CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Optimal scheduling of large-scale wind-hydro-thermal systems with fixed-head short-term model
Authors
Le Chi Kien
Fazel Mohammadi
Thang Trung Nguyen
Ly Huu Pham
Publication date
1 April 2020
Publisher
Scholarship at UWindsor
Doi
Cite
Abstract
© 2020 by the authors. In this paper, a Modified Adaptive Selection Cuckoo Search Algorithm (MASCSA) is proposed for solving the Optimal Scheduling of Wind-Hydro-Thermal (OSWHT) systems problem. The main objective of the problem is to minimize the total fuel cost for generating the electricity of thermal power plants, where energy from hydropower plants and wind turbines is exploited absolutely. The fixed-head short-term model is taken into account, by supposing that the water head is constant during the operation time, while reservoir volume and water balance are constrained over the scheduled time period. The proposed MASCSA is compared to other implemented cuckoo search algorithms, such as the conventional Cuckoo Search Algorithm (CSA) and Snap-Drift Cuckoo Search Algorithm (SDCSA). Two large systems are used as study cases to test the real improvement of the proposed MASCSA over CSA and SDCSA. Among the two test systems, the wind-hydro-thermal system is a more complicated one, with two wind farms and four thermal power plants considering valve effects, and four hydropower plants scheduled in twenty-four one-hour intervals. The proposed MASCSA is more effective than CSA and SDCSA, since it can reach a higher success rate, better optimal solutions, and a faster convergence. The obtained results show that the proposed MASCSA is a very effective method for the hydrothermal system and wind-hydro-thermal systems
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Multidisciplinary Digital Publishing Institute
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:mdpi.com:/2076-3417/10/8/2...
Last time updated on 20/10/2022
Scholarship at UWindsor
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:scholar.uwindsor.ca:electr...
Last time updated on 18/03/2021