Johnathon, Chris and Agalgaonkar, Ashish and Kennedy, Joel 
ORCID: https://orcid.org/0000-0002-6489-0845 and Afandi, Izzah
(2020)
Optimal power flow with conventional and non-conventional generating resources in modern grids considering environmental impacts.
In: 29th Australasian Universities Power Engineering Conference (AUPEC 2019), 26 Nov - 29 Nov 2019, Nadi, Fiji.
Abstract
Optimal Power Flow (OPF) is a non-convex and highly constrained optimisation study which is used to find the most economical power export allocation from different generating resources. Policies to produce green electricity have led to the integration of non-conventional generating resources into the networks. However, non-conventional generators, like solar and wind, have intermittent power export due to their stochastic nature. This paper presents an OPF approach for modern grids integrated with conventional and non-conventional generating resources considering environmental impacts. Different loading and generation scenarios are considered for solving the probabilistic OPF using MATPOWER for an IEEE 30-bus transmission network. The results highlight the most economical mix of different generators thereby reducing the overall operational cost of the system.
|
Statistics for this ePrint Item |
| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | No Faculty |
| Faculty/School / Institute/Centre: | No Faculty |
| Date Deposited: | 20 Apr 2022 01:01 |
| Last Modified: | 30 May 2022 03:04 |
| Uncontrolled Keywords: | Optimal power flow; Monte Carlo simulation; stochastic generation; renewables; transmission systems; emission costs |
| Fields of Research (2020): | 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems |
| Identification Number or DOI: | https://doi.org/10.1109/AUPEC48547.2019.243753 |
| URI: | http://eprints.usq.edu.au/id/eprint/44788 |
Actions (login required)
 |
Archive Repository Staff Only |