Associate Professor Sotdhipong Phichaisawat, Ph.D.
รศ. ดร.โสตถิพงศ์ พิชัยสวัสดิ์
Education
- Ph.D. (Electrical Engineering), Brunel University(West London), U.K.
- M.Eng. Electrical Engineering, Chulalongkorn University, Thailand
- B.Eng. Electrical Engineering Chulalongkorn University, Thailand
Email: Sotdhipong.P@chula.ac.th
Research Interest
- Electrical System Design
- Lighting Design
- Power System
Research Cluster
1.
Wongchai, P; Phichaisawat, S
Load feasible region determination by using adaptive particle swarm optimization Journal Article
In: Engineering Journal, vol. 23, no. 6, pp. 239-263, 2019, ISSN: 01258281, (cited By 0).
@article{Wongchai2019,
title = {Load feasible region determination by using adaptive particle swarm optimization},
author = {P Wongchai and S Phichaisawat},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075926519&doi=10.4186%2fej.2019.23.6.239&partnerID=40&md5=52864e92b2444ddd6481a400a0398c5c},
doi = {10.4186/ej.2019.23.6.239},
issn = {01258281},
year = {2019},
date = {2019-01-01},
journal = {Engineering Journal},
volume = {23},
number = {6},
pages = {239-263},
publisher = {Chulalongkorn University, Faculty of Fine and Applied Arts},
abstract = {The proposed method determines points in a feasible region by using an adaptive particle swarm optimization in order to solve the boundary region which represented by the obtained points. This method is also used for calculating a large-scale power system. In any contingency case, it will be illustrated with an x-axis and y-axis space which is given by the power flow analysis. In addition, this presented approach in this paper not only demonstrates the optimal points through the boundary tracing method of the feasible region but also presents the boundary points obtained the particle swarm optimization. Moreover, decreasing loss function and operational physical constraints such as voltage level, equipment specification are all simultaneously considered. The points in the feasible region are also determined the boundary points which a point happening a contingency in the power system is already taken into account and the stability of load demand is ascertained into the normal operation, i.e. the power system can be run without violation. These feasible points regulate the actions of the system and the robustness of the operating points. Finally, the proposed method is evaluated on the test system to examine the impact of system parameters relevant to generation and consumption. © 2019, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved.},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The proposed method determines points in a feasible region by using an adaptive particle swarm optimization in order to solve the boundary region which represented by the obtained points. This method is also used for calculating a large-scale power system. In any contingency case, it will be illustrated with an x-axis and y-axis space which is given by the power flow analysis. In addition, this presented approach in this paper not only demonstrates the optimal points through the boundary tracing method of the feasible region but also presents the boundary points obtained the particle swarm optimization. Moreover, decreasing loss function and operational physical constraints such as voltage level, equipment specification are all simultaneously considered. The points in the feasible region are also determined the boundary points which a point happening a contingency in the power system is already taken into account and the stability of load demand is ascertained into the normal operation, i.e. the power system can be run without violation. These feasible points regulate the actions of the system and the robustness of the operating points. Finally, the proposed method is evaluated on the test system to examine the impact of system parameters relevant to generation and consumption. © 2019, Chulalongkorn University, Faculty of Fine and Applied Arts. All rights reserved.
2.
Limpatthamapanee, S; Phichaisawat, S
Determination of transfer capability region using boundary tracing method Journal Article
In: IEEJ Transactions on Electrical and Electronic Engineering, vol. 7, no. 4, pp. 375-382, 2012, ISSN: 19314973, (cited By 3).
@article{Limpatthamapanee2012,
title = {Determination of transfer capability region using boundary tracing method},
author = {S Limpatthamapanee and S Phichaisawat},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861681582&doi=10.1002%2ftee.21743&partnerID=40&md5=b65be63ae4d7d77743db90a5a9177d33},
doi = {10.1002/tee.21743},
issn = {19314973},
year = {2012},
date = {2012-01-01},
journal = {IEEJ Transactions on Electrical and Electronic Engineering},
volume = {7},
number = {4},
pages = {375-382},
publisher = {John Wiley and Sons Inc.},
abstract = {In electricity markets, transfer capability is a parameter showing the potential of a considered source-sink pair to transfer power. This paper enhances transfer capability monitoring by proposing a method to determine this parameter with respect to a region referred to as the 'transfer capability region' (TCR). The boundary of a TCR is traced by using the modified predictor-corrector process on a plane of real and reactive powers. The TCR shows a set of feasible loading points at the sink area. Moreover, the shape of TCR always changes according to the system parameters. This paper also defines the outermost boundary of the TCR when the considered parameters are set to be free. We apply the proposed method to test systems, and then compare to the maximum loading points obtained by the conventional transfer capability calculation. © 2012 Institute of Electrical Engineers of Japan.},
note = {cited By 3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In electricity markets, transfer capability is a parameter showing the potential of a considered source-sink pair to transfer power. This paper enhances transfer capability monitoring by proposing a method to determine this parameter with respect to a region referred to as the 'transfer capability region' (TCR). The boundary of a TCR is traced by using the modified predictor-corrector process on a plane of real and reactive powers. The TCR shows a set of feasible loading points at the sink area. Moreover, the shape of TCR always changes according to the system parameters. This paper also defines the outermost boundary of the TCR when the considered parameters are set to be free. We apply the proposed method to test systems, and then compare to the maximum loading points obtained by the conventional transfer capability calculation. © 2012 Institute of Electrical Engineers of Japan.
3.
Limpatthamapanee, S; Phichaisawat, S
Visualization of load security region bounded by operational constraints of power systems Journal Article
In: Engineering Journal, vol. 15, no. 3, pp. 59-73, 2011, ISSN: 01258281, (cited By 1).
@article{Limpatthamapanee2011,
title = {Visualization of load security region bounded by operational constraints of power systems},
author = {S Limpatthamapanee and S Phichaisawat},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960756745&doi=10.4186%2fej.2011.15.3.59&partnerID=40&md5=92aa07609ddd2355759fe89c9edc1caf},
doi = {10.4186/ej.2011.15.3.59},
issn = {01258281},
year = {2011},
date = {2011-01-01},
journal = {Engineering Journal},
volume = {15},
number = {3},
pages = {59-73},
abstract = {This paper presents the method to visualize a set of feasible loading points, called "feasible region", in the two-dimensional power flow solution space. The visualization can be done by tracing the boundary of feasible region. The boundary points are determined by optimizing the reduced cost function with operational constraints. The method can also determine several kinds of feasible regions by assigning the appropriate free variables and its criteria. These feasible regions show the robustness of operating points and the limit of control actions. The test systems illustrate the boundary tracing and impacts of system parameters on the shape of feasible region, i.e. the capacitor bank operation, load shedding, generator voltage controls, and load level.},
note = {cited By 1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This paper presents the method to visualize a set of feasible loading points, called "feasible region", in the two-dimensional power flow solution space. The visualization can be done by tracing the boundary of feasible region. The boundary points are determined by optimizing the reduced cost function with operational constraints. The method can also determine several kinds of feasible regions by assigning the appropriate free variables and its criteria. These feasible regions show the robustness of operating points and the limit of control actions. The test systems illustrate the boundary tracing and impacts of system parameters on the shape of feasible region, i.e. the capacitor bank operation, load shedding, generator voltage controls, and load level.