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Multi-objective economic operation of modern power system considering weather variability using adaptive cuckoo search algorithm

Published Online: 2020-07-01

Published Print: 2020-12

Authors

Kavuturu, K. V. Kumar

Narasimham, P. V. R. L.
License Information

Text and Data Mining valid from 2020-07-01

Version of Record valid from 2020-07-01
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Article History

Received: 26 January 2020

Accepted: 17 June 2020

First Online: 1 July 2020

Competing interests

: (1) Optimal location optimal unified power flow controller (OUPFC) is proposed based on voltage collapse point indicator. (2) Dynamic switching parameter is proposed to the basic cuckoo search algorithm (CSA) for solving the complex and multi-objective optimization problem. (3) Simulations are analyzed for different weather conditions and load growth scenarios, and each scenario is repeated for two case studies (a) without considering PV systems and OUPFC in the network and (b) considering PV systems and OUPFC in the network. (4) The effectiveness of the proposed adaptive CSA approach for solving the OPF problem including OUPFC is illustrated using standard IEEE 14, 30 and 118-bus systems and compared with basic CSA, PSO, CSO and FPA.

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