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8th International Conference on power and Renewable Energy, ICPRE 2023

作者： Liu, Shuai Li, Yuwen Zhou, Heng Cao, Kuan Liu, Yutian State Grid Weihai Power Supply Company Development Planning Department Weihai China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350328813

In order to cope with the impact of extreme weather on distribution network, a two-stage multi-objective game optimization-based method of energy storage configuration for distribution network resilience enhancement is proposed in this paper. First, typical scenarios are generated based on N-k contingency as well as distributed photovoltaic (DPV) output characteristics, and evaluation indexes of resilience and economy are established. Then a two-stage multi-objective optimal configuration model is proposed, considering the operating state and resilience demand of distribution network before and after the power supply transfer. Finally, the model is solved by multi-objective particle swarm (MOPSO) and Nash game. Simulation results on the modified IEEE33-node model demonstrate that the proposed method can achieve good equilibrium solution between resilience and economy. © 2023 IEEE.

关键词： MOPSO Nash game power supply transfer resilience two-stage optimal configuration

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A Generalized Wind Turbine Anomaly Detection Method Based on Combined Probability Estimation Model

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Journal of Modern power systems and Clean Energy 2023年第4期11卷 1136-1148页

作者： Xiangjun Zeng Ming Yang Chen Feng Yaohua Tang Key Laboratory of Power System Intelligent Dispatch and Control Shandong UniversityJinan 250061Chinaand X.Zeng is also with the College of Electrical Engineering&New EnergyChina Three Gorges UniversityYichang 443002China Rundian Energy Science and Technology Co. Ltd.Zhengzhou 450046China

Anomaly detection based on the data collected from the supervisory control and data acquisition(SCADA)system is crucial to reduce the failure rate of wind turbines(WTs).The difficulty of this kind of methods is to dynamically identify the threshold for anomaly detection under changing operating *** this paper,a generalized WT anomaly detection method based on the combined probability estimation model(CPEM)is *** CPEM can estimate the conditional probability density function(PDF)of the target variable given changing *** generalization and accuracy are better than those of the independent probability estimation model because it combines the advantages of various kinds of probability estimation models through linear *** using the CPEM,the normal operating bounds under different operating conditions can be obtained,which dynamically form the thresholds for anomaly ***,with respect to the thresholds,hypothesis testing(HT)is adopted to identify the anomaly by inspecting whether the observations exceed the thresholds at a given significance level,providing sound mathematical support for anomaly detection and making the detection results more *** effectiveness of the proposed method is tested by using the actual data of WTs with known *** results illustrate that the proposed method can detect the abnormal operating state of the gearbox and generator much more early than the system fault alarm.

关键词： Anomaly detection combined probability estimation generalization hypothesis testing(HT)

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Transmission Network Expansion Planning with Consideration for Optimal Integration of Renewable Energy

Transmission Network Expansion Planning with Consideration f...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Jialiang Wang Mingqiang Wang Yizhe Zhang Zihan Wang Chang Xu Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

This paper proposes an optimization method for transmission network expansion planning (TNEP) under the uncertainty of renewable energy generation and load. Unlike traditional stochastic programming and robust optimization, this method combines both approaches using conditional value-at-risk (CVaR). The original problem model is a three-level structure, where uncertainty is eliminated through dual problems twice, and the three-level structure is consolidated into a single-level model. It is demonstrated that, when adopting a DC power flow model, the problem can eventually be reformulated as a mixed-integer linear programming (MILP) model, which is directly solvable by commercial optimization solvers. Numerical results for networks with uncertainties in both load and renewable energy generation show that the proposed method achieves better solutions compared to traditional TNEP design approaches.

关键词： Renewable energy sources Uncertainty Stochastic processes Reliability engineering Planning Numerical models Mixed integer linear programming power system reliability Load modeling Periodic structures

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Digital twin-oriented multi-physics field simulation analysis of high-voltage SF6circuit breakers

Digital twin-oriented multi-physics field simulation analysi...

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2022 International Conference on Energy Internet and power systems, ICEIPS 2022

作者： Chen, Jing Zhang, Keqi Liang, Zhenguang Du, Zongzhan Zhang, Hengxu Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Jinan250061 China

Circuit breakers are important components for removing short circuits in power systems and ensuring safe operation. The operation of circuit breakers may not be predicted and thus cause accidents, so there is an urgent need to innovate means to assess the operation status of power equipment and monitor the operation status of power grids in full real time, to improve the monitoring capability of major key equipment, and to study key technologies for the digital twin of circuit breakers to support the safe and stable operation of transmission networks and the digital transformation of energy systems. This paper establishes the multi-physics field coupling calculation model of the circuit breaker opening process, completes the simulation calculation of the circuit breaker opening process, gets the distribution and change trend of parameters such as electric field, pressure, temperature, density, and airflow speed inside the interrupting chamber, and analyzes the flow characteristics inside the interrupting chamber in different opening processes. We select the characteristic parameters and provide data support for the establishment of fault diagnosis based on the digital twin of the circuit breaker. © Published under licence by IOP Publishing Ltd.

关键词： Electric power transmission networks

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Defect Analysis of power Equipment Based on Information Extraction Model 6

Defect Analysis of Power Equipment Based on Information Extr...

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2021 6th International Conference on Information Science, Computer Technology and Transportation, ISCTT 2021

作者： Mu, Jinshuang Gao, Zhanjun Zhou, Fengyuan Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Shandong Jinan250061 China

ISBN: (纸本)9783800757282

In operation and maintenance, State Grid has accumulated a large amount of historical equipment defect text data. For problems such as difficulty in text data mining. This paper established a text information extraction model at first. Extract important information such as equipment defect phenomena and defect locations from historical defect data. Based on it, establishing convolutional neural network (CNN) to achieve defect level classification. By comparing classification effect before and after information extraction, results indicate that text information extraction model can improve accuracy of defect level classification model. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Data mining

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Integrated dispatching Model for power system Incorporating Multiple Modules 5

Integrated Dispatching Model for Power System Incorporating ...

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5th International Conference on Advances in Electrical, Electronics and Computing Technology, EECT 2025

作者： Xu, Chang Wang, Mingqiang Wang, Zihan Zhang, Yizhe Wang, Jialiang Sun, Fengbin Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798331541545

The widespread integration of renewable energy presents significant challenges for power system scheduling. Traditional power system scheduling is mainly based on the concept of "coordinating on a multi-time-level and gradually refining at each level," using a sequential scheduling framework. However, with the growing integration of renewable energy, the uncertainty in power systems has significantly increased, leading to severe issues such as conflicts in the coordination between different modules. This paper first introduces the scheduling framework of the traditional sequential scheduling model. Then, addressing the problems of module coordination and insufficient flexibility, an integrated multi-time-scale scheduling model is proposed. This model combines day-ahead and intraday scheduling models, optimizing decision variables including unit start/shut states, operation points, and reserves simultaneously to maximize the collaborative potential between different scheduling modules. After linearization, the proposed model is converted into a mixed-integer linear programming (MILP) model, which can be solved directly using commercial optimization solvers. Finally, case analyses demonstrate the effectiveness and superiority of the proposed integrated model compared to the traditional sequential scheduling model. © 2025 IEEE.

关键词： Integer programming

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Integrated dispatching Model for power system Incorporating Multiple Modules

Integrated Dispatching Model for Power System Incorporating ...

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Advances in Electrical, Electronics and Computing Technology (EECT), International Conference on

作者： Chang Xu Mingqiang Wang Zihan Wang Yizhe Zhang Jialiang Wang Fengbin Sun Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331541545

ISBN: (纸本)9798331541552

The widespread integration of renewable energy presents significant challenges for power system scheduling. Traditional power system scheduling is mainly based on the concept of “coordinating on a multi-time-level and gradually refining at each level,” using a sequential scheduling framework. However, with the growing integration of renewable energy, the uncertainty in power systems has significantly increased, leading to severe issues such as conflicts in the coordination between different modules. This paper first introduces the scheduling framework of the traditional sequential scheduling model. Then, addressing the problems of module coordination and insufficient flexibility, an integrated multi-time-scale scheduling model is proposed. This model combines day-ahead and intraday scheduling models, optimizing decision variables including unit start/shut states, operation points, and reserves simultaneously to maximize the collaborative potential between different scheduling modules. After linearization, the proposed model is converted into a mixed-integer linear programming (MILP) model, which can be solved directly using commercial optimization solvers. Finally, case analyses demonstrate the effectiveness and superiority of the proposed integrated model compared to the traditional sequential scheduling model.

关键词： Renewable energy sources Analytical models Uncertainty Fluctuations Processor scheduling Refining Regulation power systems power system reliability Load modeling

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Optimal Scheduling Considering Multiple Reserves Based on Active power Curtailment Operation of Wind power

Optimal Scheduling Considering Multiple Reserves Based on Ac...

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Advances in Electrical, Electronics and Computing Technology (EECT), International Conference on

作者： Zihan Wang Mingqiang Wang Chang Xu Jialiang Wang Yizhe Zhang Caishuai Liang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331541545

ISBN: (纸本)9798331541552

Under the current general trend of the power industry's transformation towards clean energy, wind power generation, as an important form of renewable energy utilization, is steadily increasing its proportion in the power system. However, the inherent volatility and uncertainty of wind power bring numerous challenges to the stable operation of the power system. Firstly, based on the traditional unit commitment model, this paper comprehensively considers the capacity reserve and ramping reserve of the power system, and constructs a unit commitment model that considers the supply and demand constraints of both types of reserves simultaneously. Then, on the basis of this model, an in-depth and comprehensive discussion is carried out, focusing on the key operation strategy of the active power curtailment operation of wind power. This not only helps to improve the power system's ability to accommodate wind power, but also enables a better response to the challenges of volatility and uncertainty brought by wind power to the power system, thus ensuring the safe, stable and economic operation of the power system. Finally, the model is transformed into a mixed-integer linear programming model that can be directly called by the commercial solver CPLEX, and the effectiveness of the model is verified by a modified IEEE 26-node distribution network.

关键词： Uncertainty Fluctuations Costs Supply and demand power supplies Wind power generation power system stability Stability analysis power system reliability Wind turbines

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Urban Distribution Network Planning Considering Three-Sectioned and Two-Linked Network

Urban Distribution Network Planning Considering Three-Sectio...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Yizhe Zhang Mingqiang Wang Jialiang Wang Chang Xu Zihan Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

Three-sectioned and two-linked lines are widely used in urban distribution networks due to its high dependability and high line load rate. In newly developed urban areas, manually planning three-sectioned and two-linked lines is often challenging and time-consuming. This paper focuses on optimally planning three-sectioned and two-linked lines for practical urban distribution networks. First, this paper analyzes common connection configurations in current urban distribution networks. Next, a mixed-integer linear programming (MILP) model is proposed for directly planning three-sectioned and two-linked lines in distribution network. Finally, an algorithm for verification is introduced to evaluate the resilience of the planned three-sectioned and two-linked lines in distribution network under fault scenarios. The effectiveness and practicality of the proposed model are demonstrated on a real distribution network consisting of 22 blocks.

关键词： Electrical engineering Computational modeling Optimization models Urban areas Distribution networks Planning Mixed integer linear programming Computational efficiency Switching circuits Resilience

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Short-Term Electricity Load Forecasting Based on Back Propagation Neural Network Considering key Meteorological Factors

Short-Term Electricity Load Forecasting Based on Back Propag...

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Electrical Engineering and Green Energy (CEEGE), International Conference on

作者： Hankun Liu Lizheng Chen Xiaohan Shi School of Information and Electrical Engineering Shandong Jianzhu University China Key Laboratore of Power System Intelligent Dispatch and Control Shandong University China

power load forecasting has an important impact on the safe dispatch of the electric grid and the operation of the national economy. A method based on the back propagation neural network was proposed and considered the key meteorological factor to improve the accuracy of electricity load forecasting. Firstly, this paper analyzed the influence of different meteorological factors on electricity load. Secondly, key meteorological factors and historical electricity loads were used as input vectors to the temporal convolutional network for electricity load forecasting. The results showed that considering meteorological factor could effectively improve the accuracy of load forecasting.

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