检索结果-内蒙古大学图书馆

intelligent Power and Systems (ICIPS), International Conference on

作者： Yuanzhen Zhu Xinyu Wei Tianshu Li Yiheng Chen Ning Zhou Qiao Fang Kang Zhao Runjia Sun Shandong Smart Grid Technology Innovation Center State Grid Shandong Electric Power Company Electric Power Science Research Institute Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

Energy storage station (ESS) and wind farm (WF) have the potential to serve as a black-start sources to accelerate the power system restoration after blackout. However, the voltage security problem when start the auxiliary machines of power plants limit their reliability as black-start sources. A voltage control method is proposed for ESS and WF combined black-start sources to improve the voltage security during black-start. Firstly, the black-start process based on grid-forming ESS and WF is presented, and the voltage control framework is established. Then, a predictive control method considering the impact of active power on voltage variations is proposed, in which different optimization modes are established to obtain the active and reactive control sequences for WF and ESS. Finally, black-start simulation with Matlab/Simulink demonstrate the proposed method can improve the voltage security level when starting auxiliary machines of power plants.

关键词： Simulation Wind farms Regulation Security Reliability Voltage control Power generation Predictive control grid forming Energy storage

来源：评论

学校读者我要写书评

暂无评论

An Optimal Decision-Making Method for Offshore Wind Power Considering Multiple Transmission Modes

An Optimal Decision-Making Method for Offshore Wind Power Co...

引用

Clean Energy Storage and Power Engineering (CESPE), International Conference on

作者： Ranran An Yue Yang Xiaobing Liang Sichao Pan Bohan Yang Jiancun Liu Electric Power Research Institute Guangdong Power Grid Co. Ltd Guangdong China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

With the increasing scale of offshore wind farms and the diversification of power transmission technologies, selecting the most suitable transmission scheme requires a comprehensive analysis of technical feasibility, economic efficiency, and grid adaptability. This paper investigates various offshore wind power transmission methods, including highvoltage alternating current (HVAC), high-voltage direct current (HVDC), and hybrid HVAC/HVDC systems. A multi-objective decision-making framework is proposed, incorporating factors such as transmission distance, power capacity, system reliability, reactive power compensation, and overall economic cost. A case study of a deep-sea wind power cluster in China is presented to evaluate five different transmission schemes. The results demonstrate that while each transmission method has unique advantages and limitations, hybrid HVAC/HVDC transmission offers a balanced solution in terms of reliability, technical complexity, and cost-effectiveness. The proposed decisionmaking model provides a valuable reference for optimizing offshore wind power transmission strategies, contributing to the development of low-carbon, intelligent energy systems.

关键词： Reactive power Costs Decision making High-voltage techniques Wind power generation Wind farms Hybrid power systems Reliability Frequency control Optimization

来源：评论

学校读者我要写书评

暂无评论

Resilience Assessment of Distributed Distribution Networks Taking into Account Sudden Natural Conditions

Resilience Assessment of Distributed Distribution Networks T...

引用

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

作者： Huayu Song Xiangyu Kong Jiancun Liu Xudong Song Wenlong Yang Hongbin Liu Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin Universityy Tianjin China Electric Power Scientific Research Institute of Guangdong Power Grid Co. Guangzhou China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

Understanding and improving the reliability of distribution grids under extreme weather conditions in the context of global climate change is important for ensuring stable socio-economic operation and improving the quality of life of the public. The current global assessment of distribution grid reliability under extreme weather conditions faces challenges such as insufficient data, modeling limitations, insufficient consideration of multidimensional impacts, technical resource constraints, and global change uncertainty. Through this paper, we hope to provide new perspectives and ideas for power system researchers and practitioners to jointly explore effective strategies for distribution network reliability and resilience under extreme weather. This study enhances the resilience assessment of distribution networks. It takes into account the generation and consumption dynamics of the network, the unpredictability of power supply and demand, as well as the impact of network topology and equipment on its reliability, and utilizes the Markov process to perform comprehensive reliability analysis of the network. In terms of assessment techniques, the Monte Carlo simulation method simulates the stochastic nature of severe weather, including its severity, timing, and duration, while quantifying its impact on the network through fault modeling. In terms of assessment metrics, the network is divided into two phases in order to establish a precise and clear system of network resilience assessment metrics. Through literature review, modeling analysis, and actual case studies, the current status of distributed generation application in extreme weather is explored, its impact on distribution network reliability is assessed, and future research directions and practical suggestions are proposed.

关键词： Analytical models Uncertainty Distribution networks Reliability theory Power system reliability Timing Reliability Socioeconomics Meteorology Resilience

来源：评论

学校读者我要写书评

暂无评论

Virtual Power Plant Optimization Scheduling Considering Large-Scale New Energy Connected to the grid

Virtual Power Plant Optimization Scheduling Considering Larg...

引用

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

作者： Zhiyuan Zhao Xiangyu Kong Delong Zhang Peirong Zhang Jingkai Zhu Qingrong Zheng Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Shanghai Municipal Electric Power Company Shanghai China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

In the context of the current “dual-carbon” strategy, large-scale acquisition of new energy sources will greatly impact the actual power grid due to the intermittent and uncertain nature of wind and solar energy. This paper proposed a virtual power plant (VPP) optimization scheduling considering large-scale new energy connected to the power grid. Firstly, an optimal scheduling scheme for real-time balancing of VPP is established. Then, considering the power deviation compensation mechanism with the objective function of maximizing the expected net profit of the VPPs, an optimal scheduling method is obtained, which deals with the uncertainties brought by new energy and reduces the cost of deviation penalties. The proposed method reduces the bidding deviation penalties by considering the compensation mechanism for the intra-day deviation. The example results show that the model proposed in this paper improves the expected profit of the virtual power plant to a certain extent.

关键词： Wind Uncertainty Wind energy Profitability Optimal scheduling Solar energy Virtual power plants Power grids Real-time systems Systems simulation

来源：评论

学校读者我要写书评

暂无评论

Load Flexibility Evaluation Method for Industrial Parks Based on SPA and TOPSIS

Load Flexibility Evaluation Method for Industrial Parks Base...

引用

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

作者： Yubo Wang Xiangyu Kong Yang Wang Haixuan Zhang Shunyu Wu Shuai Luo 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 State Grid Tianjin Electric Power Company Tianjin China State Grid Tianjin Electric Power Company Economic and Technological Research Institute Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

With the requirement for an increased share of renewable energy, park load flexibility is needed to balance fluctuations between supply and demand. The factors affecting the load flexibility of the park are analyzed from four dimensions: high quality, high efficiency, security, and low carbon. The index system for evaluating the load flexibility of the park is constructed. Given the relevance of the load flexibility assessment indexes of the park, the grey entropy algorithm is improved, and the combined assignment method is proposed to enhance the assignment of the indexes’ weights. The quantitative assessment method of park flexibility is proposed based on the coupling of SPA (Set Pair Analysis) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The simulation shows that this method can solve the shortcomings of traditional TOPSIS well and make the quantitative assessment results of park load flexibility more accurate, which can be a guide for evaluating the flexibility of other urban industrial parks.

关键词： Couplings Technological innovation Supply and demand Green products Systems simulation Indexes Security Carbon Sustainable development Load modeling

来源：评论

学校读者我要写书评

暂无评论

Surface Charging Phenomena on HVDC Spacers for Compressed SF_(6) Insulation and Charge Tailoring Strategies

引用

CSEE Journal of Power and Energy Systems 2020年第1期6卷 83-99页

作者： Chuanyang Li Yuan Xu Chuanjie Lin Geng Chen Youping Tu Yao Zhou Zhipeng Lei Tao Han Simone Vincenzo Suraci Jian Wang Weidong Liu M.Tariq Nazir Shun He Andrea Cavallini Giovanni Mazzanti Davide Fabiani Jinliang He Electrical Insulation Research Center Institute of Materials ScienceElectrical and Computer EngineeringUniversity of ConnecticutStorrsCT 06269USA. China Electric Power Research Institute Beijing 100192China Department of Electrical Electronicand Information Engineering“Guglielmo Marconi”University of BolognaViale Risorgimento 2Bologna40136Italy State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Beijing Area Major Laboratory of High Voltage and Electromagnetic Compatibility North China Electric Power UniversityBeijing 102206China Shanxi Key Laboratory of Mining Electrical Equipment and Intelligent Control National and Provincial Joint EngineeringTaiyuan University of TechnologyTaiyuan 030024China Key Laboratory of Smart Grid of Education Ministry School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Mechanical and Manufacturing Engineering University of New South Wales SydneyNSW 2052Australia Electric Power Research Institute Yunnan Electric Power Grid Co.ltd.KunmingYunnan 650217China

Surface flashover of spacers is a key factor limiting the application of HVDC GIS/GIL,while the charge accumula-tion on the surface of the spacer could have a potential adverse effect on the surface flashover *** paper discusses the laws regarding distribution patterns of surface charges and the related *** field-dependent property is discussed in detail to comprehensively illustrate the charge transport mecha-nism and explain the research differences regarding different surface charge patterns obtained by previous *** addition,the main surface charge control methods for epoxy resin are summarized and *** potential research directions of charge control methods and key points in manufacturing of spacers used in HVDC GIS/GIL are also explored.

关键词： GIL HVDC insulator SF6 surface charge accumulation surface flashover

来源：评论

学校读者我要写书评

暂无评论

Electricity and Heat Load Forecasting for Integrated Energy System Based on Variational Modal Decomposition and Deep Neural Networks

Electricity and Heat Load Forecasting for Integrated Energy ...

引用

Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Shuibin Hu Xiangyu Kong Delong Zhang Dahua Li Xianxu Huo Chao Pang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Tianjin Electric Power Company Electric Power Research Institute Tianjin China

ISBN: (数字)9798331510107

ISBN: (纸本)9798331510114

Load forecasting is crucial for the optimal scheduling of integrated energy systems(IES). With the increasing complexity of system load due to demand diversification and load coupling, this paper proposes a method for electricity and heat load forecasting based on Variational Mode Decomposition(VMD) and Deep Neural Networks . First, VMD decomposes the loads into components with different central frequencies, providing more stable load eigenmode functions. Then, a hybrid model combining Convolutional Neural Networks(CNN) and Long Short-Term Memory networks(LSTM) is used to extract time-series features, with parameter optimization performed using the Salp Swarm Algorithm(SSA). A case study of a real IES demonstrates the model's superior predictive performance.

关键词： Couplings Accuracy Load forecasting Electricity Predictive models Feature extraction Stability analysis Forecasting Resistance heating Load modeling

来源：评论

学校读者我要写书评

暂无评论

Optimization and Scheduling of Wind-Photovoltaic-Integrated Energy System Based on ISSA

Optimization and Scheduling of Wind-Photovoltaic-Integrated ...

引用

Clean Energy Storage and Power Engineering (CESPE), International Conference on

作者： Shunyu Wu Xiangyu Kong Shuai Luo Yang Wang Yi Gao Tianchun Xiang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

A multi-objective scheduling model of the park integrated energy system (PIES) with an improved Sparrow Search Algorithm (ISSA) is proposed for the problem of economy, stability, and environmental protection of PIES containing photovoltaic cells, wind turbines, and batteries. PIES includes three kinds of electricity, heat, and gas loads, as well as coal-fired units, gas units, wind, and photovoltaic power generation units. Aiming at the economic dispatching problem of PIES by dispatching model of PIES of the park is carried out. Economic cost and utilization rate of clean energy are taken as objective functions. The ISSA algorithm is used to solve the multi-objective function, and the example analysis shows that the proposed model is conducive to reducing the total cost of system operation. The result of the example verifies the feasibility, superiority, and applicability of ISSA in solving the multi-objective optimal scheduling store.

关键词： Green energy Costs Spirals Systems operation Optimal scheduling Wind power generation Dispatching Stability analysis Wind turbines Load modeling

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Impact of Urban and Electric Power Big Data Economy on Pollution Reduction and Carbon Reduction Based on Benchmark Regression Model

Analysis of the Impact of Urban and Electric Power Big Data ...

引用

Clean Energy Storage and Power Engineering (CESPE), International Conference on

作者： Zixuan Qi Xiangyu Kong Yang Wang Yi Gao Shuai Luo Tianchun Xiang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China China State Grid Tianjin Electric Power Company Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

Currently, in promoting ecological civilization construction in China, the coordinated governance of pollution and carbon reduction is regarded as the core strategy and implementation focus. As a new economic transformation and upgrading model, the Electric power big data economy is becoming essential in promoting this process. The entropy method is used to construct evaluation indicators for the Electric power big data economy, pollution reduction, and carbon reduction. Subsequently, a benchmark regression model was built for testing based on carefully considering other variables that may affect pollution reduction and carbon reduction through benchmark regression analysis. Finally, exploring the diversity and specificity of the impact of the Electric power big data economy on pollution reduction and carbon reduction from different dimensions - regional economic differences, Electric power size classification, and specific backgrounds of each city's development stage aims to provide targeted strategic recommendations for policymakers, ensuring the coordinated promotion of the healthy development of Electric power big data economy and environmental protection goals.

关键词： Economics Analytical models Pollution Biological system modeling Urban areas Carbon dioxide Big Data Benchmark testing Data models Power systems

来源：评论

学校读者我要写书评

暂无评论

Simulation of Fast Cascading Failures Considering Voltage Ride Through Capability of Renewable Generation

Simulation of Fast Cascading Failures Considering Voltage Ri...

引用

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

作者： Dongbao Lv Shanshan Qiu Yujun Zhou Changgang Li Junjun Yang Wei Xu Xing Lei Changhui Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China NARI Group Corporation State Grid Electric Power Research Institute Nanjing China State Grid Shanghai Municipal Electric Power Company Shanghai China Shandong Smart Grid Technology Innovation Center State Grid Shandong Electric Power Company Electric Power Science Research Institute Jinan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the rapid development of renewable generation, the evolution process of fast cascading failures in the power system with a high proportion of renewable generation turns out to be more complicated. There are few existing fast cascading failure models that take into account the voltage ride through (VRT) capability of renewable generation. The portrayal of the dynamic characteristics of renewable generation still needs to be improved. In response to this, the VRT control model and VRT protection model have been established to comprehensively depict the output characteristics and disturbance tolerance capability of renewable generation in fast cascading failures. Finally, the simulation results of the AC-DC hybrid receiving-end system with a high proportion of renewable generation show that the established models can effectively depict the influence of VRT capability of renewable generation in fast cascading failures, providing a more comprehensive basis for the analysis of fast cascading failures under the access of a high proportion of renewable generation.

关键词： Renewable energy sources Voltage fluctuations Simulation Power system protection Power system dynamics System integration Delays Power system faults Voltage control Transient analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：