Enhancement Of Optimal Dispatch Bylatest Technological Advancements In Modern Power Systems
Journal: International Journal of Scientific & Technology Research (Vol.2, No. 7)Publication Date: 2013-07-25
Authors : Tawfiq Masad Aljohani;
Page : 7-16
Keywords : Keywords Optimal dispatch; Distributed generation; nonlinear optimization; constrained parameter optimization; co-generation power; wind power; economic dispatch; thermal power plant optimization.;
Abstract
Abstract One of the fundamental issues in power systems operation is the need to achievea balance between the most economical mean of operation and the highest level of reliability. Great achievement have been realized so far on the economic dispatch in conventional power but the fast development of smart grid applications distributed generations renewable energy and the enhancement of co-generation power plants have brought new challenges in the field to run the system more economically with options to reduce the effect on the environment as well. This paper discusses the recently proposed optimization control schemes in power systems after it provides discussion on the optimal dispatch in general. Also the paper analyzes the new approaches in power system generation that could reduce the total cost of both generation and operation of the power in the system. Co-generation principles will be presented to evaluate potential contribution to the optimal dispatch. In addition the paper goes through the principles of the distributed generation and the latest research on this field to examine the effect of defining better locations to install the distributed generatorsto reach the desired economic dispatch.Finally a discussion follows to assess the ability of wind energy the most developed source of renewables in making critical decisions in reducing the total power generation. The paper concludes with a conclusion evaluating the use of the mentioned resources as an alternative way for a better more reliable and economic power system.
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Last modified: 2013-08-10 23:37:35