
Electricity Market Reform Support Through Enhanced Power Transaction Model: In Relation to Optimization in Applied Mathematics
Author(s) -
Entsar M. Kafi,
Azhar Abbas Majeed
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1362/1/012139
Subject(s) - electricity market , environmental economics , database transaction , electricity , electric power system , electric power , electricity generation , computer science , energy conservation , power market , electric power industry , grid , scheduling (production processes) , business , demand response , operations research , power grid , electric energy , power (physics) , economics , operations management , engineering , electrical engineering , mathematics , physics , geometry , quantum mechanics , programming language
Given that the electricity trading market has been specified, some of the growing demands include the establishment of long-term mechanisms, the improvement of electric power emergency mechanisms, and the strengthening of electric power demand side. Therefore, this study proposed a model for optimizing the planning of the monthly power generation. Specifically, the grey model algorithm was examined to discern some of the improvements that could be implemented. With the energy conservation development direction and the market considered, the research setting involved a regional power grid dispatch management system. A key parameter that was examined involved the monthly free energy conservation strategy and how the rate of short-term energy saving establishment could be improved. From the findings, it was evident that the proposed model for optimizing energy-saving power generation establishments poses beneficial effects in terms of power generation scheduling and improved resource allocation, hence meeting the electric power market reform needs.