Solution of Economic and Environmental Dispatch with Valve Point Effect Using Moth Swarm Algorithm

被引：0

作者：

Hussien, Abdel-rahem ^{[1
]}

Kamel, Salah ^{[2
]}

Ebeed, Mohamed ^{[3
]}

机构：

[1] Minist Housing, New Urban Communities Author, Cairo, Egypt

[2] Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, Egypt

[3] Sohag Univ, Fac Engn, Dept Elect Engn, Sohag, Egypt

来源：

2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON) | 2017年

关键词：

Moth Swarm algorithm optimization; Combined Economic and Environmental dispatch; Valve Point Effect; DIFFERENTIAL EVOLUTION; CULTURAL ALGORITHM; LOAD DISPATCH; OPTIMIZATION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a new bio inspired optimization technique called Moth Swarm Algorithm (MSA) is developed to find the optimal solution for Combined Economic and Environmental dispatch (CEED) problems. Its aim to minimize both the operating fuel cost and emission levels simultaneously while satisfying load demand and operational constraints. The CEED problem is formulated as multi-objective function by considering the fuel cost and environmental pollutant impact with satisfying load demand and operational constraints. The developed algorithm is carried on two different test cases having valve point effect. The simulated result is compared with those obtained by other algorithms in the literature to confirm its effectiveness. Results show that the MSA gives best fuel cost and minimum emission than the other reported algorithms.

引用

页码：941 / 946

页数：6

共 20 条

[1] Combined economic and emission dispatch solution using Flower Pollination Algorithm [J].

Abdelaziz, A. Y. ;

Ali, E. S. ;

Abd Elazim, S. M. .

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 80 :264-274

[2] Environmental/economic power dispatch using multiobjective evolutionary algorithms [J].

Abido, MA .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (04) :1529-1537

[3] A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems [J].

Alsumait, J. S. ;

Sykulski, J. K. ;

Al-Othman, A. K. .

APPLIED ENERGY, 2010, 87 (05) :1773-1781

[4] The Modeling of Coal-related CO2 Emissions and Projections into Future Planning [J].

Aydin, G. .

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2014, 36 (02) :191-201

[5] Economic environmental dispatch using multi-objective differential evolution [J].

Basu, M. .

APPLIED SOFT COMPUTING, 2011, 11 (02) :2845-2853

[6] Hybrid Differential Evolution With Biogeography-Based Optimization for Solution of Economic Load Dispatch [J].

Bhattacharya, Aniruddha ;

Chattopadhyay, Pranab Kumar .

IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (04) :1955-1964

[7]

Chen C., 2006, IEEE PES TRANSM DIST

[8] Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems [J].

Coelho, Leandro dos Santos ;

Thom Souza, Rodrigo Clemente ;

Mariani, Viviana Cocco .

MATHEMATICS AND COMPUTERS IN SIMULATION, 2009, 79 (10) :3136-3147

[9] Combined economic and emission dispatch solution using gravitational search algorithm [J].

Guvenc, U. ;

Sonmez, Y. ;

Duman, S. ;

Yorukeren, N. .

SCIENTIA IRANICA, 2012, 19 (06) :1754-1762

[10]

Hardiansyah, 2013, International Journal of Intelligent Systems and Applications, V5, P32, DOI 10.5815/ijisa.2013.07.05

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