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

作者： Tingting Ding Ming Yang Yixiao Yu Fangqing Yan Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Laiwu Electric Power Supply Company of State Grid Shandong Electric Power Company

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

At present, the researches on short-term wind power prediction mostly focus on three days, but the maintenance schedule of wind farm and the generation schedule of hydro-thermal power system both hope to get the wind power forecasting results week-ahead. Exploring the law of wind power fluctuation becomes one of the most crucial issues to extend the prediction time scale. This paper proposes a combined probabilistic prediction approach based on weather classification to forecast the wind power week-ahead. This approach considers that wind power has a similar fluctuation law under the same weather type, and the combination model is used to improve forecasting accuracy. In the approach, the GK fuzzy clustering algorithm based on subtraction clustering is used to divide the weather into several typical types. And the combination probabilistic forecasting model formed by the sparse Bayesian learning, kernel density estimation, and beta distribution estimation is trained for each weather type. Meanwhile, the Gaussian Case-based Reasoning is used to classify the forecasting sample into corresponding weather type and the corresponding combined model is used to make the forecast. Case studies employ the proposed approach as well as several benchmarks to achieve week-ahead predictions of a wind farm located in China and the superior performance demonstrates the effectiveness of the proposed approach.

关键词： Wind power generation Meteorology Forecasting Predictive models power systems Clustering algorithms Probabilistic logic

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Energy Storage Sizing Based on Asymmetric Copula for Wind Farm to be Black-Start Source

Energy Storage Sizing Based on Asymmetric Copula for Wind Fa...

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Sustainable power and Energy Conference (iSPEC)

作者： Weipeng Liu Yutian Liu Chunyi Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

In local power grid with high wind power penetration, using wind farm (WF) with energy storage system (ESS) as black-start (BS) source will significantly accelerate the restoration after blackout. For enabling WF to be a reliable BS source, an ESS sizing method based on asymmetric copula function is proposed, aiming mainly at smoothing WF output power during the process of starting up generator unit. To model the asymmetric correlation between ESS power sizing and capacity sizing, the joint probability distribution is built by asymmetric copula function. The most suitable copula function is determined by maximum likelihood estimation and a goodness of fit test. Considering sample variation, the parametric bootstrap method is applied for the confidence intervals of dependence parameter estimation. A case study with real WF data demonstrates that the proposed asymmetric copula function is more accurate and ESS sizing cost is lower consequently.

关键词： Maximum likelihood estimation power smoothing Wind farms Wind power generation Probability distribution Generators Energy storage

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Distributed Bilinear State Estimation Based on ADMM for Integrated Energy system Combining Electricity, Heat and Gas

Distributed Bilinear State Estimation Based on ADMM for Inte...

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IEEE-power-and-Energy-Society General Meeting (PESGM)

作者： Du, Yaxin Zhang, Wen Zhang, Tingting Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Peoples R China

ISBN: (纸本)9781728119816

With the rapid development of integrated energy system (IES), there is an urgent need to implement state estimation to obtain accurate system-wide states for online analysis and optimal dispatch. Moreover, compared with the centralized scheme, distributed state estimation is more practical for IES due to the preservation of privacy, low communication burden, and high efficiency. This paper proposes a distributed bilinear state estimation algorithm based on the alternating direction method of multipliers (ADMM), which is applicable to IES combining electricity, heat, and gas. Based on the bilinear state estimation model, the conventional state estimation for IES is converted to a three-stage convex problem, including two linear estimation stages and an intermediate nonlinear transformation stage. Each of the three stages is further decoupled over the three sub-systems to perform a fully distributed state estimation via ADMM. A modified ADMM with self-adjusting penalty parameter is adopted to accelerate the convergence of ADMM iterations. Simulation results demonstrate the validity of the proposed algorithm.

关键词： Integrated Energy system Distributed State Estimation Bilinear State Estimation Alternating Direction Method of Multipliers

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A Novel Non-unit Frequency-Based Line Protection Scheme for Flexible DC Grids

A Novel Non-unit Frequency-Based Line Protection Scheme for ...

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

作者： Yunqi Zhang Wei Cong Yuxi Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Liangshan Power Supply Company Liangshan China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

To address the problems still existing in line protection for flexible DC grids currently, this paper proposes a non-unit frequency-based line protection scheme for flexible DC grids. Firstly, the values of the initial voltage traveling waves (IVTWs) generated by the fault point under internal and external faults are respectively calculated based on the equivalent model of the four-terminal flexible DC grid. Due to the boundary effect of the current limiting inductors on both ends of DC lines, the attenuation rates of the IVTWs with the increase of frequency under internal and external faults have different characteristics. The detail coefficients of the IVTW in different frequency bands are extracted by stationary wavelet transform at different scales, and the amplitudes of the IVTW in different frequency bands are expressed by wavelet transform modulus maximums (WTMMs). A criterion to identify internal and external faults is constructed based on the square of the frequency-domain equivalent attenuation rate of the IVTW. Lastly, simulation results under diverse fault conditions validate the availability of the proposed protection method.

关键词： Circuit faults Radio frequency Attenuation Inductors Frequency-domain analysis Limiting Resistance

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A novel approach to transformer fault diagnosis using IDM and naive credal classifier

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2019年 105卷 846-855页

作者： Zhao, B. Yang, M. Diao, H. R. An, B. Zhao, Y. C. Zhang, Y. M. Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Shandong Peoples R China CSG Power Dispatching Control Ctr Guangzhou 510663 Guangdong Peoples R China State Grid Shandong Elect Power Maintenance Co Jinan 250118 Shandong Peoples R China

Transformer fault diagnosis is important for improving the operational reliability of power systems. Despite great efforts to enhance the accuracy of fault diagnosis, the precise detection of transformer faults remains difficult. The major barriers are attributed to the lack of transformer fault records and related data, which may produce unconvincing diagnostic results, and to the fact that multiple latent faults in a transformer are difficult to detect distinctly. In this paper, an imprecise probability-based approach to transformer fault diagnosis by using the imprecise Dirichlet model and naive credal classifier is proposed. Instead of providing a single-valued probability, the approach calculates the interval probability for each possible type of transformer faults to explicitly indicate the uncertainty of the diagnosis caused by the insufficiency of historical fault records. Meanwhile, according to whether an overlap exists among the probability intervals of different types of faults, the proposed approach can output either one explicit fault or multiple probable latent faults that occurred in the transformer. In the proposed approach, the imprecise Dirichlet model (IDM) is used to evaluate the imprecise probabilistic relationships between each type of transformer fault and its corresponding symptom attributes. A naive credal classifier (NCC) is established to integrate the IDM estimation results and calculate the interval valued probabilities of all types of possible faults. Then, the transformer fault diagnosis results can be obtained by the classification criteria of the NCC. The approach can compensate for the defects of conventional methods, including their inability to perform reliable diagnosis with insufficient fault samples or distinctly indicate the multiple latent transformer faults. The accuracy of diagnosis and the efficiency of transformer maintenance can be significantly improved by implementing the proposed approach. The effectiveness of the ap

关键词： Fault diagnosis Imprecise Dirichlet model Imprecise probability Naive credal classifier Transformer fault

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A Resilience Enhancement Scheme of Cyber-Physical power system for Extreme Natural Disasters

A Resilience Enhancement Scheme of Cyber-Physical Power Syst...

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Sustainable power and Energy Conference (iSPEC)

作者： Tianhao Liu Runjia Sun Yutian Liu Chunyi Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Extreme disasters seriously threaten power system security and stable operation. power system resilience is an important means to evaluate the system response to low probability and high impact events. This paper proposes a resilience enhancement strategy based on cyber physical power system to cope with extreme natural disasters and restore the power system. At first, a defense framework for natural disaster is given to show stages and techniques used in resilience enhancement strategy. Secondly, a zone division based power flow adjustment method is proposed to adjust the transmission power with high failure probability, which can reduce the risk of cascading failures. Finally, two resilience evaluation functions considering load restoration and equipment restoration are proposed respectively to guild collaborative communication lines and transmission lines restoration. Simulation results of the New England 39-bus test system demonstrate the effectiveness.

关键词： power transmission lines Simulation power system protection Collaboration power system stability power system faults Resilience

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Electric railway smart microgrid system with integration of multiple energy systems and power-quality improvement

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ELECTRIC power systemS RESEARCH 2021年 199卷 107459-107459页

作者： Feng, Chen Gao, Zhixuan Sun, Yanying Chen, Peng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China Chinese Acad Sci Inst Elect Engn Beijing 100190 Peoples R China China Univ Min Technol Beijing China Sch Mech Elect & Informat Engn Beijing 100083 Peoples R China

An electric railway smart microgrid system (ERSMS) with integration of multiple energy systems is proposed to reduce the energy consumption of the railway system and improve the power quality. Compared with the traditional ERSMS, the proposed ERSMS introduces the railway station distribution power system and the function of power-to-gas to the smart microgrid system, which can significantly alleviate the burden of the energy-storage system and improve the utilization rate of energy inside the railway system. First, the structure of the ERSMS is introduced. Then, the working models of the system are analyzed. Subsequently, an energy management strategy and converter control strategy are designed to improve the energy regulation and power quality. Finally, the effectiveness of the proposed smart microgrid system is verified by case studies.

关键词： Electric railway Smart microgrid Multiple energy systems power-quality improvement control strategy

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An improved fault recovery strategy for active distribution network considering LVRT capability of DG 8

An improved fault recovery strategy for active distribution ...

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8th Renewable power Generation Conference, RPG 2019

作者： Cao, Yongji Liu, Weisheng Zhang, Yi Zhang, Hengxu Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781839531255

The growing integration of distributed generation (DG) has changed the operation characteristics of traditional distribution network, and so the active distribution network (ADN) has emerged. Fault recovery is significant to reduce the loss of power failure, but the traditional control strategy without consideration of DG is no longer suitable for ADN. An improved fault recovery strategy is proposed to coordinate the fault reclosing and the low voltage ride through (LVRT) capability of DG. The influence of fault reclosing on the voltage variation of the point of common coupling (PCC) of DG is analyzed, with different relative locations of fault and PCC, and a critical LVRT voltage is extracted from the scenario where fault reclosing fails. In order to avoid DG outage, a blocking criterion of fault reclosing is presented according to the fault location and the first voltage dip of PCC. Then, the ADN can be split into planned islands considering the balance of DG power and loads and the load priorities, once the fault reclosing is blocked. Moreover, the WAMS Light is implemented for high-speed synchronous data collection and online central control. A case study is conducted to verify the effectiveness of proposed approach. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Distributed power generation

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

作者： Yichen Song Mingqiang Wang Mengxia Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Zhengzhou Power Supply Company Zhengzhou China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

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.

关键词： Uncertainty Reliability Load modeling Reactive power Biological system modeling Optimization Aggregates

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Evaluation of DFIGs' Primary Frequency Regulation Capability for power systems with High Penetration of Wind power

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ENERGIES 2020年第23期13卷 6178-6178页

作者： Li, Changgang Hang, Zhi Zhang, Hengxu Guo, Qi Zhu, Yihua Terzija, Vladimir Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China China Southern Power Grid Elect Power Res Inst Guangzhou 510663 Peoples R China

Accompanying the continuous increase in wind power penetration, the power system inertia is reduced, and the system frequency regulation performance deteriorates. Wind turbine generators are required to participate in primary frequency regulation (PFR) to support system frequency. Here, the PFR capability of the widely-used doubly-fed induction generator (DFIG) is evaluated to estimate the participation of the DFIG in system frequency control. The frequency regulation model of the DFIG is established and briefly discussed. The equivalent PFR droop coefficient is then deduced from the model using a small signal increment method to evaluate the DFIG's PFR capability. key factors affecting the equivalent droop coefficient are studied, and the droop control is optimized to keep the equivalent droop coefficient in the desired range. The proposed method is verified utilizing a provincial power grid model of China.

关键词： doubly-fed induction generator primary frequency regulation equivalent droop coefficient power systems

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