Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system
Distributed Generation (DG) integration, especially based on renewable energy resources, has gained great attention by power utilities and frequently utilized in the electrical distribution systems. However, DG integration imposes some risks towards system stability which may lead to system blackout...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821003902 |
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| author | Sohail Sarwar Hazlie Mokhlis Mohamadariff Othman Hussain Shareef Li Wang Nurulafiqah Nadzirah Mansor Anis Salwa Mohd Khairuddin Hasmaini Mohamad |
| author_facet | Sohail Sarwar Hazlie Mokhlis Mohamadariff Othman Hussain Shareef Li Wang Nurulafiqah Nadzirah Mansor Anis Salwa Mohd Khairuddin Hasmaini Mohamad |
| author_sort | Sohail Sarwar |
| collection | DOAJ |
| description | Distributed Generation (DG) integration, especially based on renewable energy resources, has gained great attention by power utilities and frequently utilized in the electrical distribution systems. However, DG integration imposes some risks towards system stability which may lead to system blackouts. This mainly occurs when the grid is decoupled from a portion of the distribution system consisting DGs while the total load demand is greater than total DGs output power. In order to overcome this problem, load shedding technique can be adopted to stabilize the system frequency. However, existing load shedding techniques were unable to accurately estimate the power imbalance due the variation in system loading. This results in excessive/inadequate load shedding to stabilize the system frequency. Moreover, random selection of the loads without load prioritization might cause vital loads to be shed. Therefore, in this paper, a new load shedding strategy for islanded distribution system is proposed. Polynomial regression analysis estimates the power mismatch while MILP optimization estimates optimal load combination for shedding. Furthermore, load priority (i.e., vital, non-vital, and semi-vital) is also considered to avoid disconnecting vital loads. Efficiency of the proposed scheme is evaluated on three different test systems. Validation is performed by modelling the proposed load shedding on PSCAD/EMTDC software for dynamic analysis. From the results, it can be analyzed that the proposed technique is superior compared to other techniques proposed in the literature. |
| first_indexed | 2024-12-17T19:32:05Z |
| format | Article |
| id | doaj.art-deccbb155262470a848af4f0c5d3aac1 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-12-17T19:32:05Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-deccbb155262470a848af4f0c5d3aac12022-12-21T21:35:14ZengElsevierAlexandria Engineering Journal1110-01682022-01-01611659674Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution systemSohail Sarwar0Hazlie Mokhlis1Mohamadariff Othman2Hussain Shareef3Li Wang4Nurulafiqah Nadzirah Mansor5Anis Salwa Mohd Khairuddin6Hasmaini Mohamad7Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia.Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia.; Corresponding authors.Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia.; Corresponding authors.Department of Electrical Engineering, United Arab Emirates University, 15551 1 Al-Ain, United Arab EmiratesDepartment of Electrical Engineering, National Cheng Kung University, Tainan 70101, TaiwanDepartment of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia.Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia.School of Electrical Engineering, Universiti Teknologi MARA, Shah Alam 40450, MalaysiaDistributed Generation (DG) integration, especially based on renewable energy resources, has gained great attention by power utilities and frequently utilized in the electrical distribution systems. However, DG integration imposes some risks towards system stability which may lead to system blackouts. This mainly occurs when the grid is decoupled from a portion of the distribution system consisting DGs while the total load demand is greater than total DGs output power. In order to overcome this problem, load shedding technique can be adopted to stabilize the system frequency. However, existing load shedding techniques were unable to accurately estimate the power imbalance due the variation in system loading. This results in excessive/inadequate load shedding to stabilize the system frequency. Moreover, random selection of the loads without load prioritization might cause vital loads to be shed. Therefore, in this paper, a new load shedding strategy for islanded distribution system is proposed. Polynomial regression analysis estimates the power mismatch while MILP optimization estimates optimal load combination for shedding. Furthermore, load priority (i.e., vital, non-vital, and semi-vital) is also considered to avoid disconnecting vital loads. Efficiency of the proposed scheme is evaluated on three different test systems. Validation is performed by modelling the proposed load shedding on PSCAD/EMTDC software for dynamic analysis. From the results, it can be analyzed that the proposed technique is superior compared to other techniques proposed in the literature.http://www.sciencedirect.com/science/article/pii/S1110016821003902Frequency instabilityLoad priorityMixed integer linear programmingPolynomial regressionSystem blackoutUnder frequency load shedding |
| spellingShingle | Sohail Sarwar Hazlie Mokhlis Mohamadariff Othman Hussain Shareef Li Wang Nurulafiqah Nadzirah Mansor Anis Salwa Mohd Khairuddin Hasmaini Mohamad Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system Alexandria Engineering Journal Frequency instability Load priority Mixed integer linear programming Polynomial regression System blackout Under frequency load shedding |
| title | Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system |
| title_full | Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system |
| title_fullStr | Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system |
| title_full_unstemmed | Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system |
| title_short | Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system |
| title_sort | application of polynomial regression and milp for under frequency load shedding scheme in islanded distribution system |
| topic | Frequency instability Load priority Mixed integer linear programming Polynomial regression System blackout Under frequency load shedding |
| url | http://www.sciencedirect.com/science/article/pii/S1110016821003902 |
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