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1887

access icon free Framework of intentional islanding operation of active distribution network based on self-healing perspective

© The Institution of Engineering and Technology
Received 17/07/2017, Accepted 01/11/2017, Revised 20/10/2017, Published 02/11/2017

Intentional islanding operation (IIO) is a feasible solution to improve the reliability of active distribution network (ADN) by supplying critical loads through the local DG when a fault occurs. Aiming at this goal, a new two-stage methodology is proposed to supply critical loads based on cost-effective improvement. In the first stage, the interruption cost is proposed as the load priority and the ON/OFF status of switches are considered as the binary decision variables. Therefore, IIO is considered as a mixed integer linear programming (MILP) problem to minimise the interruption cost. At the second stage, the power flow calculation is performed on the initial islands for the real-time operation. The proposed method can be utilised for both long- and short-term studies. In the long-term study, the inherent uncertainty of ADN is considered in MILP by using a Monte-Carlo simulation. This concept is used for clustering ADN into self-sufficient microgrids. Moreover, by taking a snapshot of the ADN status and performing operational feasibility, the proposed method can be considered as a real-time power regulation method. The proposed methodology is implemented on the IEEE 33-bus distribution network, and the results are discussed in detail.

Inspec keywords: integer programming; Monte Carlo methods; power distribution economics; costing; power distribution reliability; linear programming; distributed power generation

Other keywords: MILP problem; binary decision variables; two-stage methodology; active distribution network; ADN reliability; switch on-off status; IEEE 33-bus distribution network; self-healing perspective; real-time power regulation method; load priority; intentional islanding operation; ADN clustering; mixed integer linear programming problem; Monte-Carlo simulation; local DG; inherent uncertainty; interruption cost; self-sufficient microgrids; power flow calculation

Subjects: Optimisation techniques; Distributed power generation; Monte Carlo methods; Reliability; Power system management, operation and economics; Distribution networks

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