Results 271 to 280 of about 8,013,995 (308)
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A new reactive power optimization algorithm

2003 IEEE Bologna Power Tech Conference Proceedings,, 2004
This paper presents an algorithm for optimizing reactive power using particle swarm algorithm. A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss.
Mantawy, A.H., Al-Ghamdi, M.S.
openaire   +1 more source

Optimizing generator reactive power resources

IEEE Transactions on Power Systems, 1999
A method is described for selecting generator step-up and auxiliary transformer tap positions to provide the desired reactive power requirements in a coal burning power plant. It is shown how a generator could be made to absorb reactive power, when previously unable to do so, by the adjustment of tap positions on the generator step-up and auxiliary ...
M.M. Adibi, D.P. Milanicz, T.L. Volkmann
openaire   +1 more source

Dynamic optimal reactive power flow

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998
An efficient method for minimization of energy loss over time is presented. The proposed method uses different loading conditions during a given future time interval instead of one single snapshot of the network. The method finds the optimal conditions during the given interval. The given interval is divided into several shorter periods.
S.S. Sharif, J.H. Taylor
openaire   +1 more source

Optimal real and reactive power dispatch

Electric Power Systems Research, 1984
Abstract This paper presents a method for optimal real and reactive power dispatch for the economic operation of power systems. As in other methods, the problem is decomposed into a P-optimization module and a Q-optimization module, but in this method both modules use the same generation cost objective function.
K.Y. Lee, Y.M. Park, J.L. Ortiz
openaire   +1 more source

Optimal Reactive Power Control in Hybrid Power Systems

Electric Power Components and Systems, 2012
Abstract Optimal reactive power flow accounts for the major reduction in active power loss as well as more stable system operation. This article presents a novel model for optimal reactive power flow in hybrid power systems. Hybrid systems consist of an AC-DC system and flexible AC transmission system devices.
Reza Taghavi, Alireza Seifi
openaire   +1 more source

Security constrained reactive power optimization

2022
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Reactive power optimization considering dynamic reactive power reserves

2014 International Conference on Power System Technology, 2014
null Jinquan Zhao   +3 more
openaire   +1 more source

Optimization of Reactive Power Expansion Planning

Electric Power Components and Systems, 2011
Abstract This article presents a penalty successive linear programming approach for optimum investment of reactive power in networks. Unlike many successive linear programming algorithms, the proposed approach is based on a successive linear programming framework that admits a convergence proof for non-linearly constrained problems of general form. The
openaire   +1 more source

Reactive power optimization by genetic algorithm

Conference Proceedings Power Industry Computer Application Conference, 1993
This paper presents a new approach to optimal reactive power planning based on a genetic algorithm. Many outstanding methods to this problem have been proposed in the past. However, most these approaches have the common defect of being caught to a local minimum solution.
openaire   +1 more source

Reactive power optimization of power system based on particle swarm optimization

Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022
Xi Wang, Yu Xiao
openaire   +1 more source

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