Locational Marginal Pricing Based Management of Congestion with Optimum Sizing of Distributed Generator using Modified ILSHADE Algorithm

The transmission system's congestion has been aggravated by the integration of high-level renewable energy in the form of distributed generation, increasing load demand, and the ageing of the transmission network. This necessitates transmission network operators to utilize existing infrastructure facilities by employing cost-effective new transmission technologies, so as to maximise the system's potential for delivering. Congestion in the network may lead to inefficient operations or breakdowns including an outage of the linked system and network disruptions. The goal of this study is to solve the problem of congestion which may be due to sudden increase of load demand by rescheduling generators in the most efficient way possible, as well as optimal placement of distributed generator (DG) on the basis of Locational Marginal Pricing (LMP) including determination of optimal sizing of DG by the Modified IL Shade algorithm satisfying load demand. As a consequence, there will be effective congestion management, less real power loss, and an improved voltage profile, as well as an estimate of any future load that may be accommodated. On a typical IEEE-39 bus system, the validation of the proposed technique is successfully assessed in a Matlab framework through the MATPOWER tool.