A Proposed Lean Distribution System for Solar Power Plants Using Mathematical Modeling and Simulation Technique
Mohsen Momenitabar, Zhila Dehdari Ebrahimi, Seyed Hassan Hosseini,, Mohammad Arani

TL;DR
This paper introduces a lean distribution system for solar power plants using mathematical modeling and simulation to reduce costs and energy waste in electricity transmission.
Contribution
It combines mathematical modeling with simulation techniques to optimize solar power distribution systems, providing a novel approach for cost reduction and waste minimization.
Findings
Significant decrease in energy demand costs.
Effective reduction of energy waste during transmission.
Validation of models through MATLAB's CPLEX toolbox.
Abstract
Today, power waste is one of the most crucial problems which power stations across the world are facing. One of the recent trends of the energy system is the lean management technique. When lean management is indicated by the system, customer value is increased and the waste process in industry or in a power station is reduced. In this paper, first of all, we propose mathematical modeling to reduce the cost of production, and then the simulation technique applies to electricity transmission distribution systems. Furthermore, we consider two criteria for comparison including the different costs of the system and the rate of energy waste during the transmission. The primary approach is to use both of the models in order to draw a comparison between simulation results and mathematical models. Finally, the analysis of the test results done by the CPLEX toolbox of MATLAB Software 2019 leads…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnvironmental and Industrial Safety · Solar Energy Systems and Technologies · Photovoltaic Systems and Sustainability
