Access the full text.
Sign up today, get DeepDyve free for 14 days.
Amir Vasebi, M. Fesanghary, S. Bathaee (2007)
Combined heat and power economic dispatch by harmony search algorithmInternational Journal of Electrical Power & Energy Systems, 29
Aiying Rong, R. Lahdelma (2007)
Efficient algorithms for combined heat and power production planning under the deregulated electricity marketEur. J. Oper. Res., 176
L. Coelho, D. Bernert, V. Mariani (2011)
A chaotic firefly algorithm applied to reliability-redundancy optimization2011 IEEE Congress of Evolutionary Computation (CEC)
C. Su, C. Chiang (2004)
An incorporated algorithm for combined heat and power economic dispatchElectric Power Systems Research, 69
E. Khorram, M. Jaberipour (2011)
Harmony search algorithm for solving combined heat and power economic dispatch problemsEnergy Conversion and Management, 52
A. Gandomi, Xin-She Yang, A. Alavi (2011)
Mixed variable structural optimization using Firefly AlgorithmComputers & Structures, 89
Lingfeng Wang, C. Singh (2006)
Stochastic combined heat and power dispatch based on multi-objective particle swarm optimization2006 IEEE Power Engineering Society General Meeting
Seyyed Hosseini, A. Jafarnejad, Amirhossein Behrooz, A. Gandomi (2011)
Combined heat and power economic dispatch by mesh adaptive direct search algorithmExpert Syst. Appl., 38
Nidul Sinha, Tulika Bhattacharya (2008)
Genetic Algorithms for non-convex combined heat and power dispatch problemsTENCON 2008 - 2008 IEEE Region 10 Conference
M. Sudhakaran, S. Slochanal (2003)
Integrating genetic algorithms and tabu search for combined heat and power economic dispatchTENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region, 1
M. Horng, Ren-Jean Liou (2011)
Multilevel minimum cross entropy threshold selection based on the firefly algorithmExpert Syst. Appl., 38
N. Sinha, L. Saikia, T. Malakar (2010)
Optimal solution for non-convex combined heat and power dispatch problems using Differential Evolution2010 IEEE International Conference on Computational Intelligence and Computing Research
T. Apostolopoulos, A. Vlachos (2011)
Application of the Firefly Algorithm for Solving the Economic Emissions Load Dispatch ProblemInternational Journal of Combinatorics, 2011
F. Rooijers, R. Amerongen (1994)
Static economic dispatch for co-generation systemsIEEE Transactions on Power Systems, 9
(2011)
A chaotic firefly algorithm applied to reliability-redundancy Fig. 10 Cost obtained in 100 simulation runs of Problem 2, Case 2 by proposed firefly algorithm optimization
J. Senthilnath, S. Omkar, V. Mani (2011)
Clustering using firefly algorithm: Performance studySwarm Evol. Comput., 1
M. Basu (2011)
Bee colony optimization for combined heat and power economic dispatchExpert Syst. Appl., 38
T. Guo, M. Henwood, M. Ooijen (1996)
An algorithm for combined heat and power economic dispatchIEEE Transactions on Power Systems, 11
Y. Song, C. Chou, T. Stonham (1999)
Combined heat and power economic dispatch by improved ant colony search algorithmElectric Power Systems Research, 52
B. Rampriya, K. Mahadevan, S. Kannan (2010)
Unit commitment in deregulated power system using Lagrangian firefly algorithm2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES
M. Horng (2012)
Vector quantization using the firefly algorithm for image compressionExpert Syst. Appl., 39
(2009)
Fire fl y algorithms for multimodal optimization in stochastic algorithms : foundations and applications . SAGA
Xin-She Yang, Seyyed Hosseini, A. Gandomi (2012)
Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effectAppl. Soft Comput., 12
Xin-She Yang (2009)
Firefly Algorithms for Multimodal Optimization
K. Wong, C. Algie (2002)
Evolutionary programming approach for combined heat and power dispatchElectric Power Systems Research, 61
P. Subbaraj, R. Rengaraj, S. Salivahanan (2009)
Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithmApplied Energy, 86
Abstract Cogeneration units, which produce both heat and electric power, are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units, which produce either heat or power exclusively. Hence, the economic dispatch problem for these plants to optimize the fuel cost is quite complex and several classical and meta-heuristic algorithms have been proposed earlier. This paper applies the firefly algorithm, which is inspired by the behavior of fireflies which attract each other based on their luminosity. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over the earlier methods.
"Frontiers in Energy" – Springer Journals
Published: Jun 1, 2013
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.