检索结果-内蒙古大学图书馆

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

作者： Junhui Li Zhenbo Yu Yang Zhao Jie Ma Xiaoliang Jiang Haozheng Yu Xingxu Zhu Cuiping Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China Development Planning Department State Grid Henan Electric Power Company Zhengzhou China Planning and Assessment Centre State Grid Henan Electric Power Company Zhengzhou China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

With the continuous promotion of the goal of “carbon peak, carbon neutral”, China is building a new type of power system in which the proportion of wind power/photovoltaic energy is gradually increasing, but the scenario of a high proportion of renewable energy will also bring the overall system frequency regulation pressure due to the shortage of frequency modulation(FM) capacity and other problems. This paper firstly quantifies the system frequency dynamic response(FDR) modeling under the scenario of high proportion of renewable energy, and derives the expression of the system overall frequency fluctuation characteristics; then according to the quantitative analysis results, it proposes the strategy of coordinating the conventional thermal power units with regional energy storage (ES) for joint frequency regulation, combining with regional ES for fast regulation and bidirectional response to meet the demand of system frequency regulation; finally, it carries out the case study with the northwestern regional grid, and the results show that the system frequency regulation reasonably meets the operational requirements and accurately verifies the validity of the proposed strategy.

关键词： renewable energy sources Frequency modulation Wind energy Statistical analysis power system dynamics Thermal engineering Thermal analysis

来源：评论

学校读者我要写书评

暂无评论

AC Network-Constrained Local Electricity Market Mechanism in Low-voltage Distribution Networks

AC Network-Constrained Local Electricity Market Mechanism in...

引用

2022 IEEE power and energy Society General Meeting, PESGM 2022

作者： Yang, Jiajia Yan, Gangui Yang, Yulong Chen, Guo Li, Chaojie Wen, Fushuan Northeast Electric Power University Ministry of Education Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW2052 Australia School of Electrical Engineering Zhejiang University Hangzhou China Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Estonia

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

This paper proposes a fully decentralized local electricity market mechanism backboned by a modified version of the Alternating Direction Method of Multipliers (ADMM). Comparing with the state-of-the-art peer-to-peer (P2P) market in local distribution systems, the proposed electricity trading mechanism comprehensively incorporates power network constraints formulated by an Alternating Current (AC) power flow model. In the proposed method, nodal voltages are designed as the only public variables shared among participants. Privacy of each participant is thus sufficiently preserved without exposing the bid data to the others. Meanwhile, the proposed method can also ensure the global optimality of social welfare in electricity transactions. Comprehensive case studies on the IEEE 33-node distribution system are conducted to demonstrate the feasibility and effectiveness of the proposed electricity trading mechanism. © 2022 IEEE.

关键词： power markets

来源：评论

学校读者我要写书评

暂无评论

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

arXiv

引用

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

来源：评论

学校读者我要写书评

暂无评论

MODELING METHOD OF OPLC THERMAL CIRCUIT MODEL BASED ON SUPERPOSITION PRINCIPLE 10

MODELING METHOD OF OPLC THERMAL CIRCUIT MODEL BASED ON SUPER...

引用

10th renewable power Generation Conference, RPG 2021

作者： Hu, Bo Wang, He Zhou, Guiping Xu, Xiangsheng State Grid Liaoning Electric Power Co. Ltd. Shenyang China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781839536069

Optical fiber composite low-voltage cable which combines optical fiber and power cable organically plays an important role in the construction of smart grid and the development of energy internet. The change of temperature impacts the working state of the OPLC and the precision of parameter measurement. Thus, the establishment of the OPLC thermal circuit model has important practical significance. Focusing on the attributes of different kinds and various constructions of the OPLC, this paper proposes an OPLC modeling method based on the superposition principle. Firstly, the asymmetric OPLC is equivalent to several symmetric sub-models, and then each model is superimposed by superposition principle. Secondly, the particle swarm algorithm is utilized to realize the model boundary distinguishing identification, improve the accuracy of the parameters, acquire a precise thermal circuit model, and then realize the accurate calculation of temperature at different positions of OPLC. This paper establishes an OPLC thermal circuit model based on the four-cable core OPLC and proves the effectiveness of the method through simulation analysis and experimental verification. © The Institution of Engineering and technology.

关键词： Optical fibers

来源：评论

学校读者我要写书评

暂无评论

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

Multi-Objective Hybrid Energy Storage Optimization Configura...

引用

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.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on Aggregation Model of Wind Farm Based on SSO Complex Torque Coefficient Analysis 3

Research on Aggregation Model of Wind Farm Based on SSO Comp...

引用

2020 3rd International Symposium on power Electronics and control Engineering, ISPECE 2020

作者： Xunwen, Su Hanqing, Cui Yuming, Pei Dongni, Zhang Pengyu, An Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China School of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin Heilongjiang China

In order to study the influence of the clustering aggregation of doubly-fed wind turbines (DFIG) in the wind-fire bundling system on the system subsynchronous oscillation (SSO), the expression of the DFIG output active power on the electrical damping De of thermal power units is first derived. Then the wind-thermal bundling system is built based on the IEEE first bench mark, and the wind farm is aggregated to several groups according to the rated power. The complex torque coefficient method is used to analyze the two cases of the same running state of the wind turbine and the difference of wind speed between the turbine and verified by time-domain simulation. The results show that the difference in wind speed within the DFIG groups has little effect on the system oscillation frequency before and after the aggregation of the wind farm, but there may be a slight error in the electrical damping coefficient before and after the aggregation,but the error does not affect the trend and analysis of damping characteristics of system. When studying the influencing factors of wind-fire bundling system SSOthe aggregated model can be uesd to improve simulation efficiency. © Published under licence by IOP Publishing Ltd.

关键词： Wind turbines

来源：评论

学校读者我要写书评

暂无评论

Optimal Scheduling of Multiple energy Storage-Thermal power Units under Electricity Market

Optimal Scheduling of Multiple Energy Storage-Thermal Power ...

引用

New energy and energy Storage system control Summit Forum (NEESSC)

作者： Baoju Li Shuguang Xu Jiyue Fu Xiaobiao Fu Yao Wang Xingxu Zhu Cuiping Li Junhui Li Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) China The Power Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun China

ISBN: (数字)9798350389012

ISBN: (纸本)9798350389029

Aiming at the increasing burden of power system peaking caused by the integration of large-scale new energy generation into the grid and the imperfect participation mechanisms for peaking entities in the power market, this paper proposes an optimal dispatch method for multiple storage and thermal power units. Firstly, to reduce the impact of the volatility of new energy generation on system peaking, the planned market trading power of new energy is optimally allocated with the goal of minimizing the net load on the grid. Secondly, a multi-storage lease transaction mechanism and an energy storage lease declaration model based on the whole life cycle cost are designed, and the charging and discharging power of individual storage units is optimized with the objective of maximizing revenue from multi-storage leasing. Finally, typical daily data are selected and simulated in the improved IEEE 30-bus system. The results show that the proposed method reduces the curtailment rate of new energy and effectively improves the economic efficiency of peaking for power market entities.

关键词： Supply and demand Optimal scheduling Vanadium Redox Lithium power markets Iron Batteries power systems Load modeling

来源：评论

学校读者我要写书评

暂无评论

Short-term power Prediction of Wind power Cluster Based on KOA-PLE

Short-term Power Prediction of Wind Power Cluster Based on K...

引用

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

作者： Nan Wu Mao Yang Chenglian Ma Yunpeng Jia Guozhong Fang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China Jilin Power Supply Company of State Grid Jilin Electric Power Co. Ltd Jilin China State Gird Northeast China Branch Jilin China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the gradual acceleration of the world's energy transformation, the construction of new energy is becoming more and more large-scale. At the same time, the proportion of new energy in the power grid is increasing, and the high volatility of wind power poses certain challenges to the stability and reliability of the power system. Therefore, accurate large-scale wind power prediction is very necessary. This paper presents a multi-task learning predicting method for wind power clusters. Firstly, the wind power cluster is divided into subgroups with similar output characteristics, and then the different subgroup power is used to predict the multi-task targets. Meanwhile, the Kepler optimization algorithm (KOA) is used to optimize the model parameters. When the method is applied to a wind power cluster in China, RMSE and MAE are reduced by 2.07% and 1.92% compared with the traditional multi-task learning method, which proves the effectiveness of the proposed method.

关键词： Learning systems Clustering algorithms system integration Wind power generation power system stability Multitasking Prediction algorithms Stability analysis Reliability Optimization

来源：评论

学校读者我要写书评

暂无评论

Design of Dual Band Microstrip Filter Based on SIR 19

Design of Dual Band Microstrip Filter Based on SIR

引用

19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Zheng, Xuemei Gao, Peng Han, Yaru Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China Jilin design department China Mobile Design Institute Co. Ltd Changchun China

ISBN: (纸本)9781665424462

As the core device in the field of communication, filter is developing towards miniaturization and high frequency. In this paper, a new dual frequency filter based on step impedance resonator is proposed. The resonant frequencies of the proposed stepped impedance resonator (SIR) dual frequency filter are 2.4GHz and 5.2GHz, and the isolation is greater than 20dB. © 2021 IEEE.

关键词： Microstrip filters

来源：评论

学校读者我要写书评

暂无评论

Damping Torque Analysis of the PLL Low-Frequency Components for Grid Following VSG

Damping Torque Analysis of the PLL Low-Frequency Components ...

引用

2022 International Conference on Cyber-Physical Social Intelligence, ICCSI 2022

作者： Zhou, Yichen Li, Sha Sun, Jiahui Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Electrical and Electronic Engineering North China Electric Power University Jilin China Guangdong Power Grid Corporation Dongguan Power Supply Bureau China Southern Power Grid Guangdong Dongguan China North China Electric Power University Electrical and Electronic Engineering Hebei Baoding China

ISBN: (数字)9781665498357

ISBN: (纸本)9781665498357

Phase-locked loop (PLL) is the key tool for the grid-connected inverter to track the frequency and phase of the grid voltage when synchronizing with the power grid. Therefore, the stability of PLL is particularly important. This paper proposes a damping torque analysis method to study the stability of the low-frequency component of PLL for the grid following a virtual synchronous generator (VSG). Firstly, the small signal model is established for the grid following VSG with a dual-loop structure. Secondly, the damping torque analysis method is provided especially for the stability analysis of PLL low-frequency components. And the corresponding stability criterion is constructed. Finally, significant factors that affect the stability of PLL low-frequency components are studied by the test system and the corresponding mechanism is revealed, including the influence of line reactance, PLL control parameters, and virtual damping. Results show that the stability of PLL is greatly dominated by the low-frequency component, whose stability can be improved by adopting a smaller integral coefficient of PLL, smaller virtual inertia, and larger virtual damping D. © 2022 IEEE.

关键词： Stability criteria

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：