Owing to increasing penetration of renewable energy sources, it is
mandatory to investigate it’s effect on the combined heat and power
dynamic economic dispatch. At the same time , adverse effect is there
due to highly intermittent nature and higher rate of outages of these
sources . This piece of work proposes squirrel search algorithm (SSA)
for solving combined heat and power dynamic economic dispatch (CHPDED)
incorporating pumped-storage-hydraulic unit captivating uncertainty and
outage of renewable energy sources. A lately developed swarm
intelligence algorithm SSA, emulates from the dynamic scavenging
behavior of squirrel. The competence of the recommended technique is
examined on a test system. Simulation outcomes of the proposed technique
is harmonized with those acquired by particle swarm optimization (PSO)
and grey wolf optimization (GWO). After comparison, a conclusion was
made presenting SSA technique conferring with good-quality solution than
other techniques.
Hybrid DE-SQP Method for Solving Combined Heat and Power Dynamic Economic Dispatch Problem
