<?xml version="1.0" encoding="utf-8"?>
 <ArticleSet>
	
		<Article>
		<Journal>
			<PublisherName>Iran University of Science and Technology (IUST)</PublisherName>
			<JournalTitle>Iranian Journal of Electrical and Electronic Engineering</JournalTitle>
			<PISSN>1735-2827</PISSN>
			<EISSN>1735-2827</EISSN>
			<Volume>3</Volume>
			<Issue>1</Issue>
			<PubDate PubStatus="epublish">
				<Year>2007</Year>
				<Month>1</Month>
				<Day>1</Day>
			</PubDate>
		</Journal>
			
		<ArticleTitle>Impact of Participants’ Market Power and Transmission Constraints on GenCos’ Nash Equilibrium Point</ArticleTitle>
		<FirstPage>1</FirstPage>
		<LastPage>9</LastPage>
		<Language>EN</Language>
		

	<AuthorList>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>A. Badri</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>Y</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>S. Jadid</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>M. Parsa-Moghaddam</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	</AuthorList>
	<DOI></DOI>
	<Abstract>Unlike perfect competitive markets, in oligopoly electricity markets due to
strategic producers and transmission constraints GenCos may increase their own profit
through strategic biddings. This paper investigates the problem of developing optimal
bidding strategies of GenCos considering participants’ market power and transmission
constraints. The problem is modeled as a bi-level optimization that at the first level each
GenCo maximizes its payoff through strategic bidding and at the second level, in order to
consider transmission constraints a system dispatch is accomplished through an OPF
problem. The AC power flow model is used for proposed OPF. Here it is assumed that each
GenCo uses linear supply function model for its bidding and has information about initial
bidding of other competitors. The impact of optimal biddings on market characteristics as
well as GenCos’ payoffs are investigated and compared with perfect competitive markets
where all the participants bid with their marginal costs. Furthermore, effects of exercising
market power due to transmission constraints as well as different biddings of strategic
generators on GenCos’ optimal bidding strategies are presented. Finally IEEE-30 bus test
system is used for case study to demonstrate simulation results.</Abstract>
	<Keywords>Bidding Strategy,Market Power,Nash Equilibrium,Oligopoly Market,Transmission Constraints,</Keywords>

			<URLs>
				<abstract>http://ijeee.iust.ac.ir/article-1-22-en.html</abstract>
				<Fulltext>
					<pdf>http://ijeee.iust.ac.ir/article-1-22-en.pdf</pdf>
				</Fulltext>
			</URLs>
			
			
	</Article>
	
		<Article>
		<Journal>
			<PublisherName>Iran University of Science and Technology (IUST)</PublisherName>
			<JournalTitle>Iranian Journal of Electrical and Electronic Engineering</JournalTitle>
			<PISSN>1735-2827</PISSN>
			<EISSN>1735-2827</EISSN>
			<Volume>3</Volume>
			<Issue>1</Issue>
			<PubDate PubStatus="epublish">
				<Year>2007</Year>
				<Month>1</Month>
				<Day>1</Day>
			</PubDate>
		</Journal>
			
		<ArticleTitle>Reliability-Constrained Unit Commitment Considering Interruptible Load Participation</ArticleTitle>
		<FirstPage>10</FirstPage>
		<LastPage>20</LastPage>
		<Language>EN</Language>
		

	<AuthorList>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>F. Aminifar</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>Y</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>M. Fotuhi-Firuzabad</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	</AuthorList>
	<DOI></DOI>
	<Abstract>From the optimization point of view, an optimum solution of the unit
commitment problem with reliability constraints can be achieved when all constraints are
simultaneously satisfied rather than sequentially or separately satisfying them. Therefore,
the reliability constraints need to be appropriately formulated in terms of the conventional
unit commitment variables. In this paper, the reliability-constrained unit commitment
problem is formulated in a mixed-integer program format. Both the unit commitment risk
and the response risk are taken into account as the probabilistic criteria of the operating
reserve requirement. In addition to spinning reserve of generating units, interruptible load is
also included as a part of operating reserve. The numerical studies using IEEE-RTS
indicate the effectiveness of the proposed formulation. The obtained results are presented
and the implementation issues are discussed. Two sensitivity analyses are also fulfilled to
illustrate the effects of generating unit failure rates and interruption time of interruptible
load.</Abstract>
	<Keywords>Interruptible Load,Response Risk,Spinning Reserve,Unit Commitment Risk,</Keywords>

			<URLs>
				<abstract>http://ijeee.iust.ac.ir/article-1-23-en.html</abstract>
				<Fulltext>
					<pdf>http://ijeee.iust.ac.ir/article-1-23-en.pdf</pdf>
				</Fulltext>
			</URLs>
			
			
	</Article>
	
		<Article>
		<Journal>
			<PublisherName>Iran University of Science and Technology (IUST)</PublisherName>
			<JournalTitle>Iranian Journal of Electrical and Electronic Engineering</JournalTitle>
			<PISSN>1735-2827</PISSN>
			<EISSN>1735-2827</EISSN>
			<Volume>3</Volume>
			<Issue>1</Issue>
			<PubDate PubStatus="epublish">
				<Year>2007</Year>
				<Month>1</Month>
				<Day>1</Day>
			</PubDate>
		</Journal>
			
		<ArticleTitle>Introducing a New Method for Multiarea Transmission Networks Loss Allocation</ArticleTitle>
		<FirstPage>21</FirstPage>
		<LastPage>30</LastPage>
		<Language>EN</Language>
		

	<AuthorList>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>A. Kazemi</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>Y</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>Sh. Jadid</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>H. Andami</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	</AuthorList>
	<DOI></DOI>
	<Abstract>Transmission loss allocation in very large networks with multiple interconnected
areas or countries is investigated in this paper. The main contribution is to propose a
method to calculate the amount of losses due to activity of each participant in the multi area
markets. Pricing of cross-border trades in Multi area systems is often difficult since
individual countries may use incompatible internal transmission pricing regimes, and they
are usually unwilling to disclose any sensitive information about their own systems.
A new methodology based on the loss formula concept for allocating electric losses to
generators and loads is presented in this paper. The only data required are the power flows
and characteristics of tie-lines and PV Ward equivalent model of area networks from border
nodes point of view. Proposed methodology is tested on the IEEE 118 node network which
is divided into three areas, each with a different internal transmission pricing methodology.
In the proposed methodology no information is required about individual loads, generations
or detailed internal networks. It is also shown to be simple, transparent and very fast and it
can deal effectively with multiple pricing policies.</Abstract>
	<Keywords>Loss Allocation,Multiarea Power Systems,PV Ward Model,Restructured Systems,Tie Line Losses,</Keywords>

			<URLs>
				<abstract>http://ijeee.iust.ac.ir/article-1-24-en.html</abstract>
				<Fulltext>
					<pdf>http://ijeee.iust.ac.ir/article-1-24-en.pdf</pdf>
				</Fulltext>
			</URLs>
			
			
	</Article>
	
		<Article>
		<Journal>
			<PublisherName>Iran University of Science and Technology (IUST)</PublisherName>
			<JournalTitle>Iranian Journal of Electrical and Electronic Engineering</JournalTitle>
			<PISSN>1735-2827</PISSN>
			<EISSN>1735-2827</EISSN>
			<Volume>3</Volume>
			<Issue>1</Issue>
			<PubDate PubStatus="epublish">
				<Year>2007</Year>
				<Month>1</Month>
				<Day>1</Day>
			</PubDate>
		</Journal>
			
		<ArticleTitle>Fuzzy Control of Fuel Cell Distributed Generation Systems</ArticleTitle>
		<FirstPage>31</FirstPage>
		<LastPage>41</LastPage>
		<Language>EN</Language>
		

	<AuthorList>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>A. Hajizadeh</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>Y</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>M. Aliakbar-Golkar</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	</AuthorList>
	<DOI></DOI>
	<Abstract>The operation of Fuel Cell Distributed Generation (FCDG) systems in
distribution systems is introduced by modeling, controller design, and simulation study of a
Solid Oxide Fuel Cell (SOFC) distributed generation (DG) system. The physical model of
the fuel cell stack and dynamic models of power conditioning units are described. Then,
suitable control architecture based on fuzzy logic control for the overall system is presented
in order to active power control and power quality improvement. A MATLAB/Simulink
simulation model is developed for the SOFC DG system by combining the individual
component models and the controllers designed for the power conditioning units.
Simulation results are given to show the overall system performance including active power
control and voltage regulation capability of the distribution system.</Abstract>
	<Keywords>Distributed Generation,Fuel Cell,Fuzzy Control,Power Quality,Voltage Regulation,</Keywords>

			<URLs>
				<abstract>http://ijeee.iust.ac.ir/article-1-25-en.html</abstract>
				<Fulltext>
					<pdf>http://ijeee.iust.ac.ir/article-1-25-en.pdf</pdf>
				</Fulltext>
			</URLs>
			
			
	</Article>
	
		<Article>
		<Journal>
			<PublisherName>Iran University of Science and Technology (IUST)</PublisherName>
			<JournalTitle>Iranian Journal of Electrical and Electronic Engineering</JournalTitle>
			<PISSN>1735-2827</PISSN>
			<EISSN>1735-2827</EISSN>
			<Volume>3</Volume>
			<Issue>1</Issue>
			<PubDate PubStatus="epublish">
				<Year>2007</Year>
				<Month>1</Month>
				<Day>1</Day>
			</PubDate>
		</Journal>
			
		<ArticleTitle>Parameter Identification of a Brushless Resolver Using Charge Response of Stator Current</ArticleTitle>
		<FirstPage>42</FirstPage>
		<LastPage>52</LastPage>
		<Language>EN</Language>
		

	<AuthorList>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>D. Arab-Khaburi</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>F. Tootoonchian</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>Y</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	<Author>
	<FirstName></FirstName>
	<MiddleName></MiddleName>
	<LastName>Z. Nasiri-Gheidari</LastName>
	<Affiliation></Affiliation>
	<AuthorEmails></AuthorEmails>
	<CorrespondingAuthor>N</CorrespondingAuthor>
	<ORCID></ORCID>
	 </Author>
	</AuthorList>
	<DOI></DOI>
	<Abstract>Because of temperature independence, high resolution and noiseless outputs,
brushless resolvers are widely used in high precision control systems. In this paper, at first
dynamic performance characteristics of brushless resolver, considering parameters
identification are presented. Then a mathematical model based on d-q axis theory is given.
This model can be used for studying the dynamic behavior of the resolver and steady state
model is obtained by using dynamic model. The main object of this paper is to present an
approach to identify electrical and mechanical parameters of a brushless resolver based on
DC charge excitation and weight, pulley and belt method, respectively. Finally, the model
of resolver based on the obtained parameters is simulated. Experimental results approve the
validity of proposed method.</Abstract>
	<Keywords>Brushless Resolver,Dynamic Performance,Electrical and Mechanical Parameter Identification,Steady State Behavior,</Keywords>

			<URLs>
				<abstract>http://ijeee.iust.ac.ir/article-1-26-en.html</abstract>
				<Fulltext>
					<pdf>http://ijeee.iust.ac.ir/article-1-26-en.pdf</pdf>
				</Fulltext>
			</URLs>
			
			
	</Article>
 </ArticleSet>
 
  
  
  
  
 