%0 Journal Article
%T Optimal Design of Photovoltaic¨CBattery Systems Using Interval Type-2 Fuzzy Adaptive Genetic Algorithm
%A Penangsang Ontoseno
%A Muhammad Abdillah
%A Rony Seto Wibowo
%A Adi Soeprijanto
%J Engineering
%P 50-55
%@ 1947-394X
%D 2013
%I Scientific Research Publishing
%R 10.4236/eng.2013.51B009
%X  
<p>
	<span><span>Many countries</span></span><span><span> </span><span>have been</span></span><span> </span><span><span>triggered</span><span> to</span></span><span> </span><span><span>provide</span></span><span> </span><span><span>a new</span></span><span> <span>energy policy</span> </span><span><span>which</span><span> promotes</span></span><span> <span>renewable energy applications</span> <span>because</span> <span>of public awareness to</span> <span>reduce</span> </span><span>the </span><span><span>global</span></span><span> <span>warming</span> <span>and </span></span><span><span>rising </span><span>in </span></span><span><span>fuel prices. </span><span>Renewable energy sources</span></span><span> <span>such as</span> <span>solar</span> </span><span>energy <span>are</span></span><span> </span><span>green </span><span><span>and </span></span><span><span>promising energy</span><span> </span></span><span><span>in the future </span><span>for</span></span><span> <span>widespread use.</span> </span><span><span>Combining </span><span>renewable</span></span><span> <span>energy</span> <span>sources</span> <span>with battery </span></span><span><span>makes</span><span> </span></span><span><span>electricity supply </span><span>more economical</span></span><span> <span>and</span> <span>reliable</span> </span><span>to meet all possible load level</span><span>. <span>This paper</span> <span>propos</span>ed <span>a</span> <span>new hybrid</span> <span>method</span> </span><span>to </span><span><span>optimiz</span></span><span><span>e </span><span>Photovoltaic</span></span><span> <span>(</span>PV)</span><span>-</span><span><span>Battery</span></span><span><span> systems</span></span><span>. <span>The </span></span><span><span>proposed </span><span>method was </span></span><span><span>name</span><span>d</span></span><span> <span>Interval</span> </span><span><span>t</span><span>ype</span></span><span>-2 </span><span><span>f</span><span>uzzy</span></span><span> <span>adaptive</span> </span><span><span>g</span><span>enetic </span></span><span><span>a</span><span>lgorithm</span></span><span> <span>(</span>IT2FAGA). <span>Genetic</span> </span><span><span>a</span><span>lgorithm (</span></span><span>GA) <span>is one of</span> <span>modern</span> <span>optimization</span> <span>techniques</span> <span>that has been</span> <span>successfully applied in</span> <span>various areas of</span> <span>power systems</span>. </span><span>To enhance the ability of GA</span><span><span> to</span></span><span> </span><span>prevent trapping in<span>&nbsp; </span>local optima and
%K Photovoltaic (PV)
%K Battery
%K GA
%K IT2FL
%K IT2FAGA
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=26603