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

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.

2020 ◽  
Vol 5 (12) ◽  
pp. 275-290
Author(s):  
K. Lenin

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.


SINERGI ◽  
2018 ◽  
Vol 22 (3) ◽  
pp. 155
Author(s):  
Kanagasabai Lenin

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.


2014 ◽  
Vol 960-961 ◽  
pp. 1124-1127
Author(s):  
Si Yu Li ◽  
Jia Dong Huang ◽  
Cui Ma

Nowadays, unbalanced loads or nonlinear loads produce a bad effect on the power quality of utility mains. Also, it is necessary for reactive power to be compensated because the most of industrial loads is inductive and make a lagging displacement power factor. Reactive power compensation utilizing STATCOM is one of the most important methods to improve power quality. In this paper, the technical feature of STATCOM is introduced and then a comparison with SVC is made. The effect of STATCOM on static voltage stability in power systems has been studied. Based on PSD-BPA software, effect of STATCOM is determined. Static voltage stability margin enhancement using STATCOM and SVC is compared in the modified IEEE 14-bus test system. Test results show very encouraging result.


2018 ◽  
Vol 6 (1) ◽  
pp. 266-276
Author(s):  
K. Lenin

In this paper, a new Vortex Optimization (VO) algorithm is proposed to solve the reactive power problem. The idea is generally focused on a typical Vortex flow in nature and enthused from some dynamics that are occurred in the sense of Vortex nature. In a few words, the algorithm is also a swarm-oriented evolutional problem solution methodology; since it comprises numerous techniques related to removal of feeble swarm members and trying to progress the solution procedure by supporting the solution space through fresh swarm members. In order to evaluate the performance of the proposed Vortex Optimization (VO) algorithm, it has been tested in Standard IEEE 30 bus systems and compared to other standard algorithms. Simulation results reveal about the best performance of the proposed algorithm in reducing the real power loss and static voltage stability margin index has been enhanced.


2015 ◽  
Vol 781 ◽  
pp. 288-291 ◽  
Author(s):  
Natakorn Thasnas ◽  
Apirat Siritaratiwat

This paper presents the study of static voltage stability margin enhancement using shunt capacitor, SVC and STATCOM. AC and DC representations of shunt compensation devices are used in the continuation power flow process in static voltage stability study. Various performance measures including PV curves, voltage profiles, and power losses are compared. Placement and sizing techniques of shunt compensation devices are proposed for loading margin enhancement. The study has been carried out on the IEEE 14 bus test system.


2017 ◽  
Vol 5 (5) ◽  
pp. 349-360
Author(s):  
K. Lenin

This paper presents a new Salmo Salar (SS) algorithm for Solving Optimal Reactive Power Dispatch Problem. Salmo Salar Algorithm imitates the annual natural events happening in the North America. Millions of Salmo salar move about through mountain streams for spawning. Proposed SS algorithm utilizes the behaviour of Salmo Salar to solve the optimal reactive power problem. Proposed (SS) algorithm has been tested in standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm in reducing the real power loss and enhancing the voltage stability.


2017 ◽  
Vol 5 (7) ◽  
pp. 506-519
Author(s):  
K. Lenin

This paper presents a new Hybridized Algorithm (HA) for solving the multi-objective reactive power dispatch problem. Inspired by Genetic Algorithm (GA), Particle Swarm Optimization (PSO) & the Bat Algorithm (BA), the HA was designed to retain some advantages of each method to improve the exploration and exploitation of the search. Scrutinizing PSO and BA reveals some differences, in that BA rejects the historical experience of each individual’s own position but admits an improved personal solution with some probability. We will adjust some of the updating mechanisms of BA and add a mutation method in order to try to solve reactive power problem more accurately. Proposed (HA) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the good performance of the proposed algorithm.


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