Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System
This paper proposes a Differential Evolution (DE) optimization algorithm and a Pareto-frontier Multi-Objective Differential Evolution (MODE) optimization algorithm for the optimal allocation of Distributed Generation (DG) and Distribution Static Compensator (DSTATCOM) in a radial distribution system...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2020-01-01
|
| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/355776 |
| _version_ | 1827282421140160512 |
|---|---|
| author | Khalid Ibrahim* Reza Sirjani Hussain Shareef |
| author_facet | Khalid Ibrahim* Reza Sirjani Hussain Shareef |
| author_sort | Khalid Ibrahim* |
| collection | DOAJ |
| description | This paper proposes a Differential Evolution (DE) optimization algorithm and a Pareto-frontier Multi-Objective Differential Evolution (MODE) optimization algorithm for the optimal allocation of Distributed Generation (DG) and Distribution Static Compensator (DSTATCOM) in a radial distribution system. It considers the minimization of active power dissipation, voltage drop and the annual cost as the objectives of this optimization problem. The proposed techniques are tested on an IEEE 33 bus radial distribution system. To compare the performance of the MODE and DE, the weighted sum approach is carried out. This helps to select one solution from the Pareto front of the MODE. Case studies show that the allocation of both DG and DSTATCOM results in a noticeable reduction of system losses, voltage drop and annual cost. Comparative studies also show that the global convergence characteristics of MODE are better than several other optimization algorithms. |
| first_indexed | 2024-04-24T09:17:52Z |
| format | Article |
| id | doaj.art-282b0aea2aef44cc987dbada1b7433b0 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:17:52Z |
| publishDate | 2020-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-282b0aea2aef44cc987dbada1b7433b02024-04-15T16:29:09ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392020-01-012751654166110.17559/TV-20181214103448Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution SystemKhalid Ibrahim*0Reza Sirjani1Hussain Shareef2Department of Electrical and Electronic Engineering, Eastern Mediterranean University, 99628, Famagusta, North Cyprus, Mersin 10, TurkeyDepartment of Electrical and Electronic Engineering, Eastern Mediterranean University, 99628, Famagusta, North Cyprus, Mersin 10, TurkeyDepartment of Electrical Engineering, United Arab Emirates University, P.O. Box 15551, Al-Ain, UAEThis paper proposes a Differential Evolution (DE) optimization algorithm and a Pareto-frontier Multi-Objective Differential Evolution (MODE) optimization algorithm for the optimal allocation of Distributed Generation (DG) and Distribution Static Compensator (DSTATCOM) in a radial distribution system. It considers the minimization of active power dissipation, voltage drop and the annual cost as the objectives of this optimization problem. The proposed techniques are tested on an IEEE 33 bus radial distribution system. To compare the performance of the MODE and DE, the weighted sum approach is carried out. This helps to select one solution from the Pareto front of the MODE. Case studies show that the allocation of both DG and DSTATCOM results in a noticeable reduction of system losses, voltage drop and annual cost. Comparative studies also show that the global convergence characteristics of MODE are better than several other optimization algorithms.https://hrcak.srce.hr/file/355776differential evolutiondistribution static compensatordistribution system distributed generationmulti-objective differential evolution |
| spellingShingle | Khalid Ibrahim* Reza Sirjani Hussain Shareef Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System Tehnički Vjesnik differential evolution distribution static compensator distribution system distributed generation multi-objective differential evolution |
| title | Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System |
| title_full | Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System |
| title_fullStr | Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System |
| title_full_unstemmed | Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System |
| title_short | Performance Assessment of Pareto and Non-Pareto Approaches for the Optimal Allocation of DG and DSTATCOM in the Distribution System |
| title_sort | performance assessment of pareto and non pareto approaches for the optimal allocation of dg and dstatcom in the distribution system |
| topic | differential evolution distribution static compensator distribution system distributed generation multi-objective differential evolution |
| url | https://hrcak.srce.hr/file/355776 |
| work_keys_str_mv | AT khalidibrahim performanceassessmentofparetoandnonparetoapproachesfortheoptimalallocationofdganddstatcominthedistributionsystem AT rezasirjani performanceassessmentofparetoandnonparetoapproachesfortheoptimalallocationofdganddstatcominthedistributionsystem AT hussainshareef performanceassessmentofparetoandnonparetoapproachesfortheoptimalallocationofdganddstatcominthedistributionsystem |