학술논문

An Algorithm for Load Planning of Renewable Powered Machinery with Variable Operation Time
Document Type
Conference
Source
2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA) Environment-Friendly Energies and Applications (EFEA), 2021 6th International Symposium on. :1-5 Mar, 2021
Subject
Bioengineering
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Renewable energy sources
Software algorithms
Production
Software
Planning
Power systems
Software measurement
HRES
hybrid renewable energy systems
load planning
energy efficient production
MOHRES
Language
ISSN
2688-2558
Abstract
This paper presents a multi-objective load planning algorithm for industrial applications with integrated hybrid renewable energy systems (HRES). The focus of the paper is on the planning of loads with time-dependent duration. In some cases, the duration of the machinery operation depends on the external parameters and can vary depending on what time of the day they are operating. The presented algorithm, implemented in the software MOHRES, is based on the multi-criteria assessment of the system against several performance measures. Through a case study, the performance of the algorithm is evaluated. It is shown how the algorithm can successfully find Pareto solutions with minimal production cost and optimal HRES performance measures.