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A temperature-based fault pre-warning method for the dry-type transformer in the offshore oil platform

INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2020年 123卷

作者： Sun, Yuanyuan Hua, Yue Wang, Erdong Li, Na Ma, Shuo Zhang, Lina Hu, Yiru Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Sch Elect Engn Jinan 250061 Peoples R China China Natl Offshore Oil Corp Engn Res & Design Inst Res Inst Beijing 100028 Peoples R China

In the offshore oil platform power system, the replacement of electric equipment is very inconvenient due to the far distance between the platform and the land. Transformer is one of the most important electric equipment in the oil power system, whose reliable operation is of essential importance to the normal oil exploitation. Therefore, the condition of the transformer should be monitored continuously to find out the possible operating abnormality as soon as possible. The transformer temperature is a good indicator to reflect the transformer operating condition. Moreover, there is a large amount of historical operating data provided by the monitoring system in the oil platform power system, which can be used as the basis to distinguish the normal and abnormal operating condition of the transformer. In this paper, an abnormal temperature pre-warning method is proposed for the dry-type transformer in the oil platform power system. Based on the historical operating data, the dry type transformer temperature model is established by the Sparse Bayesian Learning. The proposed model pro vides a temperature warning range. By entering the current transformer operating parameters into the model, the temperature range for a normal operating state can be obtained. If the temperature measured by the transformer sensors exceed the expected ranges, an abnormality may occur. The residual statistical analysis is adopted to distinguish the measurement errors and actual transformer abnormal operations. The effectiveness and validity of the proposed method are verified based on the real field data of an oil platform transformer.

关键词： Dry-type transformer Offshore platform power system Temperature monitoring Sparse Bayesian learning Fault condition pre-warning

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Parameter-Free Fault Location Algorithm for Distribution Network T-Type Transmission Lines

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ENERGIES 2019年第8期12卷

作者： Wang, Chengbin Yun, Zhihao Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Shandong Peoples R China

T-type transmission lines have been increasingly used in distribution networks because of the distributed generation integration, but inaccurate line parameters will cause significant error in the results of most existing fault location algorithms for this kind of line. In order to improve the precision, this paper proposes a new fault location algorithm taking line parameters as unknowns. The fault is assumed to occur on each section, and corresponding ranging equations can be built based on one set of three-terminal post-fault synchronous measurements, without using line parameters as inputs. Then, more sets of measurements are utilized to increase the redundancy of equations to resist the influence of data error. The reliable trust-region algorithm is used to solve each group of equations, but only equations of the assumed faulty section with the actual fault point can give the reasonable solutions, accordingly identifying the fault point. The performance of the proposed method is thoroughly investigated with MATlab/Simulink. The results indicate that the algorithm has a high accuracy and is basically unaffected by fault position, fault resistance, unbalanced fault type, line parameter, and data error.

关键词： fault location line parameter data error T-type transmission line distribution network

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A Decentralized P2P Electricity Market Model for Microgrids

A Decentralized P2P Electricity Market Model for Microgrids

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

作者： Sabounchi, Moein Wei, Jin The Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538677032

Inspired by the online peer-to-peer (P2P) goods trading that has become increasingly popular in the recent years, in this paper we propose a decentralized P2P electricity marketing mechanism for a microgrid (MG) consisting of networked prosumer (consumers with distributed generation capability) clusters by incorporating Blockchain technology and Smart Contracts (SC). Our proposed electricity marketing mechanism is a two-level hierarchical one: In the upper level, the aggregators (AGGs) cooperate with each other and in the lower level, the local PRs maximize their financial profits via P2P energy trading. This mechanisms potentially results in price of anarchy instances in which the targets of the two level players will be contradictory. To address this issue, we assume that there exists a single universal cost function for both levels of the game. In our simulations, we evaluate the performance of our proposed P2P electricity marketing mechanism in maximizing the self-sufficiency of the microgrid and minimizing the side effects of the discriminatory pricing.

关键词： P2P Electricity Market Price of Anarchy Blockchain Electricity Market Aggregator Distributed Energy Resources (DERs)

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On-line Discrimination Method of Current Transformer’s Polarity Using Line No-load Closing Impulse Current

On-line Discrimination Method of Current Transformer’s Pola...

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International Conference on Advanced power system Automation and Protection (APAP)

作者： Yunqi Zhang Wei Cong Liangliang Hu Liqiang Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shangdong University Jinan China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

An on-line method using no-load closing impulse current of the line to discriminate CT's polarity is proposed in this paper. No-load closing model for the single-phase transmission line is established firstly, and the mathematical relationship between electrical quantities and line parameters during closing process is described by differential equations. Line parameters such as the inductance or resistance are regarded as unknown quantities, and the characteristics of their values are analyzed when solving the differential equations under different CT polarities. Then the calculation values are normalized. In order to quantify the distribution characteristics of normalized equivalent values, define the forward and backward coefficients. According to the ratio of these two coefficients, namely recognition coefficient, CT's polarity in single-phase system can be discriminated. On this basis, CTs' polarities in three-phase system can be discriminated by different phase-mode transformations with specific matrixes. Finally, the effectiveness of the method is verified by simulation.

关键词： Current transformers power transmission lines Mathematical model Differential equations Transmission line measurements Transmission line matrix methods Voltage measurement

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Fault location of HVDC transmission line based on improved genetic algorithm

Fault location of HVDC transmission line based on improved g...

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International Conference on Advanced power system Automation and Protection (APAP)

作者： Jianlei Zhang Zhanjun Gao Xiufang Xie Huanhuan Yin Zhiyuan Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

Aiming at the problem that the current time domain fault location method has low accuracy under the change of line parameters, this paper takes line parameter errors and fault location results as variables to participate in the calculation, forming a multi-variables optimization problem. The standard genetic algorithm is optimized to realize the non-linear adaptive adjustment of crossover rate and mutation rate according to fitness, which effectively improves the search ability and convergence speed of the algorithm. PSCAD simulation software and MATlab are used to verify the algorithm. The simulation results show that the method is not affected by fault location and transitional resistance, and can achieve accurate fault location in the whole transmission line.

关键词： Voltage measurement Transmission line measurements Mathematical model Fault location power transmission lines Inverters HVDC transmission

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Fast Assessment of Short-Term Voltage Stability of AC/DC power Grid Based on CNN

Fast Assessment of Short-Term Voltage Stability of AC/DC Pow...

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IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Weiquan Yang Yuanzhen Zhu Yutian Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

With the development of HVDC transmission and changes of load composition and characteristics, the short-term voltage problem seriously threatens the safety and stable operation of power systems. Based on deep learning, a fast short-term voltage stability assessment method for AC/DC receiving-end power grid is proposed in this paper. Considering the influence of multi-infeed DC and dynamic loads, convolutional neural network is adopted in this paper, which use the steady-state power flow and fault features as inputs and the short-term voltage stability of the area around the DC drop point as the output. Simulation results of real multi-infeed AC/DC power grid demonstrate the effectiveness of the proposed method.

关键词： power system stability Stability criteria Feature extraction Load flow power grids Voltage control

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Exact Soft-Covering Exponent

Exact Soft-Covering Exponent

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IEEE International Symposium on Information Theory (ISIT)

作者： Yagli, Semih Cuff, Paul Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Ministry of Education Jinan China

ISBN: (纸本)9781538647813

This work establishes the exact exponent for the soft-covering phenomenon of a memoryless channel under the total variation metric. The exponent, established herein, is a strict improvement (in both directions) on bounds found in the literature. This complements the recent literature establishing the exact exponent under the relative entropy metric;however, the proof techniques have significant differences, neither bound trivially implies the other. This result implies new and improved bounds for various problems that use soft-covering as their achievability argument, including new lower bounds for the resolvability exponent and the secrecy exponent in the wiretap channel.

关键词： Soft-covering lemma channel resolvability random coding exponent total variation distance

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Analysis of power system Vulnerability Considering Multiple Disturbances Corresponding to Information and Physics

Analysis of Power System Vulnerability Considering Multiple ...

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International Symposium on power Electronics and control Engineering (ISPECE)

作者： Wang, Chaochao Sun, Hua Dong, Xiaoming Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan Shandong Peoples R China Shandong Labor Vocat & Technol Coll Dept Elect Automat Jinan Shandong Peoples R China

With the continuous development of smart grid, the automation degree of power system continues to improve. The number of measurement-calculating and decision-controlling units of the power grid has greatly increased, and the scale of the power information network has become larger and larger. The stable operation of the power system is inseparable from the real-time dispatch of its information system. As the key infrastructure, power system has a huge impact on national security, economic development and social stability, and has become one of the key targets of terrorist destruction. In view of the fact that information network and power network integrate with each other currently, this paper focus on the functions of the power control center, modeling information systems together with physical systems. Considering that the power system has suffered multiple disturbances corresponding to information and physics, the quantitative analysis method is used to simulate the dynamic evolution process after the accident, and the loss of load is used as the evaluation index to analyze the vulnerability of the power system, to find the vulnerable components of the power grid. So effective protection measures can be taken to reduce the loss of the power system after this type of destruction. The constructed model is solved by mixed integer nonlinear programming method. IEEE Reliability Test system-24 verifies the feasibility and effectiveness of this model.

关键词： Information systems

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Faulty line selection based on active-intervention-type arc suppression device via additional neutral resistance 8

Faulty line selection based on active-intervention-type arc ...

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8th Renewable power Generation Conference, RPG 2019

作者： Xu, Kai Wang, Peng Shi, Fang Bian, Chunyan Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University 17923 Jingshi Road Jinan China State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou China State Grid Shandong Electric Power Company Dezhou Branch Dezhou China

ISBN: (纸本)9781839531255

The excessive arc current will damage electric equipment and threaten personal security when the single-phase-to-ground fault occurs in the distribution network. The active-intervention-type arc suppression device can effectively suppress the arc current by actively switching on the grounding switch of the faulty phase at the bus. However, in case of mis-selection, a more severe two-phase fault will be triggered. This paper studies the procedures of the active-intervention-type arc suppression device and proposes a faulty line and faulty phase selection method based on the neutral point additional resistance. The real-time line-to-ground parameters are calculated using the neutral point voltage changes before and after the additional resistance switching, and then the change of the line-to-grounding parameter is analysed to determine the faulty phase. The zero-sequence components of each line are analysed, and a mathematical formula is presented to determine the faulty line as the switching of the additional resistor will change the zero-sequence circuit of the faulty line. Simulation results show that the proposed method has high accuracy and reliability even for high-resistance-to-ground fault. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Electric grounding

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Optimization of Emergency Load Shedding Based on Cultural Particle Swarm Optimization Algorithm

Optimization of Emergency Load Shedding Based on Cultural Pa...

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IEEE Congress on Evolutionary Computation (IEEE CEC)

作者： Xu, Taoyang Li, Changgang Liu, Yutian Liu, Chao Su, Dawei Xu, Chunlei Wu, Haiwei Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan Shandong Peoples R China China Elect Power Res Inst Beijing Peoples R China State Grid Jiangsu Elect Power Co Ltd Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781728121536

A new optimization model is established in this paper to build power system emergency load shedding scheme adaptive to multi operation modes. Particle swarm optimization (PSO) is used to solve the model heuristically. To improve performance of PSO, the concept of belief space in cultural algorithm is introduced to form the cultural particle swarm optimization (CPSO). A new solution is generated in the belief space to replace the inferior solution in CPSO, and motion parameters of CPSO are adjusted by crowding distance to make the algorithm escape from local optimum. The proposed model and algorithm are validated with a provincial power grid model.

关键词： emergency load shedding cultural algorithm particle swarm optimization crowding distance

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