MODELLING OF A PRE-EVENT CHECKLIST BILL OF QUANTITIES FOR POWER SYSTEM NETWORK RESILIENCE ENHANCEMENT AGAINST NATURAL EVENT
OMOGOYE S. O., FOLLY K. A., AWODELE K. O., OGUNDARE A. B., OYETOLA J. B., GBOTOSO G. A.
ETRJ. Vol. 8(1), 30 March, 2023
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Abstract: Hardening the power distribution system network (PDSN) lines have demonstrated to be one of the foremost successful techniques to decrease the defencelessness of the PDSN to hurricane events attacks over the years. Usually, system network hardening is carried out by under-grounding the cables or strengthening the construction materials that carry the cables. But since the system network infrastructural hardening budget is constrained, more studies are presently cantered on how to distinguish the basic system network critical components under hurricane events to make more cost-effective hardening choices. The past cost-efficient proposed models suffered greatly at the point of implementation due to the inflated bill of quantities from the power system’s contractors. To solve this problem, this article applied a proposed hybrid statistical PDSN pole's fragility curve (FC)-Monte Carlo Simulation (MCS)-Scenario reduction (SCENRED) predictive model to a modified IEEE 14-bus PDSN using general algebraic modelling (GAMS) platform, to predict the most likely power system network pole’s damage scenario under the anticipated oncoming hurricane events. The anticipated PDSN pole damage scenario is then employed to develop a near-normal system pole’s repair bill of quantities to moderate the system hardening cost. The simulation result informs the power distribution system operators (PDSO) awareness to plan and prepare a cost-effective system operational and hardening planning to check the power system contractor’s system network repair cost proactively. Hence, reduced the burden of the highly inflated cost of power restoration from electrical contractors.
Keywords:Hurricane event, network hardening, pre-event checklist bill of quantities, power distribution system network (PDSN).
