Normal Boundary Intersection based multi-objective Harmony Search algorithm for environmental Economic Load Dispatch problem

Roy, Nirmolendu; Ghosh, A.; Sanyal, Krishnendu

doi:10.1109/icpes.2016.7584099

Cited by 3 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They optimized both the renewable cost and total production cost functions by combining them to be solved using one single-objective function. Roy et al [7] optimized the total production cost and total emissions simultaneously. In this study, a Normal Boundary Intersection (NBI)-based decomposition scheme was utilized to implement multi-objective optimization.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation

2021

View full text Add to dashboard Cite

Economic Dispatch (ED) problems have been solved using single-objective optimization for so long, as Grid System Operators (GSOs) previously only focused on minimizing the total production cost. In modern power systems, GSOs require not only optimizing the total production cost but also, at the same time, optimizing other important objectives, such as the total emissions of the greenhouse gasses, total system loss and voltage stability. This requires a suitable multi-objective optimization approach in ensuring the ED solution produced is satisfying all the objectives. This paper presents a new multi-objective optimization technique termed Multi-Objective Immune-Commensal-Evolutionary Programming (MOICEP) for minimizing the total production cost and total system loss via integrated Economic Dispatch and Distributed Generation installation (ED-DG). This involved the application of a weighted-sum multi-objective approach that combined with an optimization technique called Immune-Commensal-Evolutionary Programming (ICEP). The proposed MOICEP has been compared with other multi-objective techniques, which are Multi-Objective-Evolutionary Programming (MOEP) and Multi-Objective-Artificial Immune System (MOAIS). It was found that MOICEP performs very well in producing better optimization results for all the three types of Economic Dispatch (ED) problems compared to MOEP and MOAIS in terms of cheap total production costs and low total system loss.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation

2021

View full text Add to dashboard Cite

show abstract

“…This article focuses on the optimization of parameters to achieve the tracking of a trajectory applied to benchmark control problems. The proposed method is based on the original harmony search algorithm, which mimics the process of music improvisation, which has been widely used to solve different problems, as shown in [5][6][7][8][9]. The proposed method is called fuzzy harmony search algorithm (FHS) that performs an adaptation of parameters with Type-1 and interval Type-2 fuzzy logic and it is used to optimize fuzzy tracking controllers so that they follow desired trajectories for benchmark control problems.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm

2017

View full text Add to dashboard Cite

This article focuses on the dynamic parameter adaptation in the harmony search algorithm using Type-1 and interval Type-2 fuzzy logic. In particular, this work focuses on the adaptation of the parameters of the original harmony search algorithm. At present there are several types of algorithms that can solve complex real-world problems with uncertainty management. In this case the proposed method is in charge of optimizing the membership functions of three benchmark control problems (water tank, shower, and mobile robot). The main goal is to find the best parameters for the membership functions in the controller to follow a desired trajectory. Noise experiments are performed to test the efficacy of the method.

show abstract

A Hybrid DE - HS Algorithm with Randomized Parameters

Ülker

2019

Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi

View full text Add to dashboard Cite

The evolutionary algorithms and their hybrid methods are quite efficient and accurate in terms of solution quality of optimization. In this study, a new hybrid algorithm is generated by merging Differential Evolution (DE) and Harmony Search Optimization (HS) algorithms which is called DES. The core steps of the algorithms are used without any modifications, but the main control parameters which directly affect the performance are randomized. The experimental study is done by comparing DE, HS and their hybrid method DES. According to the results, it is found that DES algorithm has improved the performances of original algorithms for the selected test problems.

show abstract

Normal Boundary Intersection based multi-objective Harmony Search algorithm for environmental Economic Load Dispatch problem

Cited by 3 publications

References 19 publications

Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation

Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation

Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm

A Hybrid DE - HS Algorithm with Randomized Parameters

Contact Info

Product

Resources

About