scholarly journals ACTIVE POWER LOSS REDUCTION AND IMPROVEMENT OF STATIC VOLTAGE STABILITY MARGIN INDEX BY WATERWAY ALGORITHM

SINERGI ◽  
2018 ◽  
Vol 22 (3) ◽  
pp. 155
Author(s):  
Kanagasabai Lenin
Keyword(s):  
Power Loss ◽  
Voltage Stability ◽  
Stability Margin ◽  
Natural World ◽  
Active Power ◽  
Superior Performance ◽  
Loss Reduction ◽  
Static Voltage Stability ◽  
Voltage Stability Margin ◽  
Power Loss Reduction

In this paper, the Waterway Algorithm (WA) is used for Active Power Loss Reduction and improvement of Static Voltage Stability Margin Index. The design of the Waterway Algorithm (WA) is imitated from nature and the whole waterway process which involves the flow of streams and rivers into the sea in the natural world. The proposed Waterway Algorithm (WA) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the superior performance of the proposed algorithm in reducing the real power loss and upgrading the Static Voltage Stability Margin Index.

scholarly journals ACTIVE POWER LOSS REDUCTION & STATIC VOLTAGE STABILITY MARGIN ENHANCEMENT BY AERIFORM NEBULA ALGORITHM

2017 ◽  
Vol 5 (10) ◽  
pp. 375-389
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Margin ◽  
Test System ◽  
Superior Performance ◽  
Static Voltage Stability ◽  
Optimal Reactive Power Dispatch ◽  
Voltage Stability Margin ◽  
Power Loss Reduction

In this paper, Aeriform Nebula Algorithm (ANA) has been used for solving the optimal reactive power dispatch problem. Aeriform Nebula Algorithm (ANA) is stirred from the deeds of cloud. ANA imitate the creation behavior, modify behavior and expand deeds of cloud. The projected Aeriform Nebula Algorithm (ANA) has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed Aeriform Nebula Algorithm (ANA) in reducing the real power loss and voltage stability has been enhanced.

scholarly journals REDUCTION OF ACTIVE POWER LOSS & STATIC VOLTAGE STABILITY MARGIN ENHANCEMENT BY VIRAL SYSTEM ALGORITHM

2020 ◽  
Vol 5 (12) ◽  
pp. 275-290
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Margin ◽  
Test System ◽  
Superior Performance ◽  
Static Voltage Stability ◽  
Voltage Stability Margin ◽  
Fitness Value ◽  
Feasibility Region

This paper presents Viral Systems Algorithm (VSA) for solving optimal reactive power problem. VSA have proven to be very efficient when dealing with problems of high complexity. The virus infection expansion corresponds to the feasibility region exploration, and the optimum corresponds to the organism lowest fitness value. Many available algorithms usually present weaknesses and cannot guarantee the optimum output for the problem in a bounded time. Projected Viral Systems Algorithm (VSA) has been tested on standard IEEE 30 bus test system and simulation results show clearly about the superior performance of the proposed Viral Systems Algorithm (VSA) in reducing the real power loss and static voltage stability margin (SVSM) index has been enhanced.

scholarly journals ACTIVE POWER LOSS REDUCTION BY AMPLIFIED ANT COLONY ALGORITHM

2018 ◽  
Vol 6 (7) ◽  
pp. 132-141
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Ant Colony Algorithm ◽  
Reactive Power ◽  
Active Power ◽  
Ant Colony ◽  
Superior Performance ◽  
Loss Reduction ◽  
Power Loss Reduction ◽  
Simulation Results ◽  
Power Problem

In this paper, Amplified Ant Colony (AAC) algorithm has been proposed for solving optimal reactive power problem. Mutation of Genetic algorithm (GA) is used in Ant Colony Algorithm (ACA) and the output of the GA is given as an input to the ACA. The proposed Amplified Ant Colony (AAC) algorithm has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior performance of the proposed Amplified Ant Colony (AAC) algorithm in reducing the real power loss & voltage profiles are within the limits.

Real Power Loss Reduction by Billfish and Red Mullet Optimization Algorithms

2021 ◽  
Author(s):  
Lenin Kanagasabai
Keyword(s):  
Power Loss ◽  
Voltage Stability ◽  
Reactive Power ◽  
Smart Cities ◽  
Fitness Function ◽  
Loss Reduction ◽  
Real Power ◽  
Red Mullet ◽  
Power Loss Reduction ◽  
Continuous Power

In this paper Billfish Optimization Algorithm (BOA) and Red Mullet Optimization (RMO) Algorithm has been designed for voltage stability enhancement and power loss reduction. Electrical Power is one among vital need in the society and also it plays lead role in formation of smart cities. Continuous power supply is essential and mainly quality of the power should be maintained in good mode. In this work real power loss reduction is key objective. Natural hunting actions of Billfish over pilchards are utilized to model the algorithm. Candidate solutions in the projected algorithm are Billfish and population in the exploration space is arbitrarily engendered. Movement of Billfish is high, it will attack the pilchards vigorously and it can’t escape from the attack done by the group of Billfish. Then in this paper Red Mullet Optimization (RMO) Algorithm is proposed to solve optimal reactive power problem. Projected RMO algorithm modeled based on the behavior and characteristics of red mullet. As a group they hunt for the prey and in each group there will be chaser and blocker. When the prey approaches any one of the blocker red mullet then automatically it will turn as new chaser. So roles will interchangeable and very much flexible. At any time chaser will become blocker and any of the blocker will become a chaser with respect to prey position and conditions. Then in that particular area when all the preys are hunted completed then red mullet group will change the area. So there will be flexibility and changing the role quickly with respect to prey position. Alike to that with reference to the fitness function the particle will be chosen as chaser. By means of considering L (voltage stability) - index BOA, and RMO algorithms verified in IEEE 30- bus system. Then without L-index BOA and RMO algorithms is appraised in 30 bus test systems. Both BOA and RMO algorithms condensed the power loss proficiently with improvement in voltage stability and minimization of voltage deviation.

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