What is it about?
In this paper, a real parameter meta heuristic optimization algorithm (named as chaotic krill herd algorithm (KHA) (CKHA)) is analyzed to solve optimal power flow (OPF) based DC link placement problem. The present study appears to be well capable for replacement of the existing transmission lines by direct current (DC) links to have more secure, flexible and economical operation. DC link equations are incorporated into the conventional OPF problem for the solution of this type of problem. The IEEE 30-bus and IEEE 57-bus test power systems are used to demonstrate the performance of the proposed CKHA. The simulation results obtained from both KHA and CKHA techniques are compared to other recent evolutionary optimization techniques surfaced in the recent state-of-the-art literature. It is revealed that the proposed approach secures better consequence over the other newly originated popular optimization techniques (including basic KHA) and reflects its improved quality solutions and faster convergence speed.
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Why is it important?
Management of OPF study becomes a vital aspect of the stable and secure operation of power system. In this work, the chaos concept based KHA strategy is proposed for the OPFDCL problem of power system. The proposed algorithm is tested on two different test power systems like IEEE 30-bus and IEEE 57-bus test systems. Simulation results, as yielded by the proposed CKHA, are compared to other widespread algorithms discussed in the recent works of literature. Basic KHA based results are also studied and included in the present work.
Perspectives
From the experimented test results, it may be confirmed that, with the presence of the chaotic variables in the basic KHA method, considerable improvements(in terms of faster convergence profile, better efficiency, flexibility, a capability of avoidance from local optima, good stability)are noted for OPFDCL problem of the power system. On the other side, only two key parameters (viz. and ) are needed to be adjusted that may be considered as another main advantage of the proposed method. The proposed method may also be applied to solve some other practical engineering problems such as scheduling, path planning, constrained optimization problems, PID control etc. Moreover, the performance of the CKHA may be tested by using other optimization strategies like opposition-based learning, quantum theory, tabu search, etc. Thus, it may be concluded that CKHA is a very much promising and encouraging technique for the future research work that has the capability of producing the best global solution.
Dharmbir Prasad
Asansol Engineering College
Read the Original
This page is a summary of: Application of chaotic krill herd algorithm for optimal power flow with direct current link placement problem, Chaos Solitons & Fractals, October 2017, Elsevier,
DOI: 10.1016/j.chaos.2017.05.037.
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