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International Conference on Optical Communications and Networks (ICOCN)

作者： Xuemei Zheng Xinze Chen KeyLaboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Northeast Electric Power University Jilin China

With the rapid development of communication technology, people increasingly need compact and efficient antennas that can operate at multiple frequencies. However, traditional antenna design methods, such as miniaturization and ultra wideband technology, are often insufficient in meeting the comprehensive requirements of modern communication systems. To address this issue, fractal based antenna design has become a promising solution. This article reviews the research progress of microstrip antennas based on fractal structures in recent years. The simulation results of various fractal based dual frequency microstrip antenna designs were presented, and analysis was conducted from antenna gain, radiation pattern, and other aspects.

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Research on Photovoltaic MPPT Based on Improved Butterfly Algorithm

Research on Photovoltaic MPPT Based on Improved Butterfly Al...

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IEEE International Conference on power and power and renewable energy (ICPRE)

作者： Zun Ma Xian Meng Chao Xing Binjiang Hu Yihua Zhu Liang Tu System Analysis and DC Technology Research Institute Electric Power Research Institute of Yunnan Power Grid Co. Ltd Kunming China Power system simulation and control technology department State Key Laboratory of HVDC EPRI CSG Guangzhou China Power system simulation and control technology department National Energy Power Grid Technology R&D Centre Guangzhou China Power system simulation and control technology department CSG Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

To solve slow response speed and poor stability of traditional MPPT algorithms under rapidly changing environmental conditions, a MPPT control strategy combining improved butterfly algorithm and disturbance observation method is proposed. Firstly, the butterfly position in the population is initialized by Tent map, increasing the search space; Secondly, Gaussian mutation strategy is introduced to make the algorithm break out of local extremes; Then, a dynamic probability switching mechanism is adopted to balance the weight relationship between global and local search, improving algorithm optimization efficiency; Finally, in the later stage, disturbance observation method is used to track the maximum power and reduce power oscillation. simulation examples show that the proposed algorithm can find the maximum power point quickly and accurately under both static and dynamic shading conditions, and the power output is more stable.

关键词： Maximum power point trackers Photovoltaic systems renewable energy sources Heuristic algorithms Switches Aerospace electronics Stability analysis Oscillators Optimization

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Photovoltaic Multi-Peak MPPT Method with Improved Particle Swarm Algorithm

Photovoltaic Multi-Peak MPPT Method with Improved Particle S...

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

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

An MPPT control strategy based on the combination of adaptive nonlinear mutation particle swarm optimization algorithm is proposed. The algorithm uses the tanh function to control the inertia weight, balances the ability of particles to optimize globally and locally, uses the ISRU function to control the learning factor, balances the weight relationship between individual learning and social learning, and improves the convergence speed of the algorithm. The nonlinear Cauchy mutation operation is proposed to expand the scope of optimization; Finally, the perturbation and observation method is used to track locally near the maximum power point to reduce power oscillation. The simulation validates that the photovoltaic MPPT control strategy based on the improved particle swarm algorithm can effectively get the maximum power point under shading conditions and improve the output efficiency of the PV array.

关键词： Maximum power point trackers Photovoltaic systems Electrical engineering Perturbation methods Asia Particle swarm optimization Oscillators

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Short-term power load forecasting method based on CNN-SAEDN-Res

arXiv

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arXiv 2023年

作者： Cui, Yang Zhu, Han Wang, Yijian Zhang, Lu Li, Yang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of Information and Electrical Engineering China Agricultural University Beijing100083 China

In deep learning, the load data with non-temporal factors are difficult to process by sequence models. This problem results in insufficient precision of the prediction. Therefore, a short-term load forecasting method based on convolutional neural network (CNN), self-attention encoder-decoder network (SAEDN) and resi- dual-refinement (Res) is proposed. In this method, feature extraction module is composed of a two-dimensional convolutional neural network, which is used to mine the local correlation between data and obtain high-dimensional data features. The initial load fore-casting module consists of a self-attention encoder-decoder network and a feedforward neural network (FFN). The module utilizes self-attention mechanisms to encode high-dimensional features. This operation can obtain the global correlation between data. Therefore, the model is able to retain important information based on the coupling relationship between the data in data mixed with non-time series factors. Then, self-attention decoding is per-formed and the feedforward neural network is used to regression initial load. This paper introduces the residual mechanism to build the load optimization module. The module generates residual load values to optimize the initial load. The simulation results show that the proposed load forecasting method has advantages in terms of prediction accuracy and prediction stability. Copyright © 2023, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Analysis of Subsynchronous Torsional Vibration of Wind-Thermal Bundling Delivery system via LCC-HVDC

Analysis of Subsynchronous Torsional Vibration of Wind-Therm...

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China International Electrical and energy Conference (CIEEC)

作者： Yue Zhao Gangui Yan Zhenyang Wang Shuang Ren Dazhong Wang Jianyu Guo dept. Ministry of Education Key Laboratory of Modern Power System Simulation control and Green Power Technology Northeast Electric Power University Jilin China

Recently, Wind-thermal bundled transmission via LCC-HVDC has become the main way of wind energy development and utilization in my country at present and in the future. The complex interaction between wind turbines, thermal power units, and LCC-HVDC needs to be further studied. In this paper, aiming at the direct-drive wind turbine group, thermal power unit and HVDC, the linearization model of the system is established, and the interactive coupling relationship between the connected equipment and the electrical damping of the thermal power unit is analyzed, and the mechanism of torsional vibration of thermal power unit shafting caused by wind-thermal bundling via LCC-HVDC is studied. mechanism. Based on the complex torque coefficient method, the influence of factors such as wind speed, control parameters, HVDC transmission power and control parameters on the electrical damping coefficient of thermal power units is studied. Finally, a time-domain simulation model is built in PSCAD/EMTDC, and the effectiveness of the electrical damping coefficient analysis results is verified through time-domain simulation and time-frequency analysis.

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Research on Transforming Effect and Calculation Method of MMC Converter on AC / DC Harmonics

Research on Transforming Effect and Calculation Method of MM...

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2021 IEEE Sustainable power and energy Conference, iSPEC 2021

作者： Cui, Liu Peng, Guangqiang He, Jingsong Wu, Jiyang Mao, Chizu Jiao, Ning Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc 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 Maintenance Test Center Ehv Power Transmission Company Guangzhou China Csg Key Laboratory for Dc Transmission Equipment State Evaluation and Fault Diagnosis GuangZhou China Sichuan University College of Electrical Engineering and Information Technology Chengdu China

ISBN: (纸本)9781665414395

Modular multilevel converter (MMC) is currently the most concerned voltage source converter topology in the field of flexible direct current transmission (VSC-HVDC). Due to its non-linear characteristics, harmonic components will inevitably be generated in AC and DC systems, which may affect the operation of equipment and system, cause protection equipment to malfunction, and cause interference to neighboring communications. The MMC converter is a non-linear device, which can be considered as an amplifying modulator with voltage and current conversion functions. The AC and DC networks are coupled to each other through the MMC converter to generate dynamic harmonic interaction. In recent years, harmonic instability problems have appeared in many VSC-HVDC projects. Compared with other converter topologies, the transfer relationship of harmonics on the AC and DC sides of MMC converters has not been studied in depth. In this paper, by studying the AC/DC harmonic conversion characteristics of MMC converters, it reveals the conversion law of MMC converters between AC/DC harmonics;through theoretical derivation, the quantitative calculation method of MMC harmonic transmission process is given. PSCAD simulation results prove the correctness of the above results. © 2021 IEEE.

关键词： Transmissions

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Modeling of Doubly Fed Wind power Generation system and simulation Study on Grid-Connection Stability 4

Modeling of Doubly Fed Wind Power Generation System and Simu...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Zhang, Jingyue Zhang, Jie Hu, Yufeng Lu, Yuanhong Huang, Libin Zhao, Yanjun Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

Addressing the stability challenges posed by the unpredictability and intermittent nature of wind power output during grid integration, and aiming to enhance the understanding of factors influencing grid stability upon wind power system connection and to implement efficient control measures, a grid- connected model of a doubly fed induction generator (DFIG) was established utilizing a customized version of the RTRES (Real-Time power system simulation) software, specifically designed for emerging power systems and aligned with wind farm realities. Stability simulations for grid connection were conducted under both voltage regulation mode and reactive power regulation mode across a range of wind speeds, revealing distinct technical behaviors. The findings suggest that the generator's terminal voltage, terminal current, active power, reactive power, and rotor speed exhibit strong correlations with variations in wind speed, and that all parameters are capable of stabilizing following initial disturbances. © 2024 IEEE.

关键词： Windmill

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Multi-Objective Hybrid energy Storage Optimization Configuration Model for Reducing Thermal power Frequency Modulation Loss

Multi-Objective Hybrid Energy Storage Optimization Configura...

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International Conference on power system technology (powerCON)

作者： JunHui Li ZhenZhuo Zhao ZhiQiang Zhao HaoJun Liu CuiPing Li Zhi Li CaiQi Jia XingXu Zhu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Hami Power Supply Company Hami City Xinjiang Uygur Autonomous Region China

The TPU (Thermal power Unit) equipped with HESS (Hybrid energy Storage system) can effectively increase of FM (Frequency Modulation) performance of the unit and decrease the FM loss of the thermal power unit. The difficulty of rational allocation of ES (energy Storage) is how to improve the FM performance of TPU and reduce the life cycle cost of ES. Therefore, the paper establishes a multi-objective hybrid energy storage optimization configuration model aimed at reducing the FM loss of thermal power. Firstly, a double-layer control policy of thermal power-hybrid energy storage is proposed. The first layer is the thermal power-hybrid energy storage AGC instruction allocation strategy based on EMD (Empirical Mode Decomposition). The second layer is a hybrid energy storage control strategy with flywheel ES priority action and lithium battery second response. Then, a multi-objective optimal configuration model considering the difference between life cycle cost and benefit and AGC comprehensive evaluation index Kp is established. It uses the multi-objective PSO (Particle Swarm Optimization) algorithm based on TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) to solve the model, which can avoid contingency of traditional multi-objective PSO in determining optimum solution in the Pareto solution set. Finally, based on the simulation analysis of power plant operation data in North China, the results verify the availability and feasibility of the established model.

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

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

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Communications technology and Computer Science (ACCTCS), Asia-Pacific Conference on

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

ISBN: (数字)9798350359985

ISBN: (纸本)9798350359992

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.

关键词： Computer science Fluctuations Costs Hydroelectric power generation Optimal scheduling Wind power generation Reservoirs

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Capacity and power Allocation Strategy of energy Storage Participating in Grid Peak Shaving

Capacity and Power Allocation Strategy of Energy Storage Par...

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

作者： Tengyun Qi Qiren Wu Jianping Liu Fei Xu Yajing Li He Li Yiming Wang Cuiping Li Junhui Li China Three Gorges Corporation Beijing China China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University) Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (纸本)9781665434263

High penetration wind power grid with energy storage system can effectively improve peak load regulation pressure and increase wind power capacity. In this paper, a capacity allocation method of energy storage system under peak load regulation scenario is proposed. The upper model combines the investment cost, operation cost, arbitrage income, environmental income, and wind power grid benefits during the entire life cycle of the energy storage system, with the goal of maximizing the net income during the energy storage life cycle; the lower model optimizes the charging and discharging power of the energy storage system according to each energy storage configuration scheme in the upper modeling, and its objective is to minimize the standard deviation of system net load and waste wind power. Finally, under the conditions of local grid load and wind power data, verified the effectiveness of capacity allocation strategy.

关键词： Costs system integration Production Wind power generation Lithium batteries Regulation Resource management

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