TELKOMNIKA Telecommunication, Computing, Electronics and Control
Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

Ancillary services
Benefit function
Cost minimization
Evolutionary algorithms
Social welfare maximization

In this paper an optimal energy and reactive power dispatch problem is solved
by using the ant lion optimization (ALO) algorithm by considering the total
cost minimization and social welfare maximization (SWM) objectives. Two
different market models are proposed in this work, i.e.,
conventional/sequential market clearing and the proposed/simultaneous
market clearing. In each market model, two objectives, i.e., total cost
minimization and SWM are considered. The conventional social welfare (SW)
consists the benefit function of consumers and the cost function of active
power generation. In this paper, the conventional SW is modified by including
the reactive power cost function. The reactive power cost calculation is exactly
same as that in the conventional practice. The most important difference is that
instead of doing cost calculation in post-facto manner as in conventional
practice, simultaneous approach is proposed in this work. The scientificity and
suitability of the proposed simultaneous active and reactive power
methodology has been examined on standard IEEE 30 bus test system.

Surender Reddy Salkuti, P. Sravanthi, Seong-Cheol Kim

http://journal.uad.ac.id/index.php/TELKOMNIKA

Apr 20, 2021

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