کنفرانس مهندسی برق ایران

صفحه اصلی / سی و چهارمین کنفرانس بین المللی مهندسی برق

Multi-Objective Scheduling of Planned Outages in Distribution Networks Considering Fairness and SAIDI

نویسندگان :

Mohammadreza Mohammadhasani¹ Habib Rajabi Mashhadi² Mohammad Khavari³

1- دانشگاه فردوسی مشهد 2- دانشگاه فردوسی مشهد 3- دانشگاه فردوسی مشهد

کلمات کلیدی :

Planned Outages،Multi-Objective Optimization،Load Shedding،Fairness،SAIDI،Wasserstein distance،NSGA-II،Distribution Networks،Optimal Scheduling

چکیده :

Severe energy imbalance in power systems can necessitate the use of planned and rotational outages to preserve network stability and ensure equitable service continuity. Designing such outage schedules is inherently complex, as operators must balance technical requirements with fairness and reliability considerations. This paper presents a multi-objective optimization framework for weekly scheduling of planned outages in a 20-feeder distribution network. Two objectives are pursued: (i) minimizing the System Average Interruption Duration Index (SAIDI) to reduce customer interruption-hours and naturally favor feeders with fewer, higher-consumption customers; and (ii) improving fairness across feeders by minimizing a Wasserstein-distance–based metric that quantifies similarity among their outage-time distributions. The formulation incorporates realistic operational constraints, including discrete outage durations, a single outage per feeder per day, hourly minimum curtailment requirements (floors), and a requirement that the effective weekly curtailed energy remains at least as high as the needed energy deficit— ensuring that the total shed energy meets the required curtailment level while respecting operational constraints. Customer load-shifting behavior is also considered. A customized NSGA-II algorithm is employed to generate a diverse Pareto-optimal set of feasible outage schedules. Since operators must ultimately implement one actionable plan, a Shapley-value–based decision mechanism is applied to the Pareto front to identify the most balanced final solution. Numerical results validate the effectiveness of the proposed approach in producing transparent, fair, and reliability-oriented planned outage schedules under energy deficit conditions.