scholarly journals A Reactive Power Resource Planning by Multi-stage Tabu Search

2000 ◽  
Vol 120 (2) ◽  
pp. 148-153
Author(s):  
Koichi Nara ◽  
Hua Hu
Keyword(s):  
Tabu Search ◽  
Reactive Power ◽  
Resource Planning ◽  
Power Resource ◽  
Multi Stage

scholarly journals Resource planning for just-in-time make-to-order environments: A scalable methodology using tabu search

2017 ◽  
Vol 4 (1) ◽  
pp. 1341289 ◽  
Author(s):  
Scott A. Moses ◽  
Wassama Sangplung ◽  
Wenjun Xu
Keyword(s):  
Tabu Search ◽  
Resource Planning ◽  
Just In Time ◽  
Make To Order

Reactive Power Compensation of the Distribution Power System with Distributed Generation Using Improved Tabu Search Algorithm

2013 ◽  
Vol 765-767 ◽  
pp. 2503-2508
Author(s):  
Xiang Lei ◽  
Yan Li ◽  
Shao Rong Wang ◽  
Hong Zhao ◽  
Fen Zhou ◽  
...  
Keyword(s):  
Tabu Search ◽  
Distributed Generation ◽  
Power Loss ◽  
Cost Allocation ◽  
Reactive Power ◽  
Search Algorithm ◽  
Test System ◽  
Local Optimum ◽  
Tabu Search Algorithm ◽  
Optimal Position

Taking account of the mutual impacts of distributed generation and reactive power, to determine the optimal position and capacity of the compensation device to be installed, the paper proposed an improved Tabu search algorithm for reactive power optimization. The voltage quality is considered of the model using minimum network active power loss as objective Function. It is achieved by maintaining the whole system power loss as minimum thereby reducing cost allocation. On the basis of general Tabu search algorithm, the algorithm used memory guidance search strategy to focus on searching for a local optimum value, avoid a global search blindness. To deal with the neighborhood solution set properly and save algorithm storage space , some corresponding improvements are made, thus, it is easily to stop the iteration of partial optimization and it is more probable to achieve the global optimization by use of the improved algorithm. Simulations are carried out on standard IEEE 33 test system and results are presented.

A Multi-Stage Stochastic Non-Linear Model for Reactive Power Planning Under Contingencies

2013 ◽  
Vol 28 (2) ◽  
pp. 1503-1514 ◽  
Author(s):  
Julio Cesar Lopez ◽  
Javier Contreras ◽  
Jose I. Munoz ◽  
J. R. S. Mantovani
Keyword(s):  
Linear Model ◽  
Reactive Power ◽  
Multi Stage ◽  
Non Linear ◽  
Reactive Power Planning

Application of Tabu-Genetic Algorithm in Reactive Power Optimization

2014 ◽  
Vol 1006-1007 ◽  
pp. 1021-1025
Author(s):  
Song Tao Zhang ◽  
Gong Bao Wang ◽  
Hui Bo Wang
Keyword(s):  
Genetic Algorithm ◽  
Tabu Search ◽  
Local Search ◽  
Reactive Power ◽  
Power Optimization ◽  
Search Algorithm ◽  
Tabu Search Algorithm ◽  
Reactive Power Optimization ◽  
Simple Genetic Algorithm ◽  
Better Than

By using tabu search algorithm which has strong local search ability as mutation operator of genetic algorithm, the tabu-genetic algorithm is designed for reactive power optimization in this paper, the strong global search ability of genetic algorithm and strong local search ability of tabu search algorithm is combined, the disadvantage of weak local search ability of genetic algorithm is conquered. Otherwise, the over limit of population is recorded and filtered, to ensure the final individual is under limit and effective. The tabu-genetic algorithm and simple genetic algorithm are used for simulation of IEEE 14-bus system 500 times, the results indicate that the performance of the tabu-genetic algorithm is much better than the simple genetic algorithm, its local search ability is improved obviously, and the active power loss is reduced more.

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