Congestion Management Considering Economic and Efficient Generation Rescheduling
N. Srilatha1, B. Priyanka Rathod2, G. Yesuratnam3
1N. Srilatha, Osmania University, Hyderabad (Telangana), India.
2B. Priyanka Rathod, Osmania University, Hyderabad (Telangana), India.
3G. Yesuratnam, Osmania University, Hyderabad (Telangana), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 27 June 2019 | Manuscript Published on 04 July 2019 | PP: 52-57 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10100681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Increasing interconnections and usage of power networks makes the system to work at almost full loading capacities. Any type of disturbance in such scenario results in congestion of the existing network. This condition, if not managed within required time may result in system collapse. This paper presents a simple and economic transmission line overload alleviation method that is very much required in day-to-day operation and control of power systems. This method of managing the congestion aims primarily at improving the voltage stability of the system while relieving the overload and does this economically to the possible extent. Relative Electrical Distances (RED) between the loads and generators is the criterion for relieving the overload in a transmission line, by rescheduling the generation. The process of rescheduling is done economically by making use of fuzzy logic considering the incremental fuel costs of the generators. This method is illustrated using IEEE 39-node New England system and a real-life system, 75-node North Indian power system.
Keywords: Congestion Management, Generation Rescheduling, Voltage Stability, Fuzzy Logic.
Scope of the Article: Next Generation Internet & Web Architectures