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检索条件"机构=Key Laboratory of Intelligent Dispatching and Control of Power Grid"

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Mid-Iong Term Photovoltaic power Forecasting Method Considering Periodicity Characterization

Mid-Iong Term Photovoltaic Power Forecasting Method Consider...

引用

IEEE/IAS Industrial and Commercial power System Asia (I&CPS Asia)

作者： Minyi Zhuo Ming Yang Peng Li Yi Sun Rui Liu Zhijie Zheng Bingke Shi Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Power Grid Planning Research Department Economic & Technology Research Institute of State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Accurate forecasting of mid-long term photovoltaic power plays a key role in site planning, operation scheduling and mid-long term plan development for new power system. Meanwhile, the uncertainty in solar power generation is a key factor influencing the precision of its forecasting. This paper proposes a mid-long term PV power forecasting method considering periodic characterization, which first obtains the key meteorological factors through the maximal information coefficient, and extracts the timing features through ARIMA model for mid-long term PV power periodic component prediction. Then the results obtained from above are inputted to the LSTM model, which is trained using raw data to obtain the final PV power prediction results with high accuracy. Validation is carried out through the model's RMSE, MAE and MAPE metrics and the comparison of the model's forecasting results with traditional GRU model.

关键词： Photovoltaic systems Accuracy Uncertainty Meteorological factors Predictive models Feature extraction Data models power systems Planning Forecasting

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Research on Static Voltage Stability Index of Regional power Network with New Energy Stations Based on Voltage Stability Criterion

Research on Static Voltage Stability Index of Regional Power...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Qifei He Feng Qi Shen Wang Yuan Zeng Hao Sheng Junlong Ma National Electric Power Dispatching and Control Center State Grid Corporation of China Beijing China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China

With the increasing penetration of new energy, the problem of static voltage stability of power grid has become increasingly prominent, and there is an urgent need for a static voltage stability analysis method to simultaneously evaluate the new energy stations and load buses in a region. To solve this problem, this paper proposes a static voltage stability index based on the voltage stability criterion, which is used to judge the voltage stability of new energy station buses and load buses in the regional network. Firstly, based on the Thevenin equivalence method, the power network with a high proportion of new energy is equivalent to a single machine single load system; Secondly, the analytical static voltage stability index is derived based on the voltage stability criterion; Then the mechanism of this index is compared with L index from the analytical formula, and the reasons for the error of L index in the case of heavy load and large new energy generation are described; Finally, the validity and accuracy of the proposed index in judging the static voltage stability of new energy stations and load buses are verified based on the modified IEEE 3-unit 9-bus example with new energy stations.

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Relay Protection Setting Management System and Method Based on Blockchain Encryption Technology

Relay Protection Setting Management System and Method Based ...

引用

International Conference on power System Technology (powerCON)

作者： Qingfa Chai Yi Tang Quan Wang Jiayin Jiang Anning Wang Yudun Li Congcong Li Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

Aiming at the problems such as low efficiency of relay protection setting management and remote setting, risk of error in setting delivery and setting, and difficulty of quick warning of setting value mutation, this paper proposes a method of relay protection setting management and remote setting based on hash value check. A remote setting system of setting value is established, which is composed of block chain server, substation centralized control master station, control cloud platform and protection device. The setting value is set and transferred remotely in the form of file. The block hash encryption of the setting value file is carried out, and the block chain provides reliable data storage and transmission services, so that the setting value file cannot be tampered with in the flow of all parts. Ensure the high reliability of relay protection remote setting. The engineering test results show that the proposed method is reliable and effective, and can provide technical support for the reliable automatic setting of setting values.

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Analysis of the near-fundamental-frequency oscillation in an actual renewable energy system transmitted through MTDC grid

Analysis of the near-fundamental-frequency oscillation in an...

引用

12th International Conference on Renewable power Generation (RPG 2023)

作者： P. Xie Y. Yang L. Li Q. Lu F. Zhang B. Zhou Guangdong Power Grid Power Dispatching Control Center Guangzhou People's Republic of China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou People's Republic of China

Near-fundamental-frequency oscillation (NFFO) events were observed in a renewable energy system (RES) connected to a four-terminal direct current (MTDC) grid in China, which has the world's largest DC transmission network. The sending terminal of the MTDC grid includes various converter-interfaced generators, such as permanent magnetic synchronous generator (PMSG), doubly-fed induction generator (DFIG), and photovoltaic (PV). The oscillation phenomenon is unique since the NFFO frequencies of 44 Hz and 56 Hz are relatively close to the fundamental frequency. For the first time, field-measured data are employed to investigate the oscillation characteristics. The analysis indicates that a resonance circuit (RLC) exists between the wind farm and the MTDC, and the wind farms display negative resistance at the oscillation frequencies. Further investigations identify the oscillation source based on the distribution of power flow at the oscillation frequencies. The paper also explores potential causes and countermeasures for the observed phenomena.

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Development of an Impedance Model Identification Device for Renewable Generators 18

Development of an Impedance Model Identification Device for ...

引用

18th International Conference on AC and DC power Transmission, ACDC 2022

作者： Wu, Chen Liu, Wei Xie, Yigong Xie, Xiaorong Huang, Wei Zheng, Chao Dong, Wenkai Planning and Construction Research Center of Yunnan Power Grid Co. Ltd. Kunming650011 China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China Yunnan Electric Power Dispatching & Control Center Kunming650011 China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

Recently, with the rapid deployment of renewables such as wind and solar photovoltaic, wide-band oscillations have emerged gradually, which have brought out a serious threat to the stability of the power system. To deal with such oscillation issues, the impedance model method is extensively adopted. However, the existing method for the impedance model identification (IMI) is mainly applied to the electromagnetic transient models of the renewable generators (RGs), which may deviate from the actual operation. In this paper, an IMI device is developed, which can be used to identify the impedance model of the actual RGs. Firstly, the main structure and principle of the developed IMI device are introduced. Then, based on the device, an IMI platform is further constructed. Finally, the impedance model of the direct-drive and double-fed wind turbine generators (WTGs) is obtained based on the developed IMI device and platform, and according to the impedance models, the characteristics of the two types of the WTGs are analysed. © ACDC 2022. All rights reserved.

关键词： Wind Turbine Generators

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Distribution Defense Hardening Against Typhoon Disasters Considering Decision-Dependent Uncertainty and Optimal Restoration Schedule

Distribution Defense Hardening Against Typhoon Disasters Con...

引用

International Conference on power and Energy Technology (ICPET)

作者： Yangjun Zhou Wei Zhang Weixiang Huang Shan Li Chenying Yi Bin Feng Juntao Pan Liwen Qin Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China Guangxi Power Grid Co. Ltd. Nanning China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

Distribution Defense Hardening (DDH) is an effective measure to reduce the economic losses caused by natural disasters such as typhoons. However, previous works have neglected the coupling between the line reinforcement decision and the optimal restoration scheduling of maintenance teams. This paper presents an integrated framework to improve the resilience of distribution networks to typhoon disasters. Firstly, Monte Carlo sampling method was used to simulate and quantify the spatio-temporal state of the distribution network under typhoon disaster. DDU reflects the impact of enhanced decision-making on distribution lines, and its modeling was integrated into the scenario simulation to solve it. Then, the scenario simulation was integrated into the proposed two-stage Stochastic Mixed Integer Programming (SMIP) model. The order of magnitude of line reinforcement decisions results in high computational complexity. Therefore, the Sample Average Approximation (SAA) algorithm was introduced to solve this problem. Finally, the proposed framework and its solution algorithm are validated on an IEEE 33-node system. The significant cost savings and resilience improvement demonstrate the effectiveness of the proposed framework.

关键词： Schedules Uncertainty Monte Carlo methods Tropical cyclones Disasters Stochastic processes Distribution networks Approximation algorithms Loss measurement Resilience

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Study on power Market Bidding Strategies for Aggregating Electric Vehicles in Virtual power Plants

Study on Power Market Bidding Strategies for Aggregating Ele...

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Energy Engineering and power Systems (EEPS), International Conference on

作者： Ning Wu Weidong Chen Rui Lin Jing Xiao Leping Sun Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning China Guangxi Power Grid Co. Ltd Nanning China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

Considering challenges such as power volatility and load instability in distributed renewable energy generation within virtual power plants (VPPs), there are inherent risks and instabilities for VPPs to participate in the power market. Electric vehicles (EVs), as controllable loads and reserve energy storage devices, can enhance the coordination and complementation of multiple renewable energy sources in VPPs, thus achieving optimal overall benefits. This paper first investigates the travel patterns of EVs. Subsequently, based on the travel patterns, this study clusters EVs and uses them as the reserve power for VPPs to participate in the day-ahead market bidding, thus leveling out the volatility of VPPs. A bidding strategy model is built to optimize the overall benefits of VPPs. Finally, the model is solved to verify its validity and the correctness of the solution method, proving the effectiveness of aggregating EVs in VPPs for power market bidding.

关键词： Renewable energy sources Electricity Clustering algorithms Virtual power plants Electric vehicles power markets power systems Energy storage

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A Novel Pre-synchronization control Strategy for Virtual Synchronous Generator Based on NLADRC-PLL 4

A Novel Pre-synchronization Control Strategy for Virtual Syn...

引用

4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Geng, Shaobo Wang, Qiang Ren, Jiangbo Li, Yongli Chen, Xiaolong Li, Song State Grid Hebei Electric Power Corporation Dispatching and Control Center Hebei China Tianjin University Key Laboratory of Smart Grid of the Ministry of Education Tianjin China

ISBN: (纸本)9781728171494

Due to the mismatched voltage amplitude, phase and frequency between virtual synchronous generator (VSG) and utility grid, there may exist significant impulse current when VSG connects to the gird through the point of common coupling (PCC). This paper designs a NLADRC-PLL and proposes a novel pre-synchronization control strategy to decrease the impulse current. Firstly, a phase lock loop based on nonlinear active disturbance reject control (NLADRC-PLL) is designed to obtain the voltage information of the PCC quickly and flexibly. Then, PCC voltage information obtained by NLADRC-PLL is embedded into both active and reactive control loops of VSG through certain logic control. Finally, the impulse current caused by the VSG-grid connection in the presence of PCC voltage magnitude, frequency and phase suddenly changing is effectively suppressed. Simulation results of 5 cases are given to demonstrate the effectiveness and feasibility of the proposed presynchronization control strategy. © 2021 IEEE.

关键词： Synchronization

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Whale Algorithm-Based Optimization of Orderly Charging Strategies for Electrical Vehicles

Whale Algorithm-Based Optimization of Orderly Charging Strat...

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Energy Engineering and power Systems (EEPS), International Conference on

作者： Jianbin Lu Ning Wu Weidong Chen Rui Lin Jing Xiao Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China Guangxi Power Grid Co. Ltd Nanning China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

As of October 2023, the number of new energy vehicles in China has surpassed 18 million. The surge in electrical vehicle (EV) numbers has led to significant adverse impacts on the power grid due to the charging load they create. Unorderly large-scale charging of EVs, in particular, exacerbates the problem by adding additional peaks to the existing demand peaks, severely affecting the stability of the power system. Therefore, it holds paramount significance in guiding EVs toward orderly charging. This paper commences by analyzing the impact of unorderly EV charging on the power grid, culminating in an orderly charging strategy. This strategy clearly defines the expected outcomes through an objective function and ensures feasibility and effectiveness through constraint conditions. The orderly charging strategy undergoes optimization with the aid of an enhanced Whale Optimization Algorithm (WOA), followed by corresponding case studies. This paper considers multiple objectives and constraints in the construction of the orderly charging strategy and effectively optimizes the strategy using an enhanced optimization algorithm, thereby facilitating orderly charging for EV users and reducing fluctuations in grid load.

关键词： Costs Whales power system stability Minimization Linear programming Stability analysis power grids Whale optimization algorithms Surges Optimization

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Methodology for Regional Carbon Emission Projections and Scenario Analysis Based on the STIRPAT Model

Methodology for Regional Carbon Emission Projections and Sce...

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System Simulation Technology and its Application (CCSSTA), IEEE China Conference on

作者： Xihao Xu Xiangyu Kong Yang Wang Jiancun Liu Yubo Wang Fanfan Yu Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid Tianjin University Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

Analyzing the factors that influence carbon emission reduction and predicting the peak year of carbon emissions will help the region clarify the direction of emission reduction efforts and take the lead in achieving carbon peak and carbon neutrality. This paper proposes a regional dual-carbon target and path planning method. Firstly, an indicator system is established to explore the relationship between regional carbon emissions and factors such as the economy, population, and energy efficiency consumption. Indicators with higher correlation are selected through gray correlation analysis. Then, the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model is constructed to predict carbon emissions in the region. Lastly, a scenario design is conducted for the dual-carbon target, predicting carbon emissions under different scenarios while considering carbon sinks. The results are analyzed to finalize the regional dual-carbon target and path.

关键词： Energy consumption Analytical models Correlation Economic indicators Stochastic processes Predictive models Carbon neutral Path planning Systems simulation Planning

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