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检索条件"机构=Hunan Provincial Key Laboratory of Power System Operation and Control"

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Application of deep reinforcement learning in power system scheduling strategy simulation 4

Application of deep reinforcement learning in power system s...

引用

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

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

ISBN: (纸本)9798331518066

With the increasing scale and complexity of power system, the current scheduling strategy methods often have the problems of limited adaptability and unsatisfactory results. Therefore, a power system scheduling method using DQN (Deep Q Network) is introduced in this study. This method uses neural network model to learn and optimize scheduling strategy, and has strong adaptability and enhanced global optimization ability. Comparative evaluations with genetic algorithms and particle swarm algorithms on IEEE-118 and SG-126 datasets show that the proposed method has significant advantages in terms of cumulative reward and stable runtime. © 2024 IEEE.

关键词： Deep reinforcement learning

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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...

引用

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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Distributed power system Simulation and Monitoring Supported by Cloud Technology : A grid optimization scheduling method based on MADRL 4

Distributed Power System Simulation and Monitoring Supported...

引用

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

作者： Luo, Hui Zhang, Jie Hu, Yufeng Zhang, Jingyue Guo, Haiping Huang, Libin Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid 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 National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

This study explores the optimization of Distributed Generation systems (DGS) within a Multi-Agent Deep Reinforcement Learning (MADRL) framework. The focus is on transforming the overall optimization goal of the system into a global reward function and designing local rewards adapted to heterogeneous agents. Using the IEEE 33 node system as a case study, the impact of power aggregation and load management from photovoltaic systems, energy storage systems, electric vehicle charging facilities, and HVAC systems is analyzed. The results demonstrate that the proposed edge-cloud collaborative framework optimizes resource allocation and scheduling. The cloud platform is capable of integrating data from diverse sources and managing it in a unified manner, thereby coordinating the operations of multiple heterogeneous agents. The scalability and flexibility of cloud technology allow for the dynamic adjustment of computational resources according to demand, ensuring global optimization and the judicious allocation of resources. © 2024 IEEE.

关键词： Cloud platforms

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Optimal Design of Three-phase Induction Motor Based on MATLAB Genetic Algorithm 4

Optimal Design of Three-phase Induction Motor Based on MATLA...

引用

4th International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2023

作者： Shi, Shuqi Fang, Zilong Tang, Hongwei Shaoyang University Hunan Provincial Key Laboratory of Grids Operation and Control On Multi-Power Sources Area Shaoyang China School of Automation Central South University Changsha China

ISBN: (纸本)9798350308082

The design of three-phase induction motor can be planned according to the experience value, but because of the variable of the motor design, complex constraints, to seek an optimal design scheme, only by the experience is far from enough, so the computer is needed to write a suitable optimization design program for high speed and efficient design. The genetic algorithm is applied to the optimal design of three-phase induction motor, a mathematical model for optimizing induction motors was constructed, optimization variables were determined, and an objective function for motor cost was established. Through the principles and basic operations of genetic algorithm, the cost of the motor is optimized. The results show that the optimal design scheme is reasonable and the motor cost is reduced by 8.5%, which verifies the correct of the optimization scheme. © 2023 IEEE.

关键词： Induction motors

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Grid-Forming Photovoltaic-Energy Storage system with Higher Flexibility Based on DC-Link Voltage Synchronization control

Grid-Forming Photovoltaic-Energy Storage System with Higher ...

引用

2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Wu, Mingkang Feng, Xingyu Zhu, Yihua Wang, Chenchen Luo, Chao Li, Kai Electric Power Research Institute China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangdong Province Guangzhou City China School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350380514

As the grid strength gradually weakens, there is an urgent need to enhance the weak grid adaptability and precise control capability of photovoltaic-energy storage (PV-ES) systems. This paper analyzes the basic principles of the PV-ES virtual synchronous generator (PV-ES VSG) control scheme under the common DC bus. A flexible control scheme for grid-connected PV-ES systems is proposed based on DC-link voltage synchronization control (DVSC). Compared to existing PV-ES VSG control schemes, the proposed scheme can significantly improve the control flexibility of the energy storage and increase the diversity of its control algorithms, while maintaining similar power support capabilities and grid-connected performance. This improvement not only optimizes the performance of the energy storage unit in the power grid, but also reduces its burden and pressure on DC bus voltage control. Simulation results based on MATLAB/Simulink and the experiment results based on the Hardware-In-Loop (HIL) platform validate the effectiveness and rationality of the proposed scheme. The comparison with the PV-ES VSG also shows the advantages of the proposed scheme. © 2024 IEEE.

关键词： Synchronous generators

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Research on Constant Voltage Frequency Ratio control of AC Asynchronous Motor Based on DSP 4

Research on Constant Voltage Frequency Ratio Control of AC A...

引用

4th International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2023

作者： Shi, Shuqi Ren, Long Lin, Li Shaoyang University Hunan Provincial Key Laboratory of Grids Operation and Control On Multi-Power Sources Area Shaoyang China Central South University School of Automation Changsha China

ISBN: (纸本)9798350308082

In this paper, TMS320F2812 type DSP is utilized as the core of system control chip, according to the principle of variable voltage variable frequency (VVVF) and sine wave pulse width modulation technology(SPWM), thus the start accelerating of three-phase asynchronous motors is successfully achieved. In order to simplify the structure of the system and reduce the cost of the entire device, the main system circuit adopted the construction AC-DC-AC, constituting three-phase bridge rectifier by a power diode(SR) and three-phase inverter bridge by an insulated gate bipolar transistor(IGBT). By changing the output voltage and frequency of main circuit, the constant voltage frequency ratio control of three-phase asynchronous motor can be achieved. The experimental results verify the correctness and feasibility of the proposed scheme. © 2023 IEEE.

关键词： Induction motors

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Research on the Application of Big Data in Transient Stability Simulation of power systems 4

Research on the Application of Big Data in Transient Stabili...

引用

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

作者： Zhang, Jie Guo, Haiping Zhao, Yanjun Huang, Libin Hu, Binjiang Luo, Hui Zhang, Jingyue State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology R&d Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou5106633 China

ISBN: (纸本)9798331518066

With the rapid expansion of smart grids, there is a growing complexity in power system dynamics, which increases the availability of real-time operational data and underscores the need for advanced transient stability simulations. Traditional transient stability analysis methods are constrained by their computational demands and may compromise accuracy. Furthermore, deep learning-based methods often focus on the application of a single algorithm, lacking a systematic consideration of the entire simulation process. To address these challenges, this study proposes a novel approach that leverages big data to enhance transient stability simulations. By integrating deep learning and ensemble learning techniques, the model significantly improves the accuracy and efficiency of predicting transient instabilities. The methodology utilizes a multi-source data acquisition and fusion scheme to ensure data comprehensiveness and a distributed storage architecture to handle large-scale datasets effectively. Advanced visualization technologies are also employed to enhance the interpretability of the simulation results. This comprehensive framework aims to support the safe and stable operation of power systems amid increasing complexity and data availability. © 2024 IEEE.

关键词： Transient stability

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Fault Condition Testing of Photovoltaic Inverter controller Based on Active Support Technology using Hardware-In-the-Loop in RTDS 1

Fault Condition Testing of Photovoltaic Inverter Controller ...

引用

2024 1st International Conference on Smart Grids and power systems, ICSGPS 2024

作者： Li, Shengnan Hu, Yun He, Xin Zhu, Yihua He, Tingyi Tu, Liang Deng, Can Luo, Chao Su, Mingzhang Zeng, Guanming Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG 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

Photovoltaic power generation is an important component of sustainable power generation and has been widely utilized. Grid connected inverters are key equipment in photovoltaic integrated systems, which directly affect the stability of the system. In this paper, the transient model of photovoltaic inverter controller based on active support technology is derived. The transient mathematical model and corresponding self-closing loop control strategy are analyzed. Based on the RTDS, a hardware controller semi-physical simulation platform is established to simulate and test photovoltaic inverters under different fault and control methods. Finally, the simulation data obtained from the self-closing loop control method and the hardware control method are compared to verify the stability and reliability of the photovoltaic inverter hardware controller. © 2024 Published under licence by IOP Publishing Ltd.

关键词： controllers

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Unified Grid-Forming control for MMC-MTDC systems with Renewable power Integration 6

Unified Grid-Forming Control for MMC-MTDC Systems with Renew...

引用

6th International Conference on HVDC, HVDC 2024

作者： Yang, Renxin Cai, Haiqing Su, Mingzhang Gu, Haohan Chen, Zhihao Cai, Xu Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Shanghai China Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China National Energy Power Grid Technology R&d Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350387759

Using modular multilevel converter-based multi-terminal high voltage direct current (MMC-MTDC) transmission to integrate large-scale renewable power into the main power grid is an important development trend in China. To cope with the stability issues under weak grid conditions, different grid-forming control strategies have been proposed for the MMC in MTDC transmission systems. These control strategies have different structures due to different control targets and are difficult to unify. To solve this problem, a novel grid-forming control structure is proposed in this paper. The MMC emulates the synchronous generator (SG), and the submodule capacitor voltage emulates the SG rotor speed. On this basis, by utilizing the modulation control degree freedom, a unified DC-side controller is proposed to realize different control targets. Finally, the simulation model of a 4-terminal MMC-MTDC transmission system with renewable power integration is established in the PSCAD/EMTDC. The effectiveness of the proposed strategy is verified by the simulation results. © 2024 IEEE.

关键词： grid-forming MMC-MTDC multi-targets control unified control structure

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Research on equivalent ice thickness monitoring model of overhead transmission lines based on representative span 3

Research on equivalent ice thickness monitoring model of ove...

引用

2024 3rd International Conference on New Energy, Energy Storage and power Engineering, NESP 2024

作者： Yin, Weihua Luo, Guocai Jian, Lingyun Liao, Tingjian Xiao, Qian Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area Shaoyang University Shaoyang422000 China Hunan Spec. Equipment Electric Energy Conversion and Control Engineering Technology Research Center Shaoyang University Shaoyang422000 China State Grid Hunan Province Electric Power Company Shaoyang Power Supply Branch Shaoyang422000 China

This paper aims to enhance the precision and efficiency of the calculation model for the equivalent icing thickness of tangent towers. The current calculation model for equivalent icing thickness of transmission lines lacks consideration of the influence of representative spans and controlled meteorological conditions. It also overlooks the impact of the concentrated load of the tension insulator string on the suspension shape of the conductor, as well as the compensatory capability of the suspension insulator string to counteract stress on the overhead transmission lines when deflected, resulting in calculation deviations. To resolve these issues, this paper investigates the dynamic characteristics of transmission line parameters and proposes a calculation model for equivalent icing thickness based on the representative span. The improved model demonstrates enhanced efficiency and accuracy in measuring the equivalent icing thickness for on-line icing-monitoring of transmission lines. Experimental results confirm a reduction in relative error compared to reference values, with the relative error gradually decreasing as ice thickness increases, indicating enhanced accuracy. The efficacy of this model is substantiated through experiments, offering a more efficient and precise method for monitoring ice thickness in engineering applications. © Published under licence by IOP Publishing Ltd.

关键词： Ice

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