<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>Science and Education Publishing</PublisherName>
<JournalTitle>American Journal of Electrical and Electronic Engineering</JournalTitle>
<Issn>2328-7357</Issn>
<Volume>5</Volume>
<Issue>1</Issue>
<PubDate PubStatus="epublish">
<Year>2017</Year>
<Month>2</Month>
<Day>7</Day>
</PubDate>
</Journal>
<ArticleTitle>Scheduling a Wind Hydro-Pumped-Storage Unit Considering the Economical Optimization</ArticleTitle>
<FirstPage>16</FirstPage>
<LastPage>22</LastPage>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Milad Ghaisi</FirstName>
<LastName>Rad</LastName>
</Author>
<Author>
<FirstName>Milad</FirstName>
<LastName>Rahmani</LastName>
</Author>
<Author>
<FirstName>Pedram</FirstName>
<LastName>Gharghabi</LastName>
<Affiliation>Department of Computer and Electrical Engineering, Mississippi State University, Starkville, United States</Affiliation>
</Author>
<Author>
<FirstName>Ali</FirstName>
<LastName>Zoghi</LastName>
</Author>
<Author>
<FirstName>Seyed Hossein</FirstName>
<LastName>Hosseinian</LastName>
</Author>

</AuthorList>
<ArticleIdList>
<ArticleId IdType="pii">AJEEE2017513</ArticleId>
<ArticleId IdType="doi">10.12691/ajeee-5-1-3</ArticleId>
</ArticleIdList>
<History>
<PubDate PubStatus="received">
<Year>2016</Year>
<Month>8</Month>
<Day>22</Day>
</PubDate>
<PubDate PubStatus="revised">
<Year>2016</Year>
<Month>12</Month>
<Day>26</Day>
</PubDate>
<PubDate PubStatus="accepted">
<Year>2017</Year>
<Month>2</Month>
<Day>5</Day>
</PubDate>
</History>
<Abstract>In this paper a new approach has been introduced to find the optimum capacity of a wind farm to cooperate with a hydro-pumped-storage in order to maximize the income and optimize the payback period of their combination. First, Monte Carlo method has been used to generate the annual price and wind speed values. Then, an operating policy has been considered to schedule each unit generating and saving the produced energy by the wind farm. Subsequently, simulations have been carried out in MATLAB M-File environment to show the effectiveness of the presented method. Finally, results are presented in various circumstances to help the owner to select the optimum condition for constructing a wind hydro-pumped-storage system.</Abstract>
</Article>
</ArticleSet>
