The purpose of the combined economic emission dispatch of generation in an electric power is to offer the finest schedule for the generating units which must run with both lesser fuel cost and emission levels concurrently thereby fulfilling the system equality and inequality constraints. This paper presents an interior search algorithm (ISA) for solving multi-objective combined economic emission dispatch (CEED) problems. Simulation results obtained substantiate the efficiency of ISA algorithm in solving the CEED problems. The effectiveness of the proposed ISA is investigated on five various test systems which comprise three-unit system, IEEE 30-bus system, 10-unit system, 20-unit system, and Taiwan 40-unit generating system. Simulation results and their comparison with other meta-heuristic optimization techniques reveal that the proposed ISA is proficient in solving CEED problem of fossil fuel generators. © 2018 John Wiley &amp; Sons, Ltd.

Arul R

Electrical

School of Electrical Engineering

Chennai Campus

Nagarajan Karthik

Ayalur Krishnamoorthy Parvathy

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Transactions on Electrical Energy Systems

The main goal behind the combined economic emission dispatch (CEED) is to reduce the costs incurred upon fuel and emission for the generating units available without any intention to violate the generator and security constraints. Hence, the CEED must be handled after considering two challenging goals such as the costs involved with emission and fuel. In this paper, chaotic self-adaptive interior search algorithm (CSAISA) was proposed to solve the CEED problems, considering the nonlinear behavior of generators in terms of valve point effects, prohibited operating zones, and security constraints. The proposed algorithm was tested for its effectiveness using 11-generating units (without security), IEEE-30 bus system, and IEEE-118 bus system with security constraints. The results of the proposed CSAISA were compared with interior search algorithm (ISA), harmony search algorithm (HSA), differential evolution (DE), particle swarm optimization (PSO), and genetic algorithm (GA). To conclude, the proposed CSAISA outperformed all other algorithms in terms of convergence speed, implementation time, and solution quality, which was tested using performance metrics. © 2019 John Wiley &amp; Sons, Ltd.

Chaotic self‐adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints

This paper presents Interior search algorithm for solving economic load dispatch problem of a microgrid. ISA is a aesthetic seeking algorithm which is inspired from the interior design and decoration. The efficacy of ISA has been validated on a simple microgrid test system which comprises wind generators, fuel cells, diesel generators. Simulation results reveal that ISA appears to be a robust unconventional technique for elucidating the ELD problems in microgrid when compared with the other optimization techniques taking into consideration the superiority of the solution attained. © 2019 IEEE.

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Journal	Data powered by TypesetInternational Transactions on Electrical Energy Systems
Publisher	Data powered by TypesetWiley
ISSN	2050-7038
Open Access	0