Non-convex economic dispatch with heuristic load patterns, valve point loading effect, prohibited operating zones, ramp-rate limits and spinning reserve constraints using harmony search algorithm

2012 ◽  
Vol 95 (1) ◽  
pp. 53-61 ◽  
Author(s):  
R. Arul ◽  
G. Ravi ◽  
S. Velusami
Keyword(s):  
Search Algorithm ◽  
Economic Dispatch ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Ramp Rate ◽  
Spinning Reserve ◽  
Loading Effect ◽  
Prohibited Operating Zones ◽  
Valve Point Loading Effect ◽  
Ramp Rate Limits

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 Economic Dispatch Solution Using Moth-Flame Optimization Algorithm

2018 ◽  
Vol 214 ◽  
pp. 03007 ◽  
Author(s):  
Mohd Herwan Sulaiman ◽  
Zuriani Mustaffa ◽  
Muhammad Ikram Mohd Rashid ◽  
Hamdan Daniyal
Keyword(s):  
Optimization Technique ◽  
Economic Dispatch ◽  
Minimum Cost ◽  
Ramp Rate ◽  
Total Cost ◽  
Prohibited Operating Zones ◽  
Operating Limits ◽  
Moth Flame Optimization Algorithm ◽  
Ramp Rate Limits ◽  
Practical Constraints

This paper proposes an application of a recent nature inspired optimization technique namely Moth-Flame Optimization (MFO) algorithm in solving the Economic Dispatch (ED) problem. In this paper, the practical constraints will be included in determining the minimum cost of power generation such as ramp rate limits, prohibited operating zones and generators operating limits. To show the effectiveness of proposed algorithm, two case systems are used: 6-units and 15-units systems and then the performance of MFO is compared with other techniques from literature. The results show that MFO is able to obtain less total cost than those other algorithms.

scholarly journals Solving non-convex economic dispatch with prohibited zones using artificial fish swarm optimization

2018 ◽  
Vol 7 (2.18) ◽  
pp. 1
Author(s):  
Jun Seog Ko ◽  
Surender Reddy Salkuti ◽  
Chan Mook Jung
Keyword(s):  
Power Plants ◽  
Search Algorithm ◽  
Thermal Power ◽  
Economic Dispatch ◽  
Ramp Rate ◽  
Swarm Optimization ◽  
Prohibited Operating Zones ◽  
Novel Approach ◽  
Artificial Fish Swarm ◽  
Practical Constraints

In this paper, a novel approach is proposed to solve the non-convex and discontinuous economic dispatch (ED) problem of power system with thermal power plants. All the practical constraints (loss constraint, generators ramp rate constraints and network constraints) are considered for solving the ED problem. Here, the proposed ED problem is solved by considering the generators with valve point loading (VPL) effects and prohibited operating zones (POZs) effects. In this paper, to solve this practical ED problem, an evolutionary based Artificial Fish Swarm Optimization Algorithm (AFSOA) is utilized. The AFSOA is a global search algorithm based on the characteristics of fish swarm and its autonomous model. The detailed algorithm with its flow chart is presented in this paper. To show the effectiveness of the proposed ED approach, 3 test systems (3, 6 and 20 generating unit systems) are considered. The obtained results are compared with other algorithms reported in the 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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