Reliability Constrained DR and Reserve Allocation for Profit based UCP using Artificial Bee Colony Algorithm

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Author(s) K. Chandrasekaran, Sishaj P Simon
Pages 179-195
Volume 1
Issue 3
Date December, 2011
Keywords profit based unit commitment, spinning reserve, composite system reliability, demand response, loss of load probability
Abstract

The strategy of scheduling generators and reliability management of power system is changing rapidly due to deregulation. Here, generating companies schedule their generators with an objective to maximize their own profit without regarding social benefits. This paper proposes a binary artificial bee colony algorithm (BABC) for solving profit based unit commitment (PBUC) problem, where the required spinning reserve (SR) is effectively scheduled according to customers’ desired reliability level (CDRL). This approach gives an opportunity for the customers to declare their energy requirement and CDRL to the Independent system operator (ISO) through demand response provider (DRP). Therefore ISO has the responsibility for solving energy deficiency by implementing remedial actions such as rescheduling and/or accepting demand response (DR) offer based on CDRL and spot prices in the power market. The evaluation of the reliability index is based on loss of load method which includes both generator and transmission system outages. The proposed method is validated on 10 unit system and an IEEE RTS 24 bus system available in the literature.

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