TY  - JOUR
PB  - Elsevier Ltd
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023744728&doi=10.1016%2fj.rser.2017.06.111&partnerID=40&md5=fc7c10b810011db27f98d2203b1c8c43
Y1  - 2018///
A1  - Mahdi, F.P.
A1  - Vasant, P.
A1  - Kallimani, V.
A1  - Watada, J.
A1  - Fai, P.Y.S.
A1  - Abdullah-Al-Wadud, M.
ID  - scholars10959
SN  - 13640321
TI  - A holistic review on optimization strategies for combined economic emission dispatch problem
SP  - 3006
N1  - cited By 98
JF  - Renewable and Sustainable Energy Reviews
VL  - 81
N2  - Power generation system largely depends on fossil fuels to generate electricity. Due to various reasons, the reserves of fossil fuels are declining and will become too expensive in near future. At the same time, generation of power from fossil fuels causes hazardous gases and particulates to emit, which pollutes the air and causes significant and long term damages on the environment. For this reason, extensive research works have been conducted for last few decades from different perspectives to reduce both the fuel cost as well as the emission of hazardous gases in power generation system. This power generation problem is commonly referred to as the combined economic emission dispatch (CEED) problem. This paper provides a comprehensive review on the uses of different optimization techniques to solve CEED problem. Authors have found advanced nature-inspired methods as the most suitable and successful, and have concluded combinational hybrid methods as the most prospective methods to solve CEED problem. © 2017 Elsevier Ltd
AV  - none
EP  - 3020
KW  - Computation theory; Electric load dispatching; Hazards; Problem solving; Proven reserves; Scheduling
KW  -  Combined economic emission dispatch; Economic Dispatch; Emission dispatch; Emission dispatch problem; Fuzzy theory; Generate electricity; Hazardous gas; Literature reviews; Optimization strategy; Power generation systems
KW  -  Fossil fuels
ER  -