Abstract
Restructured electric market environment allows the power wheeling transactions between the power producers and customers to meet the growing load demand. This will lead to the possible of congestion in the transmission lines. The possible contingencies of power components further worsen the scenario. This paper describes the methodology for the identification of critical transmission line by computing the real power and reactive power performance indices. It also demonstrates the importance of fuzzy logic technique used to rank the transmission lines according to the severity and demonstrated on IEEE-30 bus system.
Highlights
Most of the electric utilities across the world are undergoing restructured process to meet the growing load demand
In the power exchange structure, the system operator allows the wheeling transactions without major tasks, but in the power pool structure the system operator has to check out the security of the transmission lines by allowing these transactions
The intuition of this paper is to identify the critical lines and monitor the power flow in the restructured power market environment with wheeling transactions
Summary
Most of the electric utilities across the world are undergoing restructured process to meet the growing load demand. This will introduce competition in generation, transmission and distribution sectors. This competitive environment provides the platform to deliver the power efficiently by the power producers at affordable price for the customers. This restructured power market structure allows the power transactions between the power pro-. The feasibility of wheeling transaction in the competitive restructured power market is very high. The system operator must do the power flow analysis with the transactions and check out the feasibility condition of the network
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