Abstract:
In this paper, the multi-area environmental economic dispatch (MAEED) problem with
reserve constraints is solved by proposing an enhanced particle swarm optimization (EPSO)
method. The objective of MAEED problem is to determine the optimal generating schedule
of thermal units and inter-area power transactions in such a way that total fuel cost and
emission are simultaneously optimized while satisfying tie-line, reserve, and other
operational constraints. The spinning reserve requirements for reserve-sharing provisions are
investigated by considering contingency and pooling spinning reserves. The control equation
of the particle swarm optimization (PSO) is modified by improving the cognitive component
of the particle's velocity using a new concept of a preceding experience. In addition, the
operators of PSO are dynamically controlled to maintain a better balance between cognitive
and social behavior of the swarm. The effectiveness of the proposed EPSO has been
investigated on four areas, 16 generators and four areas, 40 generators test systems. The
application results show that EPSO is very promising to solve the MAEED problem.
