scholarly journals A Modified Harmony Search Algorithm for the Economic Dispatch Problem

2014 ◽  
Vol 23 (2) ◽  
Author(s):  
Dinu Călin SECUI ◽  
Simona DZIŢAC ◽  
Gabriel BENDEA ◽  
Codruţa BENDEA ◽  
Cristina HORA
Keyword(s):  
Search Algorithm ◽  
Economic Dispatch ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Economic Dispatch Problem

Hybrid Differential Evolution Harmony Search Algorithm for Power Economic Dispatch Problems

2013 ◽  
Vol 415 ◽  
pp. 345-348
Author(s):  
Hong Gang Xia ◽  
Qing Zhou Wang
Keyword(s):  
Differential Evolution ◽  
Recent Literature ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
System Experiment ◽  
Mutagenic Factor ◽  
Key Parameter ◽  
Power Economic

In this paper, a hybrid differential evolution harmony search (HDEHS) algorithm was presented for solving power economic dispatch problems. In this algorithm, mutation and crossover operation instead of harmony memory consideration and pitch adjustment operation, this improved the algorithm convergence rate. Moreover, dynamically adjust the key parameter (e.g. mutagenic factor F, crossover rate CR) to balance the local and global search. Based on a 13 units power system experiment simulations, the HDEHS has demonstrated stronger convergence and stability than original harmony search (HS) algorithm and its three improved algorithms (IHS, GHS and NGHS) that reported in recent literature.

scholarly journals Penerapan Harmony Search Algorithm untuk Menyelesaikan Economic Dispatch dengan Memperhitungkan Rugi-Rugi Transmisi

2021 ◽  
Vol 7 (3) ◽  
pp. 415
Author(s):  
Purwoharjono Purwoharjono
Keyword(s):  
Artificial Intelligence ◽  
Quadratic Programming ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Harmony Search ◽  
Harmony Search Algorithm

Penelitian ini bertujuan untuk menyelesaikan masalah Economic Dispatch (EC) menggunakan metode Artificial Intelligence (AI). Salah satu metode AI tersebut adalah Metode Harmony Search Algorithm (HSA). HSA ini merupakan suatu metode yang terinspirasi dari nada-nada musik yang di dengar. Simulasi HSA ini akan di implementasikan pada  sistem 6 unit generator 425 MW yang ada di IEEE. Hasil simulasi menggunakan metode HSA dan metode Quadratic Programming (QP) dengan rugi-rugi transmisi adalah hasil metode HAS memperoleh biaya bahan bakar sebesar 24057,9070 $/h dan rugi-rugi transmisi sebesar 7,1246 MW. Sedangkan menggunakan metode QP memperoleh biaya bahan bakar sebesar 24059,4257 $/h dan rugi-rugi transmisi    7,1626 MW. Simulasi menggunakan metode HSA memperoleh biaya bahan bakar dan rugi rugi transmisi yang lebih kecil di bandingkan dengan menggunakan metode QP.

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