Symbiotic organisms search optimization algorithm for economic/emission dispatch problem in power systems

Döşoğlu, M. Kenan; Güvenç, Uğur; Duman, Serhat; Sönmez, Yusuf; Kahraman, Hamdi Tolga

doi:10.1007/s00521-016-2481-7

Cited by 69 publications

(34 citation statements)

References 30 publications

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“…Finding the best compromising solution in view of all the objectives also becomes difficult since the optimization algorithms are originally designed to optimize a single objective. 34 In recent years, SOS algorithm and some of its variants have been widely applied in solving various power engineering optimization problems, such as economic load dispatch, [35][36][37][38] optimal power flow, 39 congestion management, 40 and optimal DG allocation problem. In the weighted sum approach, a single solution is obtained that depends on the selected weights for each objective.…”

Section: Introductionmentioning

confidence: 99%

“…The SOS is a swarm intelligence-based algorithm that mimics the symbiotic interaction between different living organisms in the ecosystem. 34 In recent years, SOS algorithm and some of its variants have been widely applied in solving various power engineering optimization problems, such as economic load dispatch, [35][36][37][38] optimal power flow, 39 congestion management, 40 and optimal DG allocation problem. [41][42][43] Recently, an improved version of SOS, namely, chaotic SOS (CSOS), is proposed by Saha and Mukherjee.…”

Section: Introductionmentioning

confidence: 99%

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A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

Saha

Mukherjee

2019

Int Trans Electr Energ Syst

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Summary This article presents a new method to decide the optimal locations and sizes of distributed generators (DGs) in radial distribution system (RDS). This task is associated with minimization of total voltage deviation and power loss and maximization of voltage stability index of the RDS. To solve this multiobjective DG allocation problem, a novel metaheuristic algorithm, namely, multiobjective chaotic symbiotic organisms search (SOS) (MOCSOS), is proposed in this article. The proposed MOCSOS is an improved version of the traditional SOS, where a chaotic local search technique is incorporated within the traditional SOS framework. The MOCSOS utilizes a fast nondominated sorting strategy to achieve the Pareto solutions. The constraints associated with this DG allocation problem are handled using a binary tournament selection–based approach. The performance of MOCSOS is validated on 33‐ and 69‐node RDSs. The efficacy of the MOCSOS is established by comparing its performance with other nature‐inspired state‐of‐the‐art algorithms.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

Saha

Mukherjee

2019

Int Trans Electr Energ Syst

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“…Since its invention, SOS has been used in several optimization problems in engineering. In Duman and Dosoglu et al, SOS has been applied to solve the optimal power flow and the economic emission load dispatch problems. Moreover, SOS has been successfully applied in the design of linear antenna arrays, in solving the load frequency control problem, in structure optimization problems, in solving unconstrained function optimization, and in the design of an improved 3D turbo code .…”

Section: Introductionmentioning

confidence: 99%

Optimal design of analog active filters using symbiotic organisms search

Dib

El-Asir

2018

Int J Numerical Modelling

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This paper investigates the optimal design of analog active filters using the symbiotic organisms search (SOS) algorithm. Symbiotic organisms search is a newly proposed global optimization method that is inspired by the symbiotic interaction strategies between different organisms in an ecosystem. In SOS, the 3 common types of symbiotic relationships (mutualism, commensalism, and parasitism) are modeled using simple expressions, which are used to find the global minimum of the fitness function. Unlike other methods, SOS is free of tuning parameters, which makes it an attractive optimization method. Here, SOS is used to determine the values of the passive components (resistors and capacitors) used in active filters. Two active filter topologies, fourth‐order Butterworth low‐pass filter and second‐order state variable low‐pass filter, are considered. The components values are chosen from several standard industrial series (E12, E24, and E96). The results obtained using SOS are compared with those obtained using several optimization methods, like particle swarm optimization, seeker optimization algorithm, differential evolution, and other ones. It is shown that the SOS is a robust straightforward evolutionary algorithm that can outperform other well‐known methods.

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“…provide a nonlinear fractional programming approach to solve the environmentaleconomic power dispatch problems in the thermal power dispatch systems [1]. problem for thermal generators in power systems [8]. Hota and Sahu develop a fuzzy based gravitational search algorithm to solve security constrained economic and environmental load disptch problems [9].…”

Section: Introductionmentioning

confidence: 99%

Load Dispatch for a Power System in terms of Economy and Environment by Using VIKOR Method

Akkaş¹,

Arikan²,

Çam³

2017

deufmd

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Load dispatch considering economy and environment is an important issue at power systems. Economic load dispatch aims to generate demanded energy with minimum cost. It dispatches the load among generators by decreasing fuel cost. Otherwise, thermal plants are used commonly in the world to generate energy and they cause to environmental pollution. Energy generation with the most economic cost is good but protection of environment must be considered. Environmental load dispatch aims to generate demanded energy with minimum emission. It is significant for living in good health and clean environment. In this study, economic and environmental load dispatch problems are applied to a power system that consists of six generators to investigate cost and emission. VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method is used for this study. VIKOR is one of the multi-criteria decision-making methods. It gives the most ideal solution for the problem.

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Symbiotic organisms search optimization algorithm for economic/emission dispatch problem in power systems

Cited by 69 publications

References 30 publications

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

Optimal design of analog active filters using symbiotic organisms search

Load Dispatch for a Power System in terms of Economy and Environment by Using VIKOR Method

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