Abhijit Chakrabarti
Bengal Engineering and Science University

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Power Generation Pricing Model Based on Long Rung Marginal Cost Methodology Priyanka Roy; Abhijit Chakrabarti
International Journal of Electrical and Computer Engineering (IJECE) Vol 2, No 2: April 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (94.211 KB)

Abstract

This paper proposes a long run marginal cost based formulation for reflecting the usage based pricing of electrical power. The aim of this paper is to develop a novel method that can price the real power on a long term basis in a multi-machine power system. The proposed method has shown that the cost of future investment is governed by the perturbation of generating power.  The economic efficiency of the proposed model is demonstrated in a 203 buses 267 lines 23 machines real power system of eastern part of India where total 23 generators are categorized in 5 types according to their ratings and analyzed the price at their optimal operating condition with 10% loading variation.DOI:http://dx.doi.org/10.11591/ijece.v2i2.191
Generator Contribution Based Congestion Management using Multiobjective Genetic Algorithm Sawan Sen; Priyanka Roy; Abhijit Chakrabarti; Samarjit Sengupta
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 1: April 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i1.635

Abstract

 Congestion management is one of the key functions of system operator in the restructured power industry during unexpected contingency. This paper proposes a method for generator contribution based congestion management using multiobjective genetic algorithm. In the algorithm, both real and reactive losses have been optimised using optimal power flow model and the contributions of the generators with those optimised losses are calculated. On second level, the congested lines are identified by the proposed overloading index (OI) during contingency and those lines are relieved with the new contribution of generators, which is the outcome of the developed algorithm. The planned method depicts the information related to congestion management to minimize the investment cost, without installing any external devices and to maximise the consumer welfare by avoiding any load curtailment without affecting the voltage profile of the system as well as the optimised total system loss. IEEE 30 bus system is used to demonstrate the effectiveness of the method.
Assessment of Voltage Stability Using Network Equivalent Priyanath Das; Sunita Halder nee Dey; Abhijit Chakrabarti; Tanaya Datta
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 3: December 2011
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v9i3.753

Abstract

 In this paper a fast system voltage stability index (FSVSI) has been proposed to assess overall system voltage stability of a multi-bus power system at a particular operating point using the concept of two bus network equivalent.  A universal direct voltage stability index has also been explored to assess local (DVSI) as well as overall system voltage stability (DSVSI). An index called system transmission quality factor (STQF) has been developed to assess the power transmission quality of the overall system in the context of voltage stability. Two FACTS controllers, TCSC and STATCOM have also been incorporated in the present study to observe their effectiveness to ensure voltage stabilty. STATCOM has been found to be superior in order to improve voltage stability of power system as compared to TCSC. The developed concept has been validated using practical India Easten Grid (WBSEB system) and it has a high potential of on-line application.