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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Chen, Tao Wu, Shouyuan Zhu, Ke Key Laboratory of Power System Intelligent Dispatch Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143033

Traditional shielding layer protector of single-core cable can only suppress lightning and fault overvoltage, and can not solve the induced overvoltage and harmonic overvoltage caused by harmonics. When a discharge damping technology for shielding layer of single-core cable is proposed. Firstly, establish the coupling model of shielding layer by analyzing the mechanism of shielding layer induced voltage;then, study the induced overvoltage and resonance overvoltage caused by harmonics based on the model;furthermore, a technical scheme of reducing the overvoltage caused by harmonics by grounding the cable shielding layer through discharge capacitance and damping resistance in series is proposed;finally, give the method of choosing parameters of discharge capacitance and damping resistance. Theoretical results and simulated analysis confirm effectiveness of this method. © 2020 IEEE.

关键词： Cables

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Aggregated power Flexibility of Active Distribution Network Considering Reliability and Uncertainty

Aggregated Power Flexibility of Active Distribution Network ...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Song, Yichen Wang, Mingqiang Wang, Mengxia Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728143033

With the emergence of more and more distributed energy sources (DERs) in distribution network, the traditional distribution network is changing from passive to active, and it is expected to be capable of providing flexibility for transmission system. To effectively quantify the aggregated power flexibility of active distribution network (ADN) provided to upstream gird, the situation inside ADN must be respected. This paper proposes two aggregated power flexibility quantification models considering the uncertainties of DERs and load, and the reliability in ADN. The uncertainties are modelled by distributions and the system reliability is guaranteed by the expected energy not supplied (EENS) constraint. The optimization is solved by mixed integer linear programming (MILP). The performance of the proposed method is tested on the modified IEEE 33-bus distribution system. © 2020 IEEE.

关键词： Integer programming

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Modeling and Parameter Identification of Constant-Speed Centrifugal Chiller Based on Experiments

Modeling and Parameter Identification of Constant-Speed Cent...

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International Conference on power system Technology (powerCON)

作者： Xinchan Han Wen Zhang Dingyi Cheng Tingting Zhang Meng Liu Yuxin Xie Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute Jinan China JinXianDai Information Industry Co. Ltd. Jinan China

The expanding penetration of intermittent renewable energy resources is motivating the development of demand response (DR) services for balancing generation and load. Central air conditionings (CACs) are potential candidates due to their thermal energy storage capability. A suitable load model is the foundation for DR services. However, CACs contain multiple control subsystems whose parameters are difficult to obtain because of trade secrets. This paper focuses on the modeling and parameter identification of the constant-speed centrifugal chiller, which accounts for 60-70% of the power of CAC. A thermal-electrical model of a constant-speed centrifugal chiller is established to describe the dynamic operation process. In addition, the critical control parameters and the delay time of control systems are identified based on experimental data for a practical building chiller. The experimental results verified the effectiveness of the proposed model.

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Study on multi-timescale cascading failure in multi-infeed HVDC systems 5

Study on multi-timescale cascading failure in multi-infeed H...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Song, Kaige Wang, Xiaohui Xie, Zhenjian Li, Chen Chen, Qichao Wang, Fei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan China Economic and Technological Research Institute State Grid Jiangsu Electric Power Co. Ltd. Nanjing China State Grid Economic and Technological Research Institute CO . Ltd State Grid Corporation of China Bejing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With more power electronics deployed in power system, the propagation of cascading failure become more complex and it is necessary to investigate the mechanism of cascading failure in the novel power system. This paper reveals a new cascading failure mode in multi-infeed high voltage direct current (HVDC) systems. Firstly, the mechanism of multi-timescale cascading failure is proposed. Then the simulation results of multi-infeed HVDC systems which is carried out in power system department-Bonneville power administration (PSD-BPA) indicate that the dominant cascading failure modes in different timescales are different and they are coupling with each other. Finally, several dominant factors of different timescale cascading failure modes are pointed out. © 2022 IEEE.

关键词： Failure modes

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Research on Formulation and Decomposition of Medium and Long-Term Electric power Contracts

Research on Formulation and Decomposition of Medium and Long...

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3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Yun, Jiangyang Yang, Ming Shan, Yuechen Zhang, Changhang Huang, Shiying Yu, Yixiao Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781728156224

As the continuous advance of electricity market reform, medium and long-term electric power contracts play an important role in risk management, market stability and other aspects, so it is quite necessary to study medium and long-term electric power contracts. This paper analyzes the transaction process and mathematical model of the medium and long-term electric power contracts under different organizational modes. Finally, the decomposition of contract electricity quantity is analyzed. The bidirectional correction method is adopted in this paper, and the method is refined and perfected. Through this method, the contract electricity quantity can be decomposed rapidly in various practical situations.

关键词： electricity market medium and long-term contract the decomposition of contract electricity quantity bidirectional correction method

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Anomaly Detection of Wind Turbine Gearbox Based on Digital Twin Drive

Anomaly Detection of Wind Turbine Gearbox Based on Digital T...

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3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Zeng Xiangjun Yang Ming Yang Xianglong Bo Yifan Feng Chen Zhou Yu Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156224

Anomaly detection for wind turbines (WTs) can improve their operational reliability and reduce their operation and maintenance costs. In this paper, a new WT anomaly detection method based on digital twin drive is proposed, which combines the advantages of data-driven methods and model simulation technology. It can use actual WT SCADA data to guide the construction of simulation models. Meanwhile, the simulation analysis results can also be used to verify whether the actual data analysis results are credible. Compared with a single data analysis method or a single model simulation analysis method, the proposed method can improve the reliability of anomaly detection results through the interaction of actual WT data analysis and the virtual simulation model analysis. The proposed method is verified by a WT with gearbox failure, and the data analysis result is consistent with the simulation result, proving the effectiveness of the method.

关键词： anomaly detection data digital data analysis simulation

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Risk Assessment of Demand Response based on Distributed Privacy Data Acquisition

Risk Assessment of Demand Response based on Distributed Priv...

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China International Electrical and Energy Conference (CIEEC)

作者： Bo Liang Hanqi Li Guanting Chen Lei Xie Chang Liu Yankun Feng Shengnan Cao Yang Yang State Grid Shandong Electric Power Company Marketing Service Center (Metrology Center) State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University) Shandong University Jinan China

As demand response(DR) is gradually progressing toward the extensive participation and lower barrier to entry, a trend of diversification has been observed in DR participants, which greatly aggravates the unpredictability of its effect. Risk assessment of DR becomes the necessary link of future organization DR. However, due to the conflict between the centralized risk assessment and the customer privacy, the risk assessment of DR has been limited by insufficient data support. To solve this, a data acquisition and risk assessment method for DR is proposed in the paper. Decentralized access to privacy data is designed, so that customers' appeal for data privacy protection has been met, as well as the risk assessment of DR is supported by more data. The risk assessment method and its implementation by the blockchain are described. The simulation results verify the feasibility and effectiveness of the method.

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Two stage unit commitment considering multiple correlations of wind power forecast errors

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IET RENEWABLE power GENERATION 2021年第3期15卷 574-585页

作者： Wang, Chengfu Li, Xijuan Zhang, Yumin Dong, Yunhui Dong, Xiaoming Wang, Mingqiang Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China State Grid Shaoxing Power Supply Co Shaoxing 312000 Zhejiang Peoples R China Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao 266590 Shandong Peoples R China

When the correlation of wind power output among wind farms is not considered, the integrated stochastic characteristics of wind power will not be captured accurately. Using this inaccurate feature may lead to an impractical even a failing result of unit commitment (UC). Therefore, this paper proposes a multiple correlations model for wind power forecast errors (WPFEs), and to capture this multiple correlation feature in UC problem, a two-stage chance-constrained interval UC (CIUC) model is proposed. First, an analytical expression of multiple correlations, including spatial, temporal and conditional correlations, is presented to improve the description accuracy of stochastic WPFEs. To strike a balance between risk and operational cost, a chance-constrained decision method is developed to optimize the time-varying interval of wind power output in the first stage. Subsequently, an interval UC model is established to determine the optimal operational schedule in the second stage. Finally, the proposed CIUC model is solved using a solution strategy that combines column-and-constraint generation and sample average approximation. The effectiveness and practicality of the proposed method are verified via the numerical results for IEEE 39-bus and 118-bus systems.

关键词： Other topics in statistics Optimisation techniques power system management, operation and economics power system planning and layout Wind power plants Other topics in statistics Optimisation techniques

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A Short-Term Forecasting Method for Photovoltaic power Based on Ensemble Adaptive Boosting Random Forests 56

A Short-Term Forecasting Method for Photovoltaic Power Based...

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IEEE/IAS 56th Industrial and Commercial power systems Technical Conference

作者： Wang, Guanjie Yang, Ming Yu, Yixiao Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781728171951

Accurate and reliable forecast of Photovoltaic (PV) power is crucial for power system dispatch and control. In this paper, a novel short-term PV generation forecast approach based on ensemble adaptive boosting random forests (EABRF) is proposed. The approach sets the weight distribution for training samples and bootstrap sampling is applied. By this means, different sub-training data sets with weights are generated to train the decision trees. The output of random forests is that the average value of each decision tree. Further, by calculating the error rate and assigning corresponding weight to each random forests, the weighted result of random forests can be obtained. The distinguishing features of the proposed approach are as follows: (a) The approach reduces the risk of overfitting by using the idea of ensemble learning;(b) The proposed approach can plenty mine the information in multidimensional features;(c) It has good generalization and robustness by combining adaptive boosting with random forests. PV power forecasting has been conducted in four PV plants using the proposed approach with the historical PV power and numerical weather prediction (NWP) as the inputs. The results illustrate that the proposed method is effective for forecasting of PV power generation with satisfactory forecast accuracy.

关键词： Adaptive boosting ensemble learning numerical weather prediction photovoltaic power forecast random forests

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Adaptive current differential protection for active distribution network considering time synchronization error

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2022年 140卷

作者： Zhou, Chenghan Zou, Guibin Du, Xiaogong Zang, Lindong Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Shandong Xunfengdianzi Co Ltd Jinan 250200 Peoples R China

To solve the impact of the integration of distributed generations on distribution network protection, current differential protection is introduced into the active distribution networks. Using fault data self-synchronization algorithm to construct current differential protection can reduce the cost of protection and communication, but the unsynchronized starting of relays on both sides will cause time synchronization errors and affect the reliability of protection, especially when high resistance faults occur at feeders with inverter-based DGs. In this paper, the cause of the starting delays of protective relays is analyzed through assumptions and approximations. On this basis, an adaptive current differential protection method for active distribution networks is proposed. This method uses the current amplitude ratio on both sides of the protected feeder to adaptively modify restraint current in differential protection, which can weaken the effect of time synchronization error caused by fault data self-synchronization algorithm and improve the performance of current differential protection. Finally, the effectiveness of the proposed method is verified in both PSCAD/EMTDC simulation and a closed-loop test platform based on the real-time digital simulator.

关键词： Active distribution network Current differential protection Fault data self-synchronization Inverter-based distributed generation Time synchronization error

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