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Study on multi‐objective optimization of load dispatch including renewable energy and CCS technologies
Author(s) -
Yongping Yang,
Rongrong Zhai,
Liqiang Duan,
Masek Ondrej,
Oakey John
Publication year - 2009
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.1590
Subject(s) - renewable energy , mathematical optimization , economic dispatch , constraint (computer aided design) , wind power , energy storage , electric power system , computer science , power system simulation , optimization problem , power (physics) , engineering , electrical engineering , mathematics , mechanical engineering , physics , quantum mechanics
This paper mainly studies the multi‐objective optimization of load dispatch of power systems including renewable energy and CO 2 capture and storage (CCS) technologies. The improved environmental/economic load dispatch model for the power system is constructed, considering the renewable energy utilization and CCS technologies. A novel singular weighted method (SWM) has been proposed in this paper for solving this kind of multi‐objective and multi‐constraint optimization problem. A power system with five generators has been applied in one case study to test the model and SWM. It was concluded that the share that each unit takes is not linear; however, the optimal results are largely relevant to the characteristics of the units. In addition, the research results showed that with the increment of the weight coefficient for a certain objective function, the optimization result was closer to the single optimization result for that objective function; and with the increase of forecast demand load, a 35 MW wind energy unit and a 200 MW water energy unit should be built. Copyright © 2009 John Wiley & Sons, Ltd.