Open AccessOptimal generation scheduling of fixed head hydrothermal system with demand‐side management considering uncertainty and outage of renewable energy sources
Author(s) -
Basu Mousumi
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.7103
Subject(s) - renewable energy , particle swarm optimization , computer science , scheduling (production processes) , grid , mathematical optimization , reliability engineering , engineering , mathematics , electrical engineering , geometry
Due to the rising infiltration of renewable energy sources, it is indispensable to investigate its brunt on the optimal power generation scheduling. However, the highly intermittent nature of renewable energy sources and their higher rate of outages may harm the entire grid. This work recommends fast convergence evolutionary programming (EP) with a time‐varying mutation scale (FCEP_TVMS) for solving fixed head hydrothermal scheduling incorporating pumped‐storage‐hydraulic unit with demand‐side management considering the uncertainty and outage of renewable energy sources. Simulation outcomes of the test system have been matched up to those acquired by fast convergence EP, colonial competitive differential evolution and heterogeneous strategy particle swarm optimisation. It is seen from the comparison that the recommended FCEP_TVMS technique can give a better‐quality solution.