Computational Technology for Solving Nonconvex Optimal Control Problems for Power Systems
Authors
Alexander Gornov, Tatiana Zarodnyuk
Corresponding Author
Alexander Gornov
Available Online August 2018.
- DOI
- 10.2991/iwci-18.2018.12How to use a DOI?
- Keywords
- optimal control, power system, numerical method, computational technology
- Abstract
The paper proposes a technology for a global extremum search, which makes it possible to estimate the probability of finding a solution in the optimal control problems. The idea of multistart based on proposed technique enables to create the computing technology which is not strongly depend on problem dimension and oriented to finding additional information about investigated object. The paper presents solutions of two nonconvex optimal control problems for power systems.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexander Gornov AU - Tatiana Zarodnyuk PY - 2018/08 DA - 2018/08 TI - Computational Technology for Solving Nonconvex Optimal Control Problems for Power Systems BT - Proceedings of the Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018) PB - Atlantis Press SP - 68 EP - 72 SN - 1951-6851 UR - https://doi.org/10.2991/iwci-18.2018.12 DO - 10.2991/iwci-18.2018.12 ID - Gornov2018/08 ER -