Journal ArticleDOI
Linear Current Flow Equations With Application to Distribution Systems Reconfiguration
Hamed Ahmadi,Jose R. Marti +1 more
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TLDR
In this paper, a set of linear current flow (LCF) equations are derived for distribution system (DS) analysis to find the nodal voltages, which is then used within the network reconfiguration problem for loss minimization.Abstract:
Conventionally, power flow equations are used for distribution systems (DS) analysis to find the nodal voltages. For the particular form of the DS reconfiguration problem, however, a direct formulation in terms of branch flows allows a substantial increase in solution efficiency from an optimization point of view. In this paper, a set of linear current flow (LCF) equations are derived for DS. This formulation is then used within the network reconfiguration problem for loss minimization. A mixed-integer quadratically constrained programming (MIQCP) formulation, together with a mixed-integer linear programming (MILP) formulation, are proposed in this paper and assessed through simulations. In these comparisons, the MILP formulation shows computational advantages over the MIQCP version and the preceding literature. The proposed methods are evaluated on several test systems.read more
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Journal ArticleDOI
Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids
TL;DR: A multi-time step service restoration methodology is proposed to optimally generate a sequence of control actions for controllable switches, ESSs, and dispatchable DGs to assist the system operator with decision making.
Journal ArticleDOI
Proactive Management of Microgrids for Resiliency Enhancement: An Adaptive Robust Approach
TL;DR: In this article, a two-stage adaptive robust formulation is proposed to minimize the damaging consequences of islanding events, which is robust against realization of uncertain parameters, and an appropriate decomposition strategy is adopted to efficiently solve the problem.
Journal ArticleDOI
Service Restoration Model With Mixed-Integer Second-Order Cone Programming for Distribution Network With Distributed Generations
TL;DR: A mixed-integer second-order cone programming formulation is proposed for service restoration of a distribution network with distributed generations (DGs) that relaxes the original non-convex power flow equations into a conic quadratic format.
Journal ArticleDOI
A Method to Evaluate Total Supply Capability of Distribution Systems Considering Network Reconfiguration and Daily Load Curves
TL;DR: In this paper, two models to evaluate the total supply capability (TSC) of a distribution power system are established, and the models can be formulated as mixed integer problems with second-order cone programming (MISOCP), which can be solved using commercially available optimization software.
Journal ArticleDOI
Effective Dynamic Scheduling of Reconfigurable Microgrids
TL;DR: An effective model for microgrid optimal scheduling with dynamic network reconfiguration to reduce microgrid distribution network losses during grid-connected operation and to reduce potential load curtailments during the islanded operation is developed.
References
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M.E. Baran,F.F. Wu +1 more
TL;DR: In this paper, a nonlinear programming problem for capacitors placed on a radial distribution system is formulated and a solution algorithm is developed to find the optimal size of capacitors so that the power losses will be minimized for a given load profile while considering the cost of the capacitors.
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Distribution feeder reconfiguration for loss reduction
TL;DR: In this paper, a scheme that utilizes feeder reconfiguration as a planning and/or real-time control tool to restructure the primary feeder for loss reduction is presented.
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Reconfiguration of electric distribution networks for resistive line losses reduction
D. Shirmohammadi,H.W. Hong +1 more
TL;DR: In this paper, the authors describe a heuristic method for the reconfiguration of distribution networks in order to reduce their resistive line losses under normal operating conditions, characterized by convergence to the optimum or a near-optimum solution and the independence of the final solution from the initial status of the network switches.
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