International Scientific Publications
© 2020 Science Events Ltd
Terms of Use  ·  Privacy Policy
Choose language English French Russian Bulgarian
Conference room
Materials, Methods & Technologies 2020, 22nd International Conference
29 August - 1 September, Burgas, Bulgaria
Call for Papers

Materials, Methods & Technologies, Volume 12, 2018

COMPUTATIONALLY EFFICIENT METHOD FOR MULTI-OBJECTIVE RISK-LIMITING OPTIMAL POWER FLOW PROBLEMS
Shin-Yeu Lin, Yu-Syuan Cheng
Pages: 20-27
Published: 6 Sep 2018
Views: 647
Downloads: 177
Abstract: To balance the non-renewable power generation cost and the risk of violating security constraints in the presence of uncertain renewable power generation, a multi-objective risk-limiting optimal power flow (MORLOPF) problem is presented in this paper. To tackle this problem, a curve fitting based computationally efficient method is proposed. Simulation and comparison results show that the proposed method is computationally much faster than the previously developed golden section method based two-level algorithm, and the obtained results are almost the same.
Keywords: renewable energy, security constraints, optimal non-renewable power generation, multi-objective risk-limiting optimal power flow, golden section metho
Download full text

Back to the contents of the volume
By using this site you agree to our Privacy Policy and Terms of Use. We use cookies, including for analytics, personalisation, and ads.