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2016, Control engineering
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10 pages
1 file
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made.
1993
Professor Jan Machowski received his MSc and PhD degrees in Electrical Engineering from Warsaw University of Technology in 1974 and 1979, respectively. After obtaining field experience in the Dispatching Centre and several power plants, he joined the Electrical Faculty of Warsaw University of Technology where presently he is employed as a Professor and Director of the Power Engineering Institute. His areas of interest are electrical power systems, power system protection and control. In 1989-93 Professor Machowski was a Visiting Professor at Kaiserslautern University in Germany where he carried out two research projects on power swing blocking algorithms for distance protection and optimal control of FACTS devices.
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Power and Energy Society General Meeting, 2010 …, 2010
Grid operation under market competition forces systems closer to their instability boundaries, and operating decisions must be based on accurate online system identifications. This paper presents a new framework for online power system dynamic stability enhancement with a new rescheduling market construction. The approach is to solve the online transient and oscillatory stability constrained economic power system operation by a mixture of a modified particle swarm optimization (PSO) and artificial neural network (ANN). The problem is formulated as nonlinear constrained optimization problem and PSO has been used as optimization tool to guarantee searching the optimal economic solution within the available hyperspace reducing the time consumed in the computations by using ANN to assess power system dynamic stability. The rescheduling process based on the generation companies (GENCOs)/consumer's bids is used as a remedial action to maintain system operation away from the limits of system stability. The goal of the approach is to minimize the opportunity cost payments for GENCOs/consumers backed down in generation/load and the additional cost for GENCOs/consumers increased their generation/load in order to enhance system dynamic stability. The critical clearing time (CCT) at the critical contingency is considered as an index for transient stability. System minimum damping of oscillation (MDO) is considered as indicator for oscillatory stability. The proposed framework is examined on a 66-bus test system.
Professor Jan Machowski received his MSc and PhD degrees in Electrical Engineering from Warsaw University of Technology in 1974 and 1979, respectively. After obtaining field experience in the Dispatching Centre and several power plants, he joined the Electrical Faculty of Warsaw University of Technology where presently he is employed as a Professor and Director of the Power Engineering Institute. His areas of interest are electrical power systems, power system protection and control. In 1989-93 Professor Machowski was a Visiting Professor at Kaiserslautern University in Germany where he carried out two research projects on power swing blocking algorithms for distance protection and optimal control of FACTS devices.
Power Systems, 2018
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Power systems, 2017
To study the stability and to observe how the power system behaves, during normal and abnormal conditions, availability of a simulation model of the considering Power System is very important. To ascertain that the simulation model's performance is identical or approximately equal to the corresponding real time power system's behavior, it has been decided to consider the power system of Sri Lanka of which required data could be collected from the Ceylon Electricity Board (CEB) on request. Therefore a simulation model of the Power System of Sri Lanka (Transmission network-132 and 220 kV) was designed using the software PSCAD/EMTDC. PSCAD is a power-system simulator for the design and verification of power quality studies, power electronic design, distributed generation, and transmission planning. It was developed by the Manitoba HVDC Research Center and has been in use since 1975. PSCAD is a graphical front end to EMTDC for creating models and analyzing results. In PSCAD, one combines blocks to form a power network. These blocks are actually FORTRAN code, which call for an EMTDC code library to combine them into executable files. Running these files runs the simulations, and the results can be picked up by PSCAD on the run [36-39]. PSCAD is suitable for modelling the power system of Sri Lanka for several reasons. PSCAD has fully developed models of various devices used in the PS of Sri Lanka. • The library includes models of synchronous machines, turbines, governors, transformers, relays, breakers, cables, and transmission lines. Saturation, magnetizing, and leakage inductances can be disabled or enabled in the rotating machine models. PSCAD also offers tools to simulate various faults on the power system. By providing actual parameters/data where necessary, it is possible to develop models of different power system components. • The systems of the PSCAD library may consist of electrical and control-type components, which may be interconnected to allow for an all-inclusive simulation study. The control systems modeling function section of the PSCAD library provides a complete set of basic linear and nonlinear control
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Energies, 2020
Power System Stability [Working Title]