Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power
Optimal power flow (OPF) is one of the most significant electric power network control and management issues. Adding unreliable and intermittent renewable energy sources to the electrical grid increase and complicates the OPF issue, which calls for using modern optimization techniques to solve this...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/10/3/361 |
| _version_ | 1797486383458156544 |
|---|---|
| author | Amal Amin Mohamed Salah Kamel Mohamed H. Hassan Mohamed I. Mosaad Mansour Aljohani |
| author_facet | Amal Amin Mohamed Salah Kamel Mohamed H. Hassan Mohamed I. Mosaad Mansour Aljohani |
| author_sort | Amal Amin Mohamed |
| collection | DOAJ |
| description | Optimal power flow (OPF) is one of the most significant electric power network control and management issues. Adding unreliable and intermittent renewable energy sources to the electrical grid increase and complicates the OPF issue, which calls for using modern optimization techniques to solve this issue. This work presents the optimal location and size of some FACTS devices in a hybrid power system containing stochastic wind and traditional thermal power plants considering OPF. The FACTS devices used are thyristor-controlled series compensator (TCSC), thyristor-controlled phase shifter (TCPS), and static var compensator (SVC). This optimal location and size of FACTS devices was determined by introducing a multi-objective function containing reserve costs for overestimation and penalty costs for underestimating intermittent renewable sources besides active power losses. The uncertainty in the wind power output is predicted using Weibull probability density functions. This multi-objective function is optimized using a hybrid technique, gradient-based optimizer (GBO), and moth–flame optimization algorithm (MFO). |
| first_indexed | 2024-03-09T23:33:25Z |
| format | Article |
| id | doaj.art-ac156a07fcc5477ab9b8ff4692609b55 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T23:33:25Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-ac156a07fcc5477ab9b8ff4692609b552023-11-23T17:06:15ZengMDPI AGMathematics2227-73902022-01-0110336110.3390/math10030361Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind PowerAmal Amin Mohamed0Salah Kamel1Mohamed H. Hassan2Mohamed I. Mosaad3Mansour Aljohani4Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, EgyptElectrical & Electronics Engineering Technology Department, Royal Commission Yanbu Colleges & Institutes, Yanbu Industrial City 46452, Saudi ArabiaElectrical & Electronics Engineering Technology Department, Royal Commission Yanbu Colleges & Institutes, Yanbu Industrial City 46452, Saudi ArabiaOptimal power flow (OPF) is one of the most significant electric power network control and management issues. Adding unreliable and intermittent renewable energy sources to the electrical grid increase and complicates the OPF issue, which calls for using modern optimization techniques to solve this issue. This work presents the optimal location and size of some FACTS devices in a hybrid power system containing stochastic wind and traditional thermal power plants considering OPF. The FACTS devices used are thyristor-controlled series compensator (TCSC), thyristor-controlled phase shifter (TCPS), and static var compensator (SVC). This optimal location and size of FACTS devices was determined by introducing a multi-objective function containing reserve costs for overestimation and penalty costs for underestimating intermittent renewable sources besides active power losses. The uncertainty in the wind power output is predicted using Weibull probability density functions. This multi-objective function is optimized using a hybrid technique, gradient-based optimizer (GBO), and moth–flame optimization algorithm (MFO).https://www.mdpi.com/2227-7390/10/3/361optimal power flowwind powerFACTS devicestransmission linehybrid techniquegradient-based optimizer and moth–flame optimization algorithm |
| spellingShingle | Amal Amin Mohamed Salah Kamel Mohamed H. Hassan Mohamed I. Mosaad Mansour Aljohani Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power Mathematics optimal power flow wind power FACTS devices transmission line hybrid technique gradient-based optimizer and moth–flame optimization algorithm |
| title | Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power |
| title_full | Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power |
| title_fullStr | Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power |
| title_full_unstemmed | Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power |
| title_short | Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power |
| title_sort | optimal power flow analysis based on hybrid gradient based optimizer with moth flame optimization algorithm considering optimal placement and sizing of facts wind power |
| topic | optimal power flow wind power FACTS devices transmission line hybrid technique gradient-based optimizer and moth–flame optimization algorithm |
| url | https://www.mdpi.com/2227-7390/10/3/361 |
| work_keys_str_mv | AT amalaminmohamed optimalpowerflowanalysisbasedonhybridgradientbasedoptimizerwithmothflameoptimizationalgorithmconsideringoptimalplacementandsizingoffactswindpower AT salahkamel optimalpowerflowanalysisbasedonhybridgradientbasedoptimizerwithmothflameoptimizationalgorithmconsideringoptimalplacementandsizingoffactswindpower AT mohamedhhassan optimalpowerflowanalysisbasedonhybridgradientbasedoptimizerwithmothflameoptimizationalgorithmconsideringoptimalplacementandsizingoffactswindpower AT mohamedimosaad optimalpowerflowanalysisbasedonhybridgradientbasedoptimizerwithmothflameoptimizationalgorithmconsideringoptimalplacementandsizingoffactswindpower AT mansouraljohani optimalpowerflowanalysisbasedonhybridgradientbasedoptimizerwithmothflameoptimizationalgorithmconsideringoptimalplacementandsizingoffactswindpower |