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Volume 144
Issue 4
IEE Proceedings - Generation, Transmission and Distribution
Volume 144, Issue 4, July 1997
Volumes & issues:
Volume 144, Issue 4
July 1997
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- Author(s): Y.H. Song ; G.S. Wang ; A.T. Johns ; P.Y. Wang
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 345 –350
- DOI: 10.1049/ip-gtd:19971101
- Type: Article
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p.
345
–350
(6)
Network reconfiguration for loss reduction in distribution systems is a very important way to save energy. However, due to its nature it is an inherently difficult optimisation problem. A new type of evolutionary search technique, evolutionary programming (EP), has been adopted and improved for this particular application. To improve the performance of EP, a fuzzy controlled EP (FCEP), based on heuristic information, is first proposed. The mutation fuzzy controller adaptively adjusts the mutation rate during the simulated evolutionary process. The status of each switch in distribution systems is naturally represented by a binary control parameter 0 or 1. The length of string is much shorter than those proposed by others. A chain-table and combined depth-first and breadth-first search strategy is employed to further speed up the optimisation process. The equality and inequality constraints are imbedded into the fitness function by penalty factors which guarantee the optimal solutions searched by the FCEP are feasible. The implementation of the proposed FCEP for feeder reconfiguration is described in detail. Numerical results are presented to illustrate the feasibility of the proposed FCEP. - Author(s): Z.Q. Bo ; R.K. Aggarwal ; A.T. Johns ; B.H. Zhang ; Y.Z. Ge
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 351 –356
- DOI: 10.1049/ip-gtd:19971102
- Type: Article
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p.
351
–356
(6)
The authors present a new concept: ‘adaptive optimal reclosure’ under transmission line faults by integrating the adaptive and optimal reclosure techniques. Simulation studies prove that the proposed technique is able to first detect the persistence time of fault path arc and then capture the optimal reclosure time, thereby enhancing system stability. - Author(s): R.S. Tare and P.R. Bijwe
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 357 –362
- DOI: 10.1049/ip-gtd:19971099
- Type: Article
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p.
357
–362
(6)
The paper presents a new look-ahead approach to loadability (static voltage stability limit) enhancement of power systems. Most researchers have used approaches that optimise the reactive losses/reactive reserves based on present operating condition. Although reactive power optimisation based on such strategies may result in an increase in distance to collapse, such an increase may not be sufficient. This is because a key factor in loadability enhancement is the reflection of load increase scenario in the optimisation problem. The proposed approach achieves this objective without making the problem too complex. The objective is to minimise reactive power losses near critical loading such that constraints at both loadings are satisfied. Results for two sample test systems, IEEE 30 bus and IEEE 14 bus have been obtained with local as well as look-ahead optimisation strategies to demonstrate the superiority of the latter over the former. - Author(s): N.D. Hatziargyriou and T.S. Karakatsanis
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 363 –369
- DOI: 10.1049/ip-gtd:19971097
- Type: Article
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p.
363
–369
(7)
The paper presents a method for the adjustment of voltage and reactive power control devices in distribution networks based on probabilistic constrained load flow. The overall control problem is decoupled into subproblems characterised by the reaction speed of the control devices. The algorithm takes into account the effects of load variations within the time period considered, and provides setpoints for control devices satisfying constraints for the whole planning period. - Author(s): H.P. Schmidt
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 371 –376
- DOI: 10.1049/ip-gtd:19971098
- Type: Article
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p.
371
–376
(6)
The problem of assessing the voltage stability in electrical power systems is addressed through the artificial neural network (ANN) approach. The ANN field has undergone rapid development in the past few years and it offers potential advantages regarding efficient computation and ease of knowledge acquisition. A dynamic model of the power system is used to train multilayer perceptron networks to make them capable of indicating if and when a voltage collapse is likely to occur in the immediate future. Problems found during the validation of the proposed methodology are reported and discussed. - Author(s): Y.H. Song ; G.S. Wang ; P.Y. Wang ; A.T. Johns
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 377 –382
- DOI: 10.1049/ip-gtd:19971100
- Type: Article
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p.
377
–382
(6)
The paper presents the application of a fuzzy logic controlled genetic algorithm (FCGA) to environmental/economic dispatch. The authors first propose an improved genetic algorithm with two fuzzy controllers based on some heuristics to adaptively adjust the crossover probability and mutation rate during the optimisation process. The implementation of the fuzzy crossover and mutation controllers is described. The proposed FCGA can be applied to a wide range of optimisation problems. The validity of the proposed algorithm is illustrated on environmental/economic dispatch of a six-generator system. Its performance is compared with conventional GA and the Newton–Raphson method. The results are very encouraging. - Author(s): Z. Emin ; B.A.T. Al Zahawi ; D.W. Auckland ; Y.K. Tong
- Source: IEE Proceedings - Generation, Transmission and Distribution, Volume 144, Issue 4, p. 383 –387
- DOI: 10.1049/ip-gtd:19971061
- Type: Article
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p.
383
–387
(5)
Ferroresonance in electromagnetic voltage transformers, fed through circuit breaker grading capacitance, is studied using nonlinear dynamics methods. The magnetising characteristic of a typical 100 VA voltage transformer is represented by a single-valued two-term polynomial of the order seven. The system exhibits three types of ferroresonance: fundamental frequency ferroresonance, subharmonic ferroresonance and chaotic ferroresonance, similar to high capacity power transformers fed through capacitive coupling from neighbouring lines or phases. Results also show that while fundamental frequency and subharmonic ferroresonance can occur under commonplace operating conditions, chaotic states are unlikely in practice.
Distribution network reconfiguration for loss reduction using fuzzy controlled evolutionary programming
New concept in transmission line reclosure using high-frequency fault transients
Look-ahead approach to power system loadability enhancement
Distribution system voltage and reactive power control based on probabilistic load flow analysis
Application of artificial neural networks to the dynamic analysis of the voltage stability problem
Environmental/economic dispatch using fuzzy logic controlled genetic algorithms
Ferroresonance in electromagnetic voltage transformers: A study based on nonlinear dynamics
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