Design and Analysis of Lagrangian Algorithm for Power Flow System using Renewable Energy Resources
This paper mainly deals with the implementation of an Lagrangian Relaxation (LR) technique through a Supervisory Control and Data Acquisition (SCADA) system. Maintaining Power Station is not an easy task which to achieve its demand such as regulating inputs monitoring energy losses. In this paper we...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2017-08-01.
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| LEADER | 02272 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs6615_7286 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Rajamanickam, Subramani |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a C, Vijayalakshmi |e author |
| 245 | 0 | 0 | |a Design and Analysis of Lagrangian Algorithm for Power Flow System using Renewable Energy Resources |
| 260 | |b Institute of Advanced Engineering and Science, |c 2017-08-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/6615 | ||
| 520 | |a This paper mainly deals with the implementation of an Lagrangian Relaxation (LR) technique through a Supervisory Control and Data Acquisition (SCADA) system. Maintaining Power Station is not an easy task which to achieve its demand such as regulating inputs monitoring energy losses. In this paper we have introduced novel SCADA based decentralized approach to minimize the loss of the system and optimize the total generation cost. Due to the nonlinearities of Electricity demand and scheduling time, the problem is not solvable with the usual optimization techniques. For getting appropriate solution LR technique has been formulated as a nonlinear programming problem with respect to optimal energy constraints. Based on the numerical calculations and graphical representations the renewable energy sources are optimally allocated in individual and hybrid configurations, which leads to effective production. | ||
| 540 | |a Copyright (c) 2017 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Mathematics | ||
| 690 | |a Lagrangian relaxation (LR); Renewable energy sources (RES); SCADA; Transmission; Optimal power flow; Energy management; Distribution automation. | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 7, No 2: August 2017; 348-355 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v7.i2 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/6615/7286 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/6615/7286 |z Get fulltext |