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Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 89-540
Full Name: Ahmed Abd el.maksoud
Position: Researcher
Age: ON
Sex: Male
Address: Lintukorventie 2 H 89 , Lintuvaara , 02660 , Espoo
Country: FINLAND
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E-mail address: othman@cc.hut.fi
Other E-mails: ahmed_othman80@yahoo.com
Title of the Paper: Optimal UPFC Installation based on GA in a Real Finnish Sub-transmission Network considering Performance Measures and Reliability
Authors as they appear in the Paper: Ahmed Othman; Alexander Gaun; Matti Lehtonen; Mahdi El-arini
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Number of paper pages: 10
Abstract: UPFC has an efficient feature to control some of the network parameters as the active power flow, reactive power flow, and voltage magnitude at the UPFC installation buses. Using UPFC, the performance of the power system during various operating conditions can be improved. In this paper, a Genetic Algorithm (GA) is used to find the optimal location and the optimal UPFC parameters setting to enhance the transmission lines overloading issue keeping the voltage profile inside the enhanced limits. Additionally the outage cost of the power system is used to verify the impact of the optimized UPFC on the reliability. The application of this procedure is proposed on Helsinki HELENSÄHKÖVERKKO 110 KV NETWORK, which is a real Finnish world 110-kV sub transmission network with operating conditions of the present year until the year 2020. To show the validity of the technique, it will be tested first on the IEEE 6-bus system. The impact of UPFC installation in Helen network on!
the reliability in terms of outage costs will be discussed.
Keywords: Fitness Function, Genetics Algorithm (GA), Outage Cost, Optimal Placement, Reliability, Overload Capability (OLC), Unified Power Flow Controller (UPFC).
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