Open AccessOptimal Energy Scheduling of Renewable Energy Sources in Smart Grid using Cuckoo Optimization Algorithm with Enhanced Local Search
Author(s) -
S. Antonyraj,
G. Giftson Samuel
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/312/1/012014
Subject(s) - cuckoo search , renewable energy , tabu search , computer science , mathematical optimization , smart grid , grid , scheduling (production processes) , algorithm , engineering , mathematics , electrical engineering , particle swarm optimization , geometry
The emerging trend of micro grid enabled technologies with renewable energy sources are used to satisfy the high demand of energy requirement and are preferred over conventional energy sources. However, it has disadvantages like uncertainty in energy on hand with renewable energy sources and unpredictable demand. Optimal scheduling of power generation among the available renewable energy sources is necessary to achieve minimum cost of energy generation with consideration of power loss. In this work, we have used Cuckoo search optimization algorithm with enhanced local search using Tabu search for optimal energy scheduling. This approach is compared with other evolutionary algorithm and existing approaches and results show that our proposed approach performs well.