Voltage and Frequency Stability in Restructured Power System with Demand Side Load Shift
Keywords:
AC induction motor, Dynamic breaking, Droop control, Field oriented control, Regenerative breakingAbstract
An advanced hybrid technique for reliability improvement of restructured power system using
artificial intelligence algorithms and droop logic, demand side load management with hybrid
renewable and grid power generation has been proposed. MATLAB along with GUIDE (Graphical
User Interface Design Environment) has been used for implementing the model which represents
the demand side management.
How to cite this article:
Vijay M, Gupta RK, Swarnkar NK. Voltage and Frequency Stability in Restructured Power System with
Demand Side Load Shift. J Adv Res Power Electro Power Sys 2017; 4(1&2): 12-19
References
Chung-Ching C, Gorinevsky D. Stability analysis of
distributed power generation with droop
inverters. Transactions on Power Systems 2015;
(6): 1-9.
Roozbehani M, Dahleh MA, Mitter SK. Volatility of
power grids under real time pricing. Transactions
on Power Systems 2012; 27(4): 1926-40.
Zhu Y, Azim R, Saleem HA, et al. Microgrid security
assessment and islanding control by support
vector machine. Power and Energy Society
General Meeting, Denver, USA. 2015. DOI: 10.
/PESGM.2015.7286264.
Vu TL, Turitsyn K. A framework for robust
assessment of power grid stability and resiliency.
Transactions on Automatic Control, 2016.
Omer A, Ghosh S, Kaushik R. Indian power system:
issues and opportunities. International Journal of
Advanced Research in Electrical, Electronics and
Instrumentation Engineering 2013; 3(2): 1089-94.
Mishra AS, Agnihotri G, Patidar NP, et al. Impacts
of distributed generation in restructured power
system. Available from: http://csjournals.com/
IJITKM/Special1/30.%20Impacts%20of%20Distrib
uted.pdf.
Chuang AS, Gellings CW. Demand-Side integration
in a Restructured electric power industry. CIGRE,
Paris, 2008.
Ashtekar Y, Dhole G. Effect of demand side
management on present Indian power sector
Scenario. International Journal of Innovative
Research in Science, Engineering and Technology
; 4(2): 360-5
Rohilla V, Parmar KPS, Saini S. Optimization of
AGC parameters in the restructured power
system environment using GA. International
Journal of Engineering Sciences and Emerging
Technologies 2012; 3(2): 30-40.
Behmaneshfar MZ, Shojaeian S, Behmaneshfar A.
Estimating optimal size of GENCOs in a
restructured power system, in order to improve
reliability, based on Monte Carlo and sensitivity
analysis methods. Research Journal of Recent
Sciences 2014; 3(8): 74-9