Open AccessOptimal EDC bill-mix through parameters tuning in an optimization model
Publication year - 2022
Publication title -
international journal of mathematics and statistics studies
Language(s) - English
Resource type - Journals
eISSN - 2053-2229
pISSN - 2053-2210
DOI - 10.37745/ijmss.13/vol10no1pp.20-30
Subject(s) - solver , computer science , minification , software , mathematical optimization , constraint (computer aided design) , field (mathematics) , linear programming , electricity , operations research , engineering , algorithm , mathematics , electrical engineering , mechanical engineering , pure mathematics , programming language
There has been the problem of inappropriate billing of customers by Electricity Distribution Companies (EDCs) in Nigeria. We considered an explicit minimization constrained optimization model where the objective and constraint functions are all linear, for a scenario involving bills (EDCs) generate for their customers. Our model optimizes the bills for different household types. To get a bill-mix that is optimal in the view of customers, model parameters are tuned to fit in with field data collected by the companies. The model was implemented using the computer software, Solver, and the results are presented.