The essential objective of optimal power flow is to find a stable operating
point which minimizes the cost of the production generators and its losses,
and keeps the power system acceptable in terms of limits on the active and
reactive powers of the generators. In this paper, we propose the
nature-inspired Cuckoo search algorithm (CSA) to solve economic/emission
dispatch problems with the incorporation of FACTS devices under the
valve-point loading effect (VPE). The proposed method is applied on
different test systems cases to minimize the fuel cost and total emissions
and to see the influence of the integration of FACTS devices. The obtained
results confirm the efficiency and the robustness of the Cuckoo search
algorithm compared to other optimization techniques published recently in
the literature. In addition, the simulation results show the advantages of
the proposed algorithm for optimizing the production fuel cost, total
emissions and total losses in all transmission lines.
Oppositional Teaching and Learning Based Optimization of Economical Load Dispatch Problem with Valve Point Loading Effect
