MILP-based technique for smart self-healing grids

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MILP-based technique for smart self-healing grids

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© The Institution of Engineering and Technology
Received 28/11/2017, Accepted 13/02/2018, Revised 26/01/2018, Published 19/02/2018

The development of smart grids has offered many technical solutions that can increase the reliability and resilience of distribution systems. Self-healing is an important characteristic of smart grids, as it pertains to the capability of the grid to isolate and restore the system, or part of it, to its normal operation following interruptions. This is achieved by adopting advanced monitoring and control systems and utilising all local available distributed sources. In this study, a smart self-healing optimisation strategy for smart grids is proposed. The proposed technique considers several factors, including the available power supply, system configuration, and load management. Moreover, a load prioritisation model is presented and incorporated into the proposed technique. The self-healing strategy is formulated as a mixed-integer linear programming problem, which is solved mathematically, ensuring global optimality of the solution. The strategy is tested by applying it to 16-bus and 33-bus smart grid systems. Further, the proposed formulation is utilised to solve the reconfiguration for the loss-minimisation problem for a 69-bus system. The simulation results indicate the capability of the proposed strategy in providing the optimal network configuration, optimal distributed generators output, and optimal load curtailment with remarkable accuracy and computational time.

Inspec keywords: linear programming; mathematical analysis; integer programming; minimisation; load management; smart power grids

Other keywords: 69-bus system; smart self-healing optimisation strategy; power supply; 16-bus smart grid system; mixed-integer linear programming problem; optimal distributed generator output; smart self-healing grid; loss-minimisation problem; reliability; mathematical solution; load prioritisation model; power system monitoring; distribution system; optimal network configuration; load management; MILP-based technique; power system restoration; optimal load curtailment; 33-bus smart grid system

Subjects: Optimisation techniques; Power system management, operation and economics; Mathematical analysis

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