A Comparative Study of Improved Teaching Learning Based Optimization Technique on Economic Load Dispatch Problem with Generator Constraints
| Autor: | Deblina Maity, Sumit Banerjee, Chandan Kumar Chanda |
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| Rok vydání: | 2016 |
| Předmět: |
Rate limiting
Engineering Mathematical optimization business.industry 020209 energy Evolutionary algorithm Economic dispatch Thermal power station 02 engineering and technology Electricity generation Transmission (telecommunications) 0202 electrical engineering electronic engineering information engineering Point (geometry) business Generator (mathematics) |
| Zdroj: | International Journal of Energy Optimization and Engineering. 5:1-25 |
| ISSN: | 2160-9543 2160-9500 |
| DOI: | 10.4018/ijeoe.2016100101 |
| Popis: | This article presents a novel improved teaching learning based optimization (I-TLBO) technique to solve economic load dispatch (ELD) problem of the thermal plant without considering transmission losses. The proposed methodology can take care of ELD problems considering practical nonlinearities such as ramp rate limit, prohibited operating zone and valve point loading. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints. I-TLBO is a recently developed evolutionary algorithm based on two basic concepts of education namely teaching phase and learning phase. The effectiveness of the proposed algorithm has been verified on test system with equality and inequality constraints. Compared with the other existing techniques demonstrates the superiority of the proposed algorithm. |
| Databáze: | OpenAIRE |
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