TY - JOUR
T1 - Application of polynomial regression and MILP for under-frequency load shedding scheme in islanded distribution system
AU - Sarwar, Sohail
AU - Mokhlis, Hazlie
AU - Othman, Mohamadariff
AU - Shareef, Hussain
AU - Wang, Li
AU - Mansor, Nurulafiqah Nadzirah
AU - Mohd Khairuddin, Anis Salwa
AU - Mohamad, Hasmaini
N1 - Funding Information:
This research is funded by the University of Malaya research grant (Grant no. ST014-2020, IIRG001A-2020IISS). The first author is funded by higher education commission of Pakistan under HRDI faculty development of UESTPS-UETS phase-1.
Publisher Copyright:
© 2021 THE AUTHORS
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
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U2 - 10.1016/j.aej.2021.06.028
DO - 10.1016/j.aej.2021.06.028
M3 - Article
AN - SCOPUS:85109432210
SN - 1110-0168
VL - 61
SP - 659
EP - 674
JO - AEJ - Alexandria Engineering Journal
JF - AEJ - Alexandria Engineering Journal
IS - 1
ER -