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2023 International Conference on power system Technology, powerCon 2023

作者： Yan, Jiongcheng Li, Changgang Liu, Yutian Zhu, Yuanzhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Electric Power Research Institute of State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350300222

The dynamic interactions between AC and DC systems and the uncertainty of renewable generation increase the risk of cascading failures and bring challenges for the secure operation of hybrid AC/DC grids. Insecurity early warning identifies the security risk and guides the control decision-making, which is important for the secure power system operation. To achieve fast insecurity early warning, a data-driven early warning method for dynamic insecurity risk is proposed in this paper. First, Latin hypercube sampling and improved K-medoids algorithm are utilized to generate typical operating conditions (OCs) in the future. Then, stacking denoising autoencoders and ensemble extreme learning machines are deployed to construct security risk assessment models to fast assess the dynamic security of typical OCs. And model update is performed to ensure the assessment accuracy when cascading failures occur. Finally, the insecure OCs are ranked into different insecure levels based on the control cost needed to ensure the system security. Simulation results of the Northwest hybrid AC/DC grid in China demonstrate that the proposed method can achieve fast insecurity early warning and effectively track the security risk tendency during the process of cascading failures. © 2023 IEEE.

关键词： Risk assessment

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Enhanced Robust Scheduling Approach Considering Dynamic Flexibility Support from District Heating systems

Enhanced Robust Scheduling Approach Considering Dynamic Flex...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Wenzhang Zheng Peng Li Ming Yang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Apart from flexibility resources, e.g., thermal generators and battery energy storage system in electrical power system, dynamic heating networks and flexible heat loads in district heating systems could also provide considerable reserve capacity support for electrical power system. To accurately quantify the reserve support capacity, two operating periods of district heating systems, i.e., reserve capacity support providing period (RCPP) and reserve capacity support recovery period are designed in the paper. A novel dynamic flexibility support interaction mechanism among multiple district heating systems is then presented, and a corresponding scheduling strategy is proposed to coordinate electrical power system and district heating system (DHS), where the concept of allowable regulating capacity exchange interval is introduced to make full use of reserve capacity in DHS. And then, an enhanced robust scheduling model is developed for electrical power systems, where both of the wind power allowable region and operational costs are involved. Case studies demonstrate the proposed method effectively tackles the flexibility coordination between electrical power system and multiple district heating systems.

关键词： Costs Battery energy storage system District heating power system dynamics Wind power generation Dynamic scheduling Generators Thermal loading Heat recovery Resistance heating

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A Digital Twin Framework for Transient Stability Assessment Based on Knowledge Distillation 9

A Digital Twin Framework for Transient Stability Assessment ...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Cui, Junjie Qin, Wenping Zhu, Zhilong Lu, Ruipeng Qin, Penghui Li, Xianzhen Taiyuan University of Technology Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education Shanxi Key Laboratory of Power System Operation Control College of Electrical and Power Engineering Taiyuan China

ISBN: (纸本)9798350309638

In the context of the digital transformation of power systems, various new sensors are capable of acquiring massive real-time data from the power grid, providing an opportunity for the development of digital twins in power systems. This paper proposes a transient stability assessment digital twin framework based on knowledge distillation. Addressing the challenges of high computational resource consumption and model deployment difficulties associated with existing high-precision complex models in transient stability assessment, the knowledge distillation method is introduced for model lightweighting. Simultaneously, the proposed continuous learning online updating strategy enables adaptive online updates for complex operating conditions and structures, enhancing the learning capability for online additions of diverse samples. Using Transformer as the transient stability assessment model, the effectiveness of the proposed approach was validated on the IEEE 39-bus system. © 2024 IEEE.

关键词： Distillation

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Energy Storage Sizing for IES Considering Carbon Trading and Demand Response 6

Energy Storage Sizing for IES Considering Carbon Trading and...

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6th International Conference on power and Energy Applications, ICPEA 2023

作者： Zhang, Lipeng Cao, Kuan Li, Yuwen Gao, Jie Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China State Grid Weihai Power Supply Company Development Planning Department Weihai China

ISBN: (纸本)9798350359053

An optimal energy storage sizing method for integrated energy system (IES) considering carbon trading and demand response is presented in this paper. Firstly, to effectively limit carbon emissions, a reward-penalty laddered carbon trading model is designed to convert carbon emissions into system costs or revenues. Secondly, the integrated demand response (IDR) model for electrical-cold-heat loads is established based on time-of-use price to enhance the operational flexibility and economy. Then, based on these two sub-models, an optimal energy storage sizing model is built to minimize the total life cycle cost including investment, operation and carbon trading cost. Finally, the simulation results indicate that a successful balance between low-carbon and economy can be achieved by the proposed method. © 2023 IEEE.

关键词： Energy storage

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power Ramp Extremes Two Stage Forecast based on Auto Encoder and Bi-LSTM

Power Ramp Extremes Two Stage Forecast based on Auto Encoder...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Chuanqi Wang Ming Yang Yixiao Yu Menglin Li Shuaijie Shan Yuanhe Zhang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

power ramp is one of the stages with the largest error of renewable energy power forecast. The deviation in the forecast of the time and values of the start-end points will lead to a significant forecast error to the whole ramp process. Therefore, accurate power ramp forecast can effectively improve the renewable energy power forecast accuracy. In this paper, SDAE is applied on encoding the meteorological features of the power ramp process. Then, the coded part is then spliced with a classifier and fine-tune, promote the output with clear category identity. Finally, the coding is fed into a bidirectional neural network to forecast the power at the start-end points. In case study, the proposed method in this paper demonstrated an improvement in the accuracy of extreme forecast of start-end points power by 4.94%in comparison to the power forecast based ramp recognition method.

关键词： Degradation Renewable energy sources Accuracy Neural networks Asia Weather forecasting Encoding Timing

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Fault Location and Phase Selection Method of Distribution Network Containing IIDG Based on Online Active Detection 2

Fault Location and Phase Selection Method of Distribution Ne...

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2023 2nd International Conference on power system and Energy Technology, ICPSET 2023

作者： Cheng, Yunxiang Liu, Xiangbo Wang, Sen Gao, Fang Li, Hao Yu, Chengao Tao, Zhengchen Power Supply Service Command Center State Grid Rizhao Power Supply Company Rizhao China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

This paper proposes a fault location and phase selection method for the distribution network containing IIDG based on online active detection, utilizing online active detection. In this method, the characteristic harmonic current injection control strategy based on d- and q-axis control is obtained by analyzing the structure, control strategy, and short-circuit current of IIDG. During a fault, the distributed power supply injects characteristic harmonic current into line, adapting its magnitude with the short-circuit current's size. By detecting the difference in harmonic current content rate for both ends of the fault point, the method achieves online location and line selection of fault points. A 10 kV IIDG distribution network model is simulated by using PSCAD to validate the feasibility and accuracy of the proposed fault location and phase selection method. © Published under licence by IOP Publishing Ltd.

关键词： Electric power distribution

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Accurate Distance Measurement Method of Single-Phase Ground Fault of power Grid Feeder with Load Division Based on Fault Secondary Discrimination 5

Accurate Distance Measurement Method of Single-Phase Ground ...

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5th International Conference on power and Energy Technology, ICPET 2023

作者： Cheng, Yunxiang Liu, Xiangbo Wang, Sen Gao, Fang Li, Hao Tao, Zhengchen State Grid Rizhao Power Supply Company Power Supply Service Command Center Rizhao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350339673

In order to solve the problem of low accuracy of traditional fault location method when the feeder of distribution network contains load branches, this paper proposes an accurate fault location method for single-phase grounding fault of feeder in distribution network with load branches based on fault secondary discrimination. By analyzing the feeder fault recording data, the fault point is identified twice to determine whether the fault point occurs on the load branch. According to different fault location, the voltage of the fault point is calculated by using the voltage and current of the two ends of the fault section. The voltage of the calculated fault point should be equal. The objective function of the minimum voltage difference of the fault point is written, and the fault distance x under the minimum voltage difference is obtained. The simulation model of 10KV distribution network is built on PSCAD, which verifies the accuracy of the ranging algorithm and has certain ability to resist transition resistance, which has certain engineering practice value. © 2023 IEEE.

关键词： accurate ranging algorithms fault secondary location Load division dominates grid feeders single-phase ground fault

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A Distributionally Robust Optimal Allocation Method of Energy Storage for Resilience Enhancement of Distribution Network

A Distributionally Robust Optimal Allocation Method of Energ...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Cao, Kuan Liu, Yutian Wang, Chunyi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Shandong Electric Power Company Development Planning Department Jinan China

ISBN: (纸本)9781665471640

To solve the problem of active power imbalance in distribution network with high penetrations of photovoltaic (PV) under extreme weather, the paper proposes a distributionally robust optimal allocation method of energy storage considering extreme scenarios. Firstly, considering that the effect of energy storage on enhancing the resilience of distribution network is strongly related to its location, resilience indexes based on node evaluation are established to select the installation sites of energy storage. Secondly, in view of the correlation and randomness of PV output and load, the typical scenarios with the empirical probability distribution are generated based on Frank Copula joint probability distribution function. Then, Kullback-Leibler divergence is utilized to characterize the probability distribution ambiguity set of the typical scenarios. Based on the ambiguity set, a two-stage distributionally robust optimization model for energy storage capacity is established to minimize the cost of energy storage investment and distribution network operation. For further improving the resilience, an operational resilience index as a chance constraint considering extreme scenarios is embedded into the model. Finally, the case study shows that the proposed method can effectively improve PV accommodation capacity of distribution network and reduce load loss in extreme scenarios. © 2023 IEEE.

关键词： copula function distributionally robust optimization energy storage allocation Kullback-Leibler divergence resilience

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Energy Storage Configuration Method for Distribution Network Resilience Enhancement Using Two-Stage Game Optimization 8

Energy Storage Configuration Method for Distribution Network...

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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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