| Type of Material: | Thesis |
| Title: | OPTIMAL POWER FLOW OF AN INTERCONNECTED POWER SYSTEM USING LINEAR PROGRAMMING AND ARTIFICIAL NEURAL NETWORK |
| Researcher: | SURESH K. |
| Guide: | M. SUNDARARAJAN |
| Department: | Department of Electrical and Electronics Engineering |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2011 |
| Language: | English |
| Subject: | Constraint Linearization | Bus Voltage Constraint | Line Flow Constraints | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai; 2011; D08EE021 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSURESH K.|eResearcher |
| 110 | __ | |aDepartment of Electrical and Electronics Engineering|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aOPTIMAL POWER FLOW OF AN INTERCONNECTED POWER SYSTEM USING LINEAR PROGRAMMING AND ARTIFICIAL NEURAL NETWORK |
| 260 | __ | |aChennai|bBharath University, Chennai|c2011 |
| 300 | __ | |dDVD |
| 502 | __ | |cDepartment of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai|d2011|oD08EE021|bPhD |
| 518 | __ | |d2008-01-16|oDate of Registration |
| 520 | __ | |aThe Optimal Power Flow (OPF) problem was first defined in the early sixties. Over several decades, numerous formulations and solution strategies have been evolved. Various models using Jacobian, P-Q decoupling and constant matrices have been tried. Numerous solution tools such as several nonlinear programming (NLP) techniques, Successive Linear Programming (SLP) technique, Artificial Intelligence (AI) based techniques like Genetic Algorithm and others have been used. Advances in efficient computing methods have been utilized. Efficient matrix storage and computational methods like sparse matrix technique have been employed to develop better OPF methods. In this thesis, a method is proposed to solve the OPF problem considering multiple objectives of generation cost minimization, transmission loss minimization and voltage stability margin maximization. The OPF is obtained by two ways, the first method is used to optimize the reactive power dispatch in the system by employing Quadratic programming with lineari |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aConstraint Linearization |
| 653 | __ | |aBus Voltage Constraint |
| 653 | __ | |aLine Flow Constraints |
| 700 | __ | |aM. SUNDARARAJAN|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/170919|yShodhganga |
| 905 | __ | |afromsg |
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