A modified bacterial foraging algorithm based optimal reactive power dispatch

Reddy, P. Lokender; Yesuratnam, G.

doi:10.11591/ijeecs.v13.i1.pp361-367

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…These methods are efficient and flexible methods. Discrete and constraint optimization problems can be easily solved by using Meta-heuristic approaches [8]. Problems related to multimodal, multi objective functions can also be solved by using these methods.…”

Section: Meta-heuristic Methodsmentioning

confidence: 99%

A review on optimal placement and sizing of custom power devices/FACTS devices in electrical power systems

Tejaswini¹,

Susitra²

2019

IJPEDS

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Power loss reduction, improvement of voltage profile, system reliability and system security are the important objectives that motivated researchers to use custom power devices/FACTS devices in power systems. The existing power quality problems such as power losses, voltage instability, voltage profile problem, load ability issues, energy losses, reliability problems etc. are caused due to continuous load growth and outage of components. The significant qualities of custom power devices /FACTS devices such as power loss reduction, improvement of voltage profile, system reliability and system security have motivated researchers in this area and to implement these devices in power system. The optimal placement and sizing of these devices are determined based on economical viability, required quality, reliability and availability. In published literatures, different algorithms are implemented for optimal placement of these devices based on different conditions. In this paper, the published literatures on this field are comprehensively reviewed and elaborate comparison of various algorithms is compared. The inference of this extensive comparative analysis is presented. In this research, Meta heuristic methods and sensitive index methods are used for determining the optimal location and sizing of custom power devices/FACTS devices. The combination of these two methods are also implemented and presented.

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Section: Meta-heuristic Methodsmentioning

confidence: 99%

A review on optimal placement and sizing of custom power devices/FACTS devices in electrical power systems

Tejaswini¹,

Susitra²

2019

IJPEDS

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“…, and are generator energy cost coefficients for the ℎ generating unit. In this conventional market clearing, after optimizing the real power cost minimization, reactive powers are known after actual implementation [17]. From the obtained reactive powers, reactive power cost is calculated using,…”

Section: Objective 1: Fuel Cost (Fc) Minimizationmentioning

confidence: 99%

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

2021

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In this paper an optimal energy and reactive power dispatch problem is solved by using the ant lion optimization (ALO) algorithm by considering the total cost minimization and social welfare maximization (SWM) objectives. Two different market models are proposed in this work, i.e., conventional/sequential market clearing and the proposed/simultaneous market clearing. In each market model, two objectives, i.e., total cost minimization and SWM are considered. The conventional social welfare (SW) consists the benefit function of consumers and the cost function of active power generation. In this paper, the conventional SW is modified by including the reactive power cost function. The reactive power cost calculation is exactly same as that in the conventional practice. The most important difference is that instead of doing cost calculation in post-facto manner as in conventional practice, simultaneous approach is proposed in this work. The scientificity and suitability of the proposed simultaneous active and reactive power methodology has been examined on standard IEEE 30 bus test system.

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“…The mathematical expression of the active transmission losses in the electrical power network is defined as follows [25]:…”

Section: Objective Functions 211 Total Active Transmission Lossesmentioning

confidence: 99%

A novel hybrid approach based artificial bee colony and salp swarm algorithms for solving ORPD problem

Salhi

Naimi

Salhi

et al. 2021

IJEECS

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Optimal reactive power dispatch (ORPD) is an important task for achieving more economical, secure and stable state of the electrical power system. It is expressed as a complex optimization problem where many meta-heuristic techniques have been proposed to overcome various complexities in solving ORPD problem. A meta-heuristic search mechanism is characterized by exploration and exploitation of the search space. The balance between these two characteristics is a challenging problem to attain the best solution quality. The artificial bee colony (ABC) algorithm as a reputed meta-heuristic has proved its goodness at exploration and weakness at exploitation where the enhancement of the basic ABC version becomes necessary. Salp swarm algorithm (SSA) is a newly developed swarm-based meta-heuristic, which has the best local search capability by using the best global solution in each iteration to discover promising solutions. In this paper, a novel hybrid approach-based ABC and SSA algorithms (ABC-SSA) is that developed to enhance the exploitation capability of the ABC algorithm using SSA and applied for solving ORPD problem. The efficiency of ABC-SSA is investigated using two standard test systems IEEE-30 and IEEE-300 buses, and that by considering the famous objective functions in ORPD problem.

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A modified bacterial foraging algorithm based optimal reactive power dispatch

Cited by 5 publications

References 12 publications

A review on optimal placement and sizing of custom power devices/FACTS devices in electrical power systems

A review on optimal placement and sizing of custom power devices/FACTS devices in electrical power systems

Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

A novel hybrid approach based artificial bee colony and salp swarm algorithms for solving ORPD problem

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