Evolutionary programming based economic power dispatch solutions with independent power producers
Narayana Prasad Padhy, Lakshmi Lakshmi Kumari
Abstract
Narayana Prasad Padhy, Lakshmi Lakshmi Kumari
Abstract
In this paper, economic dispatch solutions using evolutionary programming has been presented with the presence of independent power producers (IPPs). The performance of the proposed algorithm has been tested for synthetic IEEE-30 bus system having both smooth and non-smooth generator cost characteristics with both bilateral and multilateral transactions. It has also been observed that the proposed algorithm can be applied to larger systems and do not suffer with mathematical complexity.
OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper, economic dispatch solutions using evolutionary programming has been presented with the presence of independent power producers (IPPs). The performance of the proposed algorithm has been tested for synthetic IEEE-30 bus system having both smooth and non-smooth generator cost characteristics with both bilateral and multilateral transactions. It has also been observed that the proposed algorithm can be applied to larger systems and do not suffer with mathematical complexity.
Key concepts: Economic dispatch, Evolutionary programming, Computer science, Mathematical optimization, Electric power system, Generator (circuit theory), Evolutionary algorithm, Power (physics)