Decoupled optimal power flow simulation to maximize customer welfare
The purpose of this project is to study the feasibility of utilizing the DC-Optimal Power Flow (OPF) solution to maximize customer’s welfare in a real-world AC setting. DC-OPF is an approximation of the conventional OPF, where a standard DC-OPF formulation neglects losses and reactive power in the s...
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sg-ntu-dr.10356-751682023-07-07T17:04:01Z Decoupled optimal power flow simulation to maximize customer welfare Ong, Yao Zhou Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution The purpose of this project is to study the feasibility of utilizing the DC-Optimal Power Flow (OPF) solution to maximize customer’s welfare in a real-world AC setting. DC-OPF is an approximation of the conventional OPF, where a standard DC-OPF formulation neglects losses and reactive power in the system and assumes that all the buses in the system have a flat voltage magnitude of 1 per unit (pu). In addition, Demand Side Management (DSM) will be incorporated into the DC-OPF formulation to simulate customer’s participation, which will further reduce the cost of generation and maximize the welfare of customers. Due to the simplifications made, DC-OPF solutions do not guarantee AC feasibility. An iterative validation process proposed will be used to test for the AC feasibility of a DC-OPF solution on a realistic AC simulation environment. Rectifications will be made if system violations are found, and the process will repeat until an AC feasible DC-OPF solution is obtained. The IEEE 14-bus system and 15-bus microgrid from NTU’s Clean Energy Research Laboratory (CERL) will be used for the study in this project. Results show that with the validation process proposed, DC-OPF solutions can be used in a real-world AC setting. Despite a difference in the solution of an AC feasible DC-OPF and DC-OPF, the difference is within acceptable limits. Furthermore, the use of DSM can tremendously improve the overall time taken to obtain an AC feasible DC-OPF solution and further maximize the welfare of customers. Bachelor of Engineering 2018-05-29T12:44:57Z 2018-05-29T12:44:57Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75168 en Nanyang Technological University 86 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Ong, Yao Zhou Decoupled optimal power flow simulation to maximize customer welfare |
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The purpose of this project is to study the feasibility of utilizing the DC-Optimal Power Flow (OPF) solution to maximize customer’s welfare in a real-world AC setting. DC-OPF is an approximation of the conventional OPF, where a standard DC-OPF formulation neglects losses and reactive power in the system and assumes that all the buses in the system have a flat voltage magnitude of 1 per unit (pu). In addition, Demand Side Management (DSM) will be incorporated into the DC-OPF formulation to simulate customer’s participation, which will further reduce the cost of generation and maximize the welfare of customers. Due to the simplifications made, DC-OPF solutions do not guarantee AC feasibility. An iterative validation process proposed will be used to test for the AC feasibility of a DC-OPF solution on a realistic AC simulation environment. Rectifications will be made if system violations are found, and the process will repeat until an AC feasible DC-OPF solution is obtained. The IEEE 14-bus system and 15-bus microgrid from NTU’s Clean Energy Research Laboratory (CERL) will be used for the study in this project. Results show that with the validation process proposed, DC-OPF solutions can be used in a real-world AC setting. Despite a difference in the solution of an AC feasible DC-OPF and DC-OPF, the difference is within acceptable limits. Furthermore, the use of DSM can tremendously improve the overall time taken to obtain an AC feasible DC-OPF solution and further maximize the welfare of customers. |
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Gooi Hoay Beng |
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Gooi Hoay Beng Ong, Yao Zhou |
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Final Year Project |
author |
Ong, Yao Zhou |
author_sort |
Ong, Yao Zhou |
title |
Decoupled optimal power flow simulation to maximize customer welfare |
title_short |
Decoupled optimal power flow simulation to maximize customer welfare |
title_full |
Decoupled optimal power flow simulation to maximize customer welfare |
title_fullStr |
Decoupled optimal power flow simulation to maximize customer welfare |
title_full_unstemmed |
Decoupled optimal power flow simulation to maximize customer welfare |
title_sort |
decoupled optimal power flow simulation to maximize customer welfare |
publishDate |
2018 |
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http://hdl.handle.net/10356/75168 |
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1772826774626893824 |