the difficulty of simulation analysis and test verification of large-scale stability control system, providing a new method for the research and verification of stability control system strategy. © 2022 IEEE.

关键词： control system stability

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P2P transaction method for distributed energy prosumers based on reputation value

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Global energy Interconnection 2023年第3期6卷 308-323页

作者： Tao Jiang Ting Hua Hao Xiao Linbo Fu Wei Pei Tengfei Ma Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012P.R.China Institute of Electrical Engineering Chinese Academy of Sciences Beijing 100190P.R.China School of Electronic Electrical and Communication Engineering(EECE)University of Chinese Academy of SciencesBeijing 100049P.R.China

Adding a reputation incentive system to peer-to-peer(P2P)energy transactions can encourage prosumers to regulate their trading behavior,which is important for ensuring the efficiency and reliability of P2P *** study proposed a P2P transaction mechanism and game optimization model for prosumers involved in distributed energy sources considering reputation-value ***,the deviation of P2P transactions and the non-consumption rate of distributed renewable energy in P2P transactions were established as indicators to quantify the influencing factors of the reputation value,and a reputation incentive model of P2P transactions for prosumers was ***,the penalty coefficient was applied to the cost function of the prosumers,and a non-cooperative game model of P2P transactions based on the complete information of multi-prosumers was ***,the Nash equilibrium problem was transformed into a nonlinear optimization problem by constructing the modified optimal reaction function,and the Nash equilibrium solution of the game was obtained via a relaxation ***,the modified IEEE 33-node test system based on electricity market P2P and an IEEE 123-node test system were used to analyze and verify the cost and P2P participation of prosumers considering the reputation *** results show that the addition of the reputation incentive system can encourage prosumers to standardize their interactive transaction behavior and actively participate in P2P *** can also improve the operation efficiency of the power grid and promote the perfection of the P2P transaction mechanism.

关键词： P2P Prosumer Non-cooperative game Reputation value Multi-agent of interest Operation optimization

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Dynamic Security Assessment Method of power system Based on Improved XGBoost 3

Dynamic Security Assessment Method of Power System Based on ...

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2020 3rd International Conference on Mechanical, Electrical and Material Application, MEMA 2020

作者： Ren, Jihong Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin Jilin132012 China

With the deployment of wide-area measurement systems (WAMS) equipment, dynamic security assessment (DSA) based on artificial intelligence (AI) has more and more advantages. For the power system, the number of transient stable cases is much larger than that of unstable cases, which leads to insufficient learning of unstable cases and affects the evaluation effect of the model. In addition, during the stability assessment process of the power system, the misjudgment cost of unstable case is much higher than that of stable case. Based on the above two points, we proposed a DSA method of power system based on improved XGBoost. The proposed method introduces the weight adjustment factor into the loss function to balance the quantity variance of two type cases and the difference of misjudgment cost, which greatly reduces the misjudgment rate of unstable samples. The test results on IEEE 16-machine 68-bus test system and IEEE 50-machine 145-bus test system show that the proposed method can have higher recognition of the unstable samples and can be applied to DSA. © Published under licence by IOP Publishing Ltd.

关键词： system stability

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Research on Active Participation of Distributed Photovoltsics in power Grid Primary Frequency control Strategy

SSRN

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SSRN 2024年

作者： Zhang, Runtao Wang, Lei Zeng, Siming Cheng, Ziwei Su, Can Li, Zhiwei Zhang, Hao State Grid Hebei Electric Power Research Institute Shijiazhuang China Hebei Key Laboratory of Simulation Modeling and Control for Energy Internet Shijiazhuang China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding071003 China

Distributed photovoltaic systems can actively contribute to the primary frequency regulation of the power grid by reserving capacity. Traditional power reduction methods often employ fixed load reduction ratios, potentially resulting in inadequate frequency regulation capacity and unnecessary reserve power. This paper centers on optimizing power reserve control, starting with the construction of a two-stage model for a photovoltaic grid-connected inverter power generation system. It includes the design of a maximum power estimation method and the implementation of photovoltaic power reduction operation. The article proposes a strategy to utilize photovoltaic backup capacity for achieving primary frequency modulation effects in a short time scale. Additionally, it adopts a variable power reserve ratio operation strategy over the long term, aiming to enhance photovoltaic power generation and optimize solar energy utilization without compromising the grid's frequency and quality. Finally, a MATLAB/Simulink model is developed to validate the effectiveness of the control strategy. simulation results indicate that the proposed strategy satisfies frequency regulation requirements, enhances power generation efficiency, and improves the economic viability of photovoltaic operations. © 2024, The Authors. All rights reserved.

关键词： Frequency modulation

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Coordinated optimal configuration scheme of wind-solar ratio and energy storage considering wind-solar complementary characteristics

Coordinated optimal configuration scheme of wind-solar ratio...

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energy, power and Grid (ICEPG), International Conference on

作者： Xiuyu Yang Zhiwen Li Jian Peng Gang Miu Shaowei Yuan Zhengyin Zhu Key Laboratory of Modern Power System Simulation Control and New Green Energy Technology of Ministry of Education Northeasst Electric Power University Jilin China State Grid Xinjiang Power Supply Company State Grid Urumqi Power Supply Company Urumqi City China

ISBN: (数字)9798350377798

ISBN: (纸本)9798350377804

This study proposes a collaborative optimization configuration scheme of wind-solar ratio and energy storage based on the complementary characteristics of wind and light. On the premise of maintaining the stability of the wind-solar hybrid power generation system, the optimal allocation model of wind-solar ratio and energy storage considering the complementary characteristics of wind-solar is established with the minimum total cost of planning. At the same time, three indicators of power fluctuation index, wind-solar permeability and new energy abandonment rate are proposed to evaluate the scheme.

关键词： Wind energy generation Costs Stability criteria Wind power generation power system stability Planning Permeability Resource management Optimization energy storage

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Research on Comprehensive Assessment Method of Battery Consistency Based on Scaled energy Storage power Station

Research on Comprehensive Assessment Method of Battery Consi...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Kepaiyitulla Tursun Ming Li Yunping Zheng Sijia Zong Xingyan Luo Shangxing Wang Xiangjun Li Xinjiang Key Laboratory of Whole Process Simulation for Power System State Grid Xinjiang Electric Power Research Institute Urumqi China State Key Laboratory of Operation ad Control of Renewable Energy and Storage systems China Electric Power Research Istitute Beijing China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

In the long-term operation of a megawatt-scale energy storage plant composed of series-parallel connections, the single batteries will have different degrees of inconsistency problems. To solve this problem, this paper proposes a comprehensive assessment method based on the consistency of batteries in scaled energy storage power stations. According to the consistency indexes such as single battery voltage and voltage polarity difference in series connection between modules, the consistency evaluation criterion of battery monomer was established. Based on the historical data of a battery energy storage system, the consistency evaluation criterion of a single battery is used to analyze the consistency of a single battery of an energy storage power station at different charging and discharging stages. The results show that this method can accurately assess cell consistency. It provides data support for the health status assessment of energy storage plants and reduces the systematic operational risk of energy storage plants.

关键词： Electrical engineering systematics Battery energy storage system Asia Voltage Hazards Batteries

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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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Electronics and Devices, Computational Science (ICEDCS), International Conference on

作者： Xiaoming Lu Yiwen Yao Yechen Xin Dingheng Wang Xinhong Wang Xin Xu Hao Li Economic and Technological Research Institute State Grid Jilin Electric Power Co. Ltd Changchun China 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 Changchun China

ISBN: (数字)9798331527624

ISBN: (纸本)9798331527631

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.

关键词： energy consumption power demand Costs Distribution networks Motors Time factors Vehicle dynamics Optimization energy storage Load modeling

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

Research on Partition Method of Distributed Photovoltaic Clu...

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Smart Grids and energy systems (SGES), International Conference on

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

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.

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