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This paper proposes various design procedures for computing Power System Ancillary Service Requirement Assessment Indices (PSASRAI) for a Two-Area Thermal Reheat Interconnected Power System (TATRIPS) in a restructured environment. In an interconnected power system, a sudden load perturbation in any area causes the deviation of frequencies of all the areas and also in the tie-line powers. This has to be corrected to ensure the generation and distribution of electric power companies to ensure good quality. The disturbances to the power system due to a small load change can even result in wide deviation in system frequency which is referred as Load-Frequency Control (LFC) problem. Quick system restoration is of prime importance not only based on the time of restoration and also stability limits also plays a very vital role in the power system operation even for the unexpected load variations in power systems. As the simple conventional Proportional plus Integral (P-I) controllers are still popular in power industry for frequency regulation as in case of any change in system operating conditions new gain values can be computed easily even for multi-area power systems, this paper focus on the computation of various PSASRAI for Two Area Thermal Reheat Interconnected Power System in restructured environment based on the settling time and peak over shoot concept of control input deviations of each area. Energy storage is an attractive option to augment demand side management implementation, so Superconducting Magnetic Energy Storage (SMES) unit can be efficiently utilized to meet the peak demand. So the design of the Proportional plus Integral (PI) controller gains for the restructured power system without and with SMES unit are carried out using Bacterial Foraging Optimization (BFO) algorithm. These controllers are implemented to achieve a faster restoration time in the output responses of the system when the system experiences with various step load perturbations. In this paper the PSASRAI are calculated for different types of possible transactions and the necessary remedial measures to be adopted are also suggested. Key-Words: Bacterial Foraging Optimization, LoadFrequency Control, Superconducting Magnetic Energy Storage, Proportional plus Integral Controller, Restructured Power System, Ancillary Service, Power System Ancillary Service Requirement Assessment Indices.

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Computation of Ancillary Service Requirement Assessment Indices for Load Frequency Control in a Restructured Power System using SMES Unit and SCES Unit