Congestion management under conditions of uncertainty with the load shedding option and variance risk tolerance index.

Articles in Press

Document Type : Original Article

Authors

1 Tehran Jalal AleAhmad Nasr P.O.Box: 14115-111

2 Tarbiat Modares University

Abstract

With the transformation of traditional distribution networks (DNs) into active DNs, the possibility of congestion has increased. Also, the presence of uncertainty in factors such as electric car charging or solar panels, causes the predictability of congestion in the DN to decrease and the occurrence of congestion can be expressed as a probability. These cases have increased the concern of distribution system operators for the occurrence of congestion in DNs and also, for managing the amount of congestion with minimum costs. Therefore, providing solutions for congestion management in the shortest time and cost is a priority for operators. In this article, a solution for congestion management based on load shedding while considering the uncertainties of electric vehicles and solar panels is presented. At first, to estimate the amount of depth and time of congestion, modeling of congestion is done through probabilistic power flow. The evaluation of the proposed method in the Modified IEEE 33-bus home DN, while proving its effectiveness, shows that by using that, the operator performs the load shedding by minimizing their costs through improved multi-interval optimal power flow, and the amount of possible congestion is reduced depending on the level of risk-taking of the operator.

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Tabriz Journal of Electrical Engineering

Articles in Press, Corrected Proof
Available Online from 08 June 2025

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