scholarly journals Improved Krill Herd Algorithm with Novel Constraint Handling Method for Solving Optimal Power Flow Problems

Energies ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 76 ◽  
Author(s):  
Gonggui Chen ◽  
Zhengmei Lu ◽  
Zhizhong Zhang
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Constraint Handling ◽  
Flow Problems ◽  
Krill Herd Algorithm ◽  
Optimal Power ◽  
Krill Herd ◽  
Handling Method

A solution network based on stud krill herd algorithm for optimal power flow problems

2016 ◽  
Vol 22 (1) ◽  
pp. 159-176 ◽  
Author(s):  
Harish Pulluri ◽  
R. Naresh ◽  
Veena Sharma
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problems ◽  
Krill Herd Algorithm ◽  
Optimal Power ◽  
Krill Herd

scholarly journals A Combinatory Index based Optimal Reallocation of Generators in the presence of SVC using Krill Herd Algorithm

2017 ◽  
Vol 7 (1) ◽  
pp. 213-220
Author(s):  
Bali Sravana Kumar ◽  
Munugala Suryakalavathi ◽  
Gundavarapu Venkata Nagesh Kumar
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Combination Strategy ◽  
Normal Loading ◽  
Effective Utilization ◽  
Optimal Tuning ◽  
Krill Herd Algorithm ◽  
Facts Devices ◽  
Optimal Power ◽  
Krill Herd

AbstractIn the new competitive electric world, it is compulsory for the electrical industry to make effective utilization of the available resources. Optimal tuning of generators and implementation of FACTS devices has been found to be very effective in this regard. In this paper, a combination strategy of optimal tuning of generators using Krill herd (KH) algorithm in the presence of Static VAR Compensator (SVC) has been proposed. A combinatory index (CI), which is a combination of Vi/Vo index and L-index, has been formulated and verified for obtaining the optimal location of SVC. A multi objective function has been formulated for tuning the generators. The results obtained after performing Optimal Power Flow on an IEEE 30 bus system for normal loading and for severe system conditions due to line outage in the presence of SVC using KH has been verified with that of GA, to prove the effectiveness of the chosen methodology.

scholarly journals Optimal Power Flow Incorporating FACTS Devices and Stochastic Wind Power Generation Using Krill Herd Algorithm

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1043 ◽  
Author(s):  
Arsalan Abdollahi ◽  
Ali Ghadimi ◽  
Mohammad Miveh ◽  
Fazel Mohammadi ◽  
Francisco Jurado
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Power Generation ◽  
Krill Herd Algorithm ◽  
Facts Devices ◽  
Optimal Power ◽  
Krill Herd

This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta-heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem using Weibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, and Combined Economic and Environmental Costs (CEEC), are separately formulated to solve the OPF considering FACTS devices and stochastic wind power generation. The effectiveness of the KHA approach is investigated on modified IEEE-30 bus and IEEE-57 bus test systems and compared with other conventional methods available in the literature.

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