scholarly journals Optimal Reactive Power Dispatch using Hybrid Grey Wolf Optimization Technique

2019 ◽  
Vol 14 (2) ◽  
pp. 178-183
Author(s):  
Z. B. Parekh ◽  
Bhavik N. Suthar ◽  
◽  
Keyword(s):  
Reactive Power ◽  
Optimization Technique ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

scholarly journals BAT algorithm and Ant Colony Optimization based Optimal Reactive Power Dispatch to Improve Voltage Stability

2017 ◽  
Vol 2 (6) ◽  
pp. 27 ◽  
Author(s):  
Rayudu Katuri ◽  
Guduri Yesuratnam ◽  
Askani Jayalaxmi
Keyword(s):  
Ant Colony Optimization ◽  
Voltage Stability ◽  
Reactive Power ◽  
Optimization Technique ◽  
Bat Algorithm ◽  
Ant Colony ◽  
Voltage Profile ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

One of the important tasks of a power system engineer is to run the system in safe and reliable mode for secure operation with increase in loading. So, it is significant to perform voltage stability analysis by optimal reactive power dispatch with Artificial Intelligence (AI) techniques. This paper presents the application of Ant Colony Optimization (ACO) and BAT algorithms for Optimal Reactive Power Dispatch (ORPD) to enhance voltage stability. The proposed ACO and BAT algorithms are used to find the optimal settings of On-load Tap changing Transformers (OLTC), Generator excitation and Static Var Compensators (SVC) to minimize the sum of the squares of the voltage stability L– indices of all the load buses. By calculating system parameters like L-Index, voltage error/deviation and real power loss for the practical Equivalent of Extra High Voltage (EHV) Southern Region Indian 24 bus system, voltage profile is improved and voltage stability is enhanced. A comparative analysis is done with the conventional optimization technique like Linear Programming (LP) for the given objective function to demonstrate the effectiveness of proposed ACO and BAT algorithms. 

Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique

2017 ◽  
Vol 59 ◽  
pp. 210-222 ◽  
Author(s):  
Rebecca Ng Shin Mei ◽  
Mohd Herwan Sulaiman ◽  
Zuriani Mustaffa ◽  
Hamdan Daniyal
Keyword(s):  
Reactive Power ◽  
Optimization Technique ◽  
Loss Minimization ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Reactive Power Dispatch

A Novel Evolutionary Optimization Technique for Solving Optimal Reactive Power Dispatch Problems

2016 ◽  
pp. 244-275 ◽  
Author(s):  
Provas Kumar Roy
Keyword(s):  
Reactive Power ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Search Space ◽  
Continuous Space ◽  
Optimal Reactive Power Dispatch ◽  
Power Dispatch ◽  
Local Optimal Solution ◽  
Reactive Power Dispatch

Biogeography based optimization (BBO) is an efficient and powerful stochastic search technique for solving optimization problems over continuous space. Due to excellent exploration and exploitation property, BBO has become a popular optimization technique to solve the complex multi-modal optimization problem. However, in some cases, the basic BBO algorithm shows slow convergence rate and may stick to local optimal solution. To overcome this, quasi-oppositional biogeography based-optimization (QOBBO) for optimal reactive power dispatch (ORPD) is presented in this study. In the proposed QOBBO algorithm, oppositional based learning (OBL) concept is integrated with BBO algorithm to improve the search space of the algorithm. For validation purpose, the results obtained by the proposed QOBBO approach are compared with those obtained by BBO and other algorithms available in the literature. The simulation results show that the proposed QOBBO approach outperforms the other listed algorithms.

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