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SSRN 2023年

作者： Tian, Chongyi Kong, Xiangshun Peng, Bo Zhang, Feng Ma, Xin School of Information and Electrical Engineering Shandong Jianzhu University No.1000 Fengming Road Ji’nan250101 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University No.17923 Jingshi Road Ji’nan250061 China

The current global energy crisis has prompted a significant rise in the use of low carbon units, making it a crucial research trend in the field of urban energy system, especially in terms of addressing the intermittency of renewable energy generation. This study proposes an integrated energy system planning model (UIES) for urban areas. In addition, to tackle the issue of carbon emissions, a reward and punishment ladder-type carbon transaction model is presented, which aims to control the level of carbon emissions within urban areas. To evaluate the performance of the UIES model, the authors develop an objective function that integrates the sum of equipment operation and maintenance costs, equipment daily acquisition costs, purchased energy costs, carbon trading costs, and integrated demand response (IDR) costs. The stochastic features of renewable energy sources are taken into account in the proposed approach, and an information gap decision theory (IGDT) based strategy is designed to quantify the uncertainty interval and intermittent fluctuations associated with renewable energy. This approach also aims to mitigate any negative effects and variations that may occur during the urban energy system's IDR process. Finally, the simulation tests to demonstrate that the average decrease in operating cost of both models based on IGDT strategy are 7.36%, and the peak of electrical (EL), heating (HL) and cooling load (CL) are reduced by 20.45%, 12.38% and 5.02% respectively. in conclusion, the energy service providers in urban areas can effectively manage renewable energy fluctuations by independently adjusting the operation sequence of equipment, and the economy and stability of the UIES can be effectively improved by the proposed dispatch strategy. © 2023, The Authors. All rights reserved.

关键词： Renewable energy resources

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High-frequency oscillation mechanism analysis of wind farm-side MMC station considering converter transformer stray capacitance

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2023年第1期153卷

作者： Li, Guanqun Ye, Hua Bin, Zijun Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ 17923 Jingshi Rd Jinan 250061 Peoples R China Shandong Res Inst Ind Technol 17923 Jingshi Rd Jinan 250061 Peoples R China State Grid Jiangsu Elect Power Co Ltd Elect Power Res Inst 1 Paweier Rd Nanjing 211103 Peoples R China

High-frequency oscillation is one of the critical issues threatening the stability of modular multilevel converter (MMC) based high-voltage direct current (HVDC) system. A new 2 kHz high-frequency oscillation has occurred in the wind farm-side MMC station of Rudong wind farm integrated MMC-HVDC project of China during no-load charging process. The mechanism of this high-frequency oscillation is different to previous ones. Apart from the time delay of MMC, the stray capacitance of converter transformer makes a significant contribution to the high-frequency oscillation. This paper investigates the high-frequency oscillation mechanism of wind farm-side MMC station during no-load charging process. First, the harmonic state space (HSS) model of a wind farm-side MMC station is established. In addition to the leakage inductance, the stray capacitance is considered in the converter transformer model. To reveal the significance of the converter transformer stray capacitance in this new high-frequency oscillation, the root loci of the system are calculated with varying stray capacitance. Then, the state variables with high degree of participation in the high-frequency oscillation modes are determined by the participation factor analysis. A reduced-order model suitable for the high-frequency oscillation analysis is further established based on the participation factor analysis results. Next, the high -frequency oscillation mechanism is revealed by impedance analysis. Finally, the effects of system parameters are analyzed by the combination of eigenvalue analysis and impedance analysis. The analysis results are validated by electromagnetic transient simulations.

关键词： Eigenvalue analysis High-frequency oscillation Harmonic state space Impedance analysis Modular multilevel converter (MMC) Participation factor analysis

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Fast reconfiguration method of low-carbon distribution network based on convolutional neural network

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FRONTIERS IN ENERGY RESEARCH 2023年 11卷

作者： Yu, Yixiao Yang, Ming Zhang, Yumin Ye, Pingfeng Ji, Xingquan Li, Jingrui Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Shandong Peoples R China Shandong Univ Sci & Technol Coll Energy Storage Technol Qingdao Peoples R China Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Peoples R China

The existing meta-heuristic distribution network reconfiguration (DNR) algorithm has excellent optimization ability through iteration. However, it is difficult to realize the large-scale fast calculation and online real-time response of DNR solution. In order to improve the security and low-carbon economy of distribution network, this paper proposes a fast reconfiguration method of distribution network based on convolutional neural network (CNN). Taking IEEE 33 system and 185 node system as examples, the effectiveness of the proposed method is verified. The reasons why the proposed method can achieve better results are as follows: By mining the historical data of distribution network, the corresponding relationship between load mode (LM) and its optimal topology is established. For a load mode in actual operation, the reconfiguration scheme can be quickly obtained according to the established corresponding relationship. Thus, iterative calculation is avoided and computational efficiency is improved. A multi-branch CNN model is established based on the distribution network structure, and an inception module is introduced into CNN to improve the ability of CNN to extract data features. This model can reduce the dependence on the specific distribution network structure and is easy to expand.

关键词： convolutional neural network (CNN) rapid reconfiguration of distribution network load mode mixed training data driven

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Load Shedding Model and Algorithm Based on Minimum power Outage Lose 3

Load Shedding Model and Algorithm Based on Minimum Power Out...

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3rd International Conference on Environmental Prevention and Pollution control Technologies, EPPCT 2021

作者： Wang, Yasong Cao, Zenggong Wang, Chunyi Peng, Bo Du, Peng Guo, Yinglei Wei, Zhen Dong, Xiaoming Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Province Jinan250061 China State Grid Shandong Electric Power Company Shandong Province Jinan250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Shandong Province Qingdao266002 China

This paper combines the power outage loss caused by load shedding with the optimization problem of load shedding during power shortage, and proposes a load shedding model that seeks the minimum power outage loss under the system's security and economic constraints. The model is a kind of optimal power flow. In order to reduce the complexity of solving the model, this paper adopts an improved linear programming algorithm to solve the model. With the help of Jacobian matrix, the objective function and constraints of the system are linearized and the linear optimal solution in the iterative space of control variables can be found. Through multiple iterations the scheme with the minimum power outage loss is obtained that satisfies various constraints while the total power generation cost of the system is minimized The correctness and superiority of the model and algorithm are verified in the IEEE14-bus system. © Published under licence by IOP Publishing Ltd.

关键词： Electric load flow

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The Commonality of Economic dispatch Models Based on Scenario/Interval

The Commonality of Economic Dispatch Models Based on Scenari...

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

作者： Yishen Wang Renjie Wei Fengbin Sun Ruihan Zhang Tiechui Yao Lan Ren Future Science Park State Grid Smart Grid Research Institute Co Ltd Beijing China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education State Grid Smart Grid Research Institute Co Ltd Shandong University Jinan China

With the increasing penetration of renewable energy, how to maximize the acceptance of renewable energy on the basis of satisfying the economy security and reliability of the power system is an urgent problem to be solved. In this area, mathematical optimization methods such as robust optimization and stochastic optimization are generally used to construct models based on different uncertainty descriptions. Previous studies have shown that robust optimization has high computational efficiency but conservative results, while stochastic optimization has low computational efficiency but accurate results. Therefore, different studies will choose suitable methods based on the characteristics of the models to be constructed. However, existing studies have not thoroughly discussed whether there is a connection between the two methods. This paper first proposes an economic dispatch model based on scenario considering the admissible region of net load, and introduces a new affine strategy to transform this model into a deterministic form. Secondly, based on further exploration of the characteristics of economic dispatch models based on scenario/interval, the paper concludes that the two models are common when they are sufficiently precise. Finally, the correctness of the conclusion is verified on the IEEE-RTS system.

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Influencing Factor and Error Analysis of Operating Capacitor Voltage Transformer Harmonic Measurement 2

Influencing Factor and Error Analysis of Operating Capacitor...

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2021 2nd International Conference on Electrical Technology and Automatic control, ICETAC 2021

作者： Zhang, Yan Wang, Huajia Yu, Danwen Yang, Liu Cao, Wenjun Yang, Yongxin State Grid Shandong Electric Power Research Institute Jinan250003 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China State Grid Energy Research Institute Co. Ltd. Beijing100031 China

With the increasing demands of power quality monitoring and management, the problem of harmonic measurement error caused by the widespread operation of capacitor voltage transformers (CVT) in high-voltage power grids has been unavoidable. This paper analyses the influence of environmental factors on harmonic measurement error of CVT, and proposes a new method for analysing the harmonic measurement errors of operating CVT, which explains the unstable phenomenon of CVT measurement errors based on field comparison test, and provides a progressing screening method of effective analysis data. the CVT harmonic error characteristic analysis method proposed in this paper considers the impact of field installation conditions, electromagnetic environment, and other actual operating environment, which can reflect the actual harmonic error characteristics of CVT in field operation. A CVT harmonic measurement system is established based on the proposed method. The validation and effectiveness of the proposed method is illustrated on a field measurements of 1000kV CVT in Shandong Province. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Measurement errors

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Hierarchical nonlinear model predictive control for frequency support of wind farm

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2021年 129卷 106820-106820页

作者： Li, Guanqun Ye, Hua Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ 17923 Jingshi Rd Jinan 250061 Peoples R China

Nonlinear model predictive control (NMPC) has been applied to frequency support of a wind farm due to its capability of handling nonlinear dynamic constraints of wind turbines (WTs). However, the centralized NMPC (C-NMPC) suffers from huge computational burden and requires high performance computation facilities due to solution of the embedded optimization problem with a large number of variables. To resolve the problem, the C-NMPC is significantly improved and a new NMPC with a hierarchical structure (H-NMPC) is presented for fre-quency support of a wind farm. The NMPC optimization problem is decomposed into a coupled sub-problem and several decoupled sub-problems by exploiting its partially separable structure. WT controllers locally solve the decoupled sub-problems in a parallel way and then send sensitivities and active set information to the central controller. Afterwards, the central controller located at the wind farm immediately solves the coupled sub -problem and computes the Newton direction for next iteration. Compared with the centralized computing of C-NMPC, the proposed H-NMPC significantly reduces the computational burden of the central controller and increases the efficiency of NMPC without loss of optimality. The effectiveness, efficiency and robustness of H-NMPC are intensively validated by numerical simulation.

关键词： Frequency support Hierarchical control Nonlinear model predictive control (NMPC) Wind farm

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Optimization of Energy Storage Capacity to Smooth Wind power Fluctuation 3

Optimization of Energy Storage Capacity to Smooth Wind Power...

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3rd International Conference on Environmental Prevention and Pollution control Technologies, EPPCT 2021

作者： Cao, Zenggong Wang, Chunyi Peng, Bo Wang, Yasong Du, Peng Guo, Yinglei Wei, Zhen Dong, Xiaoming State Grid Shandong Electric Power Company Shandong Province Jinan250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Shandong Province Qingdao266002 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Province Jinan250061 China

The uncertainty and randomness of wind power generation bring hidden trouble to the safe operation of power distribution network. Combining energy storage system with wind power generation can effectively improve the output characteristics of wind power generation. In this paper, considering the investment cost of energy storage and the effect of suppressing the fluctuation of wind power output, the optimization of energy storage capacity under the scenario of wind power grid connection is studied. Firstly, the multi-objective capacity optimization model of the energy storage system is established to minimize the cost of the energy storage system and the variance of wind power system output equipped with energy storage. Then, the multi-objective optimization problem is transformed into a single objective optimization problem by introducing the weight coefficient of the objective function and the particle swarm optimization algorithm (PSO) is used to solve the problem. Finally, through the test of IEEE-33 bus distribution network system, the relationship curve between energy storage capacity and wind power fluctuation suppression effect is obtained. The results of numerical examples show the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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A Low-Carbon dispatch Strategy of Urban Integrated Energy system Considering Intermittent Features of Renewable Energy

SSRN

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SSRN 2023年

The current global energy crisis has prompted a significant rise in the use of renewable energy devices, making it a crucial research trend in the field of urban energy system, especially in terms of addressing the intermittency of renewable energy generation. This study proposes an integrated energy system planning model (UIES) for urban areas. In addition, to tackle the issue of carbon emissions, a reward and punishment ladder-type carbon transaction model is presented, which aims to control the level of carbon emissions within urban areas. To evaluate the performance of the UIES model, the authors develop an objective function that integrates the sum of equipment operation and maintenance costs, equipment daily acquisition costs, purchased energy costs, carbon trading costs, and integrated demand response (IDR) costs. The stochastic features of renewable energy sources are taken into account in the proposed approach, and an information gap decision theory (IGDT) based strategy is designed to quantify the uncertainty interval and intermittent fluctuations associated with renewable energy. This approach also aims to mitigate any negative effects and variations that may occur during the urban energy system's IDR process. Finally, the simulation tests demonstrate that energy service providers in urban areas can effectively manage renewable energy fluctuations by independently adjusting the working sequence of equipment, and the operation economy and stability of the urban integrated energy system can be effectively improved by the proposed UIES model and dispatching strategy. © 2023, The Authors. All rights reserved.

关键词： Renewable energy resources

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Security Assessment of Coal Mine power Grid Voltage Based on an Improved AHP-FCE

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MATHEMATICAL PROBLEMS IN ENGINEERING 2022年第1期2022卷

作者： Yanwen, Wang Peng, Chen Chen, Feng China Univ Min Electro Informat Engn Sch Mech Elect Technol Beijing Beijing 100083 Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch Control Jinan 250061 Peoples R China

The voltage level of a coal mine power grid directly affects the starting and normal operation of the electric motor, but the current grid monitoring system cannot use real-time grid structure parameters and power flow distribution data to conduct early warning research on the running status and voltage level of the power grid, so it cannot eliminate hidden danger in the operation of the power grid. Therefore, it is necessary to accurately and effectively evaluate the voltage safety level of the coal mine power grid. In this paper, an improved AHP-FCE method is proposed to evaluate the voltage safety level of a coal mine power grid. By replacing the comparison judgment matrix with the interval judgment matrix, the objectivity of the weight vector is improved while retaining expert subjectivity. According to the real-time power flow distribution data of the power grid monitoring system, the current voltage safety level of the power grid is evaluated. The results show that the improved AHP-FCE method can accurately evaluate the current grid voltage level, analyze the voltage development trend, give early warnings regarding coal mine grid voltage operation, and improve the monitoring function of the power monitoring system.

关键词： Coal mines

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