NDLI: Research on optimization for the open multi-sources oil-field power net output

Content Provider	IEEE Xplore Digital Library
Author	Bi Hong-bo Gao Bing-kun Zhang Yu-bo
Copyright Year	2009
Description	Author affiliation: Faculty of Electric and Information Engineering, Daqing Petroleum Institute 163318, China (Bi Hong-bo; Gao Bing-kun; Zhang Yu-bo)
Abstract	The oil-field power system and provincial power system belong to the different power system, which purchases the maximal economic benefit respectively. Therefore, under the security restraint, how to cooperate each source output to meet the need of economic operation of the oil-field power system adaptively becomes a very important problem. The mathematical model of oil-field power system output optimization is set up under the market condition, which takes the minimal power cost as the objective function, whose constraints include power supply balance, power station output, line security. At the same time, considering the influence on the actual power price of the net losses generated by the difference of the geographical different sources the modified power price is introduced. Furthermore, the improved genetic algorithm using the chaotic searching method is proposed and applied to the optimization for the oil-field power system. Results show that the improved algorithm can reduce the power costs of the oil-field power system.
Starting Page	1958
Ending Page	1961
File Size	314909
Page Count	4
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5191631
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power supplies Power system economics Power generation economics Genetic Algorithm Power system security Power system modeling Optimization Constraint optimization Output Power Net Cost function Power systems Mathematical model Power generation
Content Type	Text
Resource Type	Article

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