Abstract
This paper presents a mathematical model for simultaneous deployment of protective devices (PDs) and controlling devices (CDs) in distribution networks. The PDs include fuses and reclosers and the CDs are remote controlled switches (RCSs) and manual switches (MSs). The model is to minimize equipment costs as well as sustained and momentary interruption costs. It considers the coordination of fuses and reclosers during temporary faults involving fuse saving and fuse blowing schemes. The model is in mixed integer programming (MIP) fashion which can be effectively solved with available solvers. The performance of the proposed model is verified through applying it to Bus 4 of Roy Billinton test system and a real-life distribution network. The results reveal the effectiveness of the model in reducing system costs as well as in improving reliability level.
Highlights
The majority of service interruptions in power systems are originated from faults in distribution networks [1]
Though, when there is no restriction on the budget allocated to DisCos, installing remote controlled switches (RCSs), due to its advantages in prompt service restoration, and reclosers, owing to their protective characteristic, is more preferable
The paper proposed a mathematical model for decision making about the optimal deployment of reclosers, fuses, RCSs, and manual switches (MSs) in one placement problem
Summary
The majority of service interruptions in power systems are originated from faults in distribution networks [1]. [28], [30] considered PDs and CDs in one problem, the proposed models were formulated in mixed integer non-linear programming format which does not necessarily lead to the optimal solution, while our proposed MIP model guarantees finding the global optimum solution. It is worthwhile to mention that the proposed placement problem is a combinatorial and complex optimization problem and solving it using heuristic algorithms which explore only a narrow region of the search space and have a tendency of getting stuck into locally optimal solutions is time-consuming With this in mind and to find the global optimum solution, as the main contribution of this paper, the optimum placement of PD and CD is meticulously modeled in one problem with MIP formulation which guarantees the global optimum solution. The developed model is in MIP fashion which guarantees convergence to the global optimum solution
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