Recent Research Progress in Fault Analysis of Complex Electric Power Systems

This paper explores the feasibility of rapid a- stability analysis of electric power systems containing as many as 60 generators by using Liapunov functions. Many Liapunov functions, approximate integrals, and critical value equations are presented, some for the first time. The results of applying these functions with the aid of a CDC 6600 digital computer to electric ric power systems whose number of generators is 4, 10, 20, or 60 are given for both the computation time and result accuracy. Recommendations are made for additional research on the development of more accurate ate functions for el'ectric power system analysis.

Electrical Engineering in JapanVolume 110, Issue 2 p. 47-59 Article Fault restoration operation scheme in secondary power systems using case-based reasoning Kenzo Okuda, Kenzo Okuda Utsunomiya University Kenzo Okuda graduated in 1952 from the Department of Electrical Engineering, Waseda University, and joined Hitachi, Ltd. He has a Dr. of Eng. degree. At Hitachi Research Laboratory he engaged in the analysis of electric power systems and in the research and development of control computers. In 1979, he became a Professor in the Department of Information Science, Utsunomiya University. He has been engaged in research on knowledge engineering, database systems, computer architecture, etc. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan; Information Processing Society of Japan; and I.E.E.E.Search for more papers by this authorHiroyoshi Watanabe, Hiroyoshi Watanabe Utsunomiya University Hiroyoshi Watanabe obtained a Master's degree in 1988 in Information Science from Utsunomiya University. In graduate school, he was engaged in research on knowledge engineering. At present, he is at the Industrial Technology Center of the Tochigi Prefecture, and is a member of the Information Processing Society of Japan.Search for more papers by this authorKatsuhiro Yamazaki, Katsuhiro Yamazaki Utsunomiya University Katsuhiro Yamazaki obtained a Master's degree in 1978 in Information Engineering from Kyoto University. He later obtained a Dr. of Eng. degree. In 1980 he became a Research Assistant at Utsunomiya University, and in 1988 became an Associate Professor at Ritsumeikan University. He is engaged in research on computer architecture and knowledge engineering. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan; and A.C.M.Search for more papers by this authorTakanobu Baba, Takanobu Baba Utsunomiya University Takanobu Baba obtained a Dr. of Eng. degree in 1975 from Kyoto University. In the same year he became a Research Assistant and later a Lecturer at the University of Electro-Communication. At present, he is an Associate Professor at Utsunomiya University. He is engaged in research on computer architecture, database systems, etc. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan; Information Processing Society of Japan; and I.E.E.E.Search for more papers by this author Kenzo Okuda, Kenzo Okuda Utsunomiya University Kenzo Okuda graduated in 1952 from the Department of Electrical Engineering, Waseda University, and joined Hitachi, Ltd. He has a Dr. of Eng. degree. At Hitachi Research Laboratory he engaged in the analysis of electric power systems and in the research and development of control computers. In 1979, he became a Professor in the Department of Information Science, Utsunomiya University. He has been engaged in research on knowledge engineering, database systems, computer architecture, etc. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan; Information Processing Society of Japan; and I.E.E.E.Search for more papers by this authorHiroyoshi Watanabe, Hiroyoshi Watanabe Utsunomiya University Hiroyoshi Watanabe obtained a Master's degree in 1988 in Information Science from Utsunomiya University. In graduate school, he was engaged in research on knowledge engineering. At present, he is at the Industrial Technology Center of the Tochigi Prefecture, and is a member of the Information Processing Society of Japan.Search for more papers by this authorKatsuhiro Yamazaki, Katsuhiro Yamazaki Utsunomiya University Katsuhiro Yamazaki obtained a Master's degree in 1978 in Information Engineering from Kyoto University. He later obtained a Dr. of Eng. degree. In 1980 he became a Research Assistant at Utsunomiya University, and in 1988 became an Associate Professor at Ritsumeikan University. He is engaged in research on computer architecture and knowledge engineering. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan; and A.C.M.Search for more papers by this authorTakanobu Baba, Takanobu Baba Utsunomiya University Takanobu Baba obtained a Dr. of Eng. degree in 1975 from Kyoto University. In the same year he became a Research Assistant and later a Lecturer at the University of Electro-Communication. At present, he is an Associate Professor at Utsunomiya University. He is engaged in research on computer architecture, database systems, etc. He is a member of the Institute of Electronics, Information and Communication Engineers of Japan; Information Processing Society of Japan; and I.E.E.E.Search for more papers by this author First published: 1990 https://doi.org/10.1002/eej.4391100206Citations: 3 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Citing Literature Volume110, Issue21990Pages 47-59 RelatedInformation

Participation factors and sub-Gramians in the selective modal analysis of electric power systems

Electrical Engineering in JapanVolume 109, Issue 6 p. 17-27 Article On-line P-Q decoupled preventive control considering the operating cost Hiroyuki Kita, Hiroyuki Kita Faculty of Engineering, Hokkaido University Hiroyuki Kita obtained a Master's degree in 1988 in Electrical Engineering from the Engineering Research Division of Hokkaido University. He is presently in the doctoral program at the University. He is engaged in research on analysis and control of electric power systems.Search for more papers by this authorEiichi Tanaka, Eiichi Tanaka Faculty of Engineering, Hokkaido University Eiichi Tanaka obtained a Master's degree in 1977 in Electrical Engineering from the Engineering Research Division of Hokkaido University and in April of the same year became a Research Associate in the Department of Electrical Engineering of the Faculty of Engineering. He is engaged mainly in research on the operation and control of electric power systems. He is a member of the Society of Instrument and Control Engineers.Search for more papers by this authorJun Hasegawa, Jun Hasegawa Faculty of Engineering, Hokkaido University Jun Hasegawa obtained a Dr. of Eng. degree in 1971 in Electrical Engineering from the Engineering Research Division of Hokkaido University, and in April of the same year became a Lecturer in the Department of Electrical Engineering of the Faculty of Engineering. In 1985, he became a Professor at Hokkaido Univ. He is engaged mainly in research on the operation, planning, control, analysis of electric power systems, and energy storage systems. He is a member of IEEE, etc.Search for more papers by this author Hiroyuki Kita, Hiroyuki Kita Faculty of Engineering, Hokkaido University Hiroyuki Kita obtained a Master's degree in 1988 in Electrical Engineering from the Engineering Research Division of Hokkaido University. He is presently in the doctoral program at the University. He is engaged in research on analysis and control of electric power systems.Search for more papers by this authorEiichi Tanaka, Eiichi Tanaka Faculty of Engineering, Hokkaido University Eiichi Tanaka obtained a Master's degree in 1977 in Electrical Engineering from the Engineering Research Division of Hokkaido University and in April of the same year became a Research Associate in the Department of Electrical Engineering of the Faculty of Engineering. He is engaged mainly in research on the operation and control of electric power systems. He is a member of the Society of Instrument and Control Engineers.Search for more papers by this authorJun Hasegawa, Jun Hasegawa Faculty of Engineering, Hokkaido University Jun Hasegawa obtained a Dr. of Eng. degree in 1971 in Electrical Engineering from the Engineering Research Division of Hokkaido University, and in April of the same year became a Lecturer in the Department of Electrical Engineering of the Faculty of Engineering. In 1985, he became a Professor at Hokkaido Univ. He is engaged mainly in research on the operation, planning, control, analysis of electric power systems, and energy storage systems. He is a member of IEEE, etc.Search for more papers by this author First published: November/December 1989 https://doi.org/10.1002/eej.4391090603 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume109, Issue6November/December 1989Pages 17-27 RelatedInformation

Steady state security analysis of Electric Power Systems requires identifying, accurately and efficiently, the set of critical contingencies which occurrence can endanger the system's security. Severity indices are used to rank the impact of contingencies in power system security studies. This paper proposes the use of severity indices to study and analyze security problems considering the impacts of Electrical Vehicles (EV) in the Portuguese Electrical Power System. The steady state simulations of the Portuguese Transmission System have been made in PSS/E software from Siemens Power Transmission Distribution, Inc., using snapshots that represent pictures of the real system. Finally, some conclusions that provide a valuable contribution to the understanding of the power system security analysis are pointed out.

The paper suggests Daily Artificial Dispatcher (DAD), as an ambient intelligence that solves the problem for automatic predictive analysis of electric power system (EPS) security and efficiency, using EPS and weather summarized data. DAD is constructed as heading EPS, implementing common sense thinking a day ahead for EPS. DAD is verified, as it is shown that it is an intentional agent, a robot, and an intelligent system. DAD is validated, as it is shown that it is an EPS adequate security and efficiency computation.

Model reduction has become an important issue in the analysis of electric power systems, due to their constantly increasing size and complexity. In this paper we present a decomposition algorithm which is capable of reducing the number of equations in the model, while preserving the potential for parallel computation. A variety of experimental results are provided to illustrate the performance of the algorithm.

This study presents an analysis of voltage stability of the electrical power system with the integration of renewable energy and the improvement of the conventional analysis using the artificial neural network (ANN), which is mainly focused on the effect of distributed generator-solar (DG-Solar) towards the electric power system. Real power and reactive power margins of both voltage stability are expressed as VSM (P) and VSM (Q), respectively. They are obtained from the actual power-voltage (PV) and reactive-power (QV) curve, which is created for each series by a series of load flows by incrementing P and Q load. Then, the system will integrate with 5MW, 50MW and 100MW of DG-Solar to compare the electric power system before and after the integration. The results are observed and compared for both situations. After that, an analysis improvement is made by using ANN-based model to predict the values of VSM (P) and VSM (Q) without having to perform PV QV Curve and calculate VSM (P) and VSM (Q). IEEE 30-bus was chosen as the electrical power system. The load flow analysis and ANN-based model are simulated and developed by using MATLAB software.

A robust support vector algorithm for harmonic and interharmonic analysis of electric power system

More electric aircraft (MEA) is using more electrical power on board and the stability analysis of the aircraft electric power system (AEPS) becomes more important. This paper presents a modeling study and stability analysis of the EPS for MEA. Averaging technique is used to model the aircraft EPS, which includes a generator, an autotransformer rectifier and an inverter-motor load. The proposed model is accurate and simple for the large signal stability analysis of MEA power system. Brayton-Moser mixed potential and Lyapunov stability theorems are employed to estimate the large-signal stability region of the system. Simulation results are used to verify the effectiveness and feasibility of the proposed analytical method.

A high voltage DC (HVDC) parallel electric power system (EPS) is studied in this paper. The HVDC parallel EPS provides uninterrupted onboard power supply with better performance and higher reliability. Four different frameworks of the parallel EPS are studied. The performance, complexity and reliability of the four frameworks are compared, and the "annular parallel connection" structure is selected as the best framework for the EPS. To avoid collapse of the parallel EPS, the fault detection and protection system is designed. Several sensors, breakers and relays are mounted in the EPS. The common faults of the HVDC parallel EPS are analyzed and corresponding solutions are proposed. The framework of the parallel connection and the fault analyses can provide an effective solution for the development in the HVDC EPS for the MEA.

Direct stability analysis using an energy function has recently been widely used for angular and voltage stability analysis in electric power systems. Considerable efforts have concentrated on seeking energy functions for lossy power systems, accomplished only for the simple two-bus system. A new approach is presented to derive an energy function by using the complex integral of bus current equations with respect to bus voltages. Under an assumption that all transmission lines have a uniform R/X ratio, it is shown that the energy function can be developed for multimachine power systems with losses. The proposed energy function is tested on sample systems by comparing the time simulation method, which shows the validity of the proposed method.

A power system simulation environment in MATLAB/Simulink is presented in this paper. The developed power analysis toolbox (PAT) is a very flexible and modular tool for load flow, transient, and small-signal analysis of electric power systems. Standard power system component models and a wide range of flexible AC transmission systems (FACTS) devices are included. Its data structure and block library have been tested to confirm its applicability to small-to-medium-sized power systems. Its advantages over an existing commercial package are given.

Development of digital simulators for transient analysis of electric power systems has been the subject of many research works during the last four decades. In most studies, the simulation can be done off-line but in some particular situations, usually equipment testing, it may be mandatory to have the simulation executed in real time so that the interaction with real equipments can be studied. Digital Real Time Power System Simulators, DRTPSS for short, became a mandatory tool to ensure the quality of power systems. Most of the DRTPSSs in use nowadays are based on high performance parallel processors using last generation technology. Recently, some works have proposed new architectures based on the use of FPGAs ("Field Programmable Gate Arrays") as a mean to increase the simulator's processing power without increasing its cost too much. This work shows how FPGAs can be used to implement a DRTPSS capable of simulating large electrical networks including high frequency power electronic devices.

Nowadays, in power systems, we still lack the existence of standardized test systems that can be used to benchmark the performance and solution quality of proposed optimization techniques. Several authors report that the electric load pattern is very complex. It is therefore necessary to develop new methods for design of test cases for economic analysis in power systems. Therefore, we compared two methods to generate test systems: time series model and a method simulating stable random variables based on the use of Chambers-Mallows-Stuck. This paper describes a method for simulating stable random variables in the generation of test systems for economic analysis in power systems. A study focused on generating test electrical systems through stable distribution to model for unit commitment problem in electrical power systems. Usually, the instances of test systems in unit commitment are generated using normal distribution, but the behavior of electrical demand does not follow a normal distribution; in this work, simulation data are based on a new method. For empirical analysis, we used three original systems to obtain the demand behavior and thermal production costs. Numerical results illustrate the applicability of the proposed method by solving several unit commitment problems directly and through the Lagrangian relaxation of the original problem. All Rights Reserved © 2015 Universidad Nacional Autonoma de Mexico, Centro de Ciencias Aplicadas y Desarrollo Tecnologico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.