Showing 3 results for Jalilzadeh
S.jadid, S.jalilzadeh,
Volume 1, Issue 2 (April 2005)
Abstract
This paper presents a new composite index to analyze power system transient
stability. Contingency ranking in power system transient stability is a complicated and time
consuming task. To prevail over this difficulty, various indices are used. These indices are
based on the concept of coherency, transient energy conversion between kinetic and
potential energy and three dot products of the system variables. It is well known that some
indices work better than others for a particular power system. This paper along with test
results using two practical 230 kV Sistan and 400 kV Khorasan power system in Iran, and 9
bus IEEE test system demonstrates that combination of indices provides better ranking than
a single one. In this paper two composite indices ( CI ) is presented and compared. One
composite index is based on Least Mean Square algorithm (LMS) and other based on
summing indices by equal weights. Numerical simulations of the developed index,
demonstrate that composite index is more effective than other indices.
M. Alizadeh Moghadam, R. Noroozian, S. Jalilzadeh,
Volume 11, Issue 3 (September 2015)
Abstract
This paper presents modeling, simulation and control of matrix converter (MC) for variable speed wind turbine (VSWT) system including permanent magnet synchronous generator (PMSG). At a given wind velocity, the power available from a wind turbine is a function of its shaft speed. In order to track maximum power, the MC adjusts the PMSG shaft speed.The proposed control system allowing independent control maximum power point tracking (MPPT) of generator side and regulate reactive power of grid side for the operation of the VSWT system. The MPPT is implemented by a new control system. This control system is based on control of zero d-axis current (ZDC). The ZDC control can be realized by transfer the three-phase stator current in the stationary reference frame into d-and q-axis components in the synchronous reference frame. Also this paper is presented, a novel control strategy to regulate the reactive power supplied by a variable speed wind energy conversion system. This control strategy is based on voltage oriented control (VOC). The simulation results based on Simulink/Matlab software show that the controllers can extract maximum power and regulate reactive power under varying wind velocities.
N. Eskandari, S. Jalilzadeh,
Volume 12, Issue 4 (December 2016)
Abstract
Load side management is the basic and significant principle to keeping the balance between generation side and consumption side of electrical power energy. Load side management on typical medium voltage feeder is the power energy consumption control of connected loads with variation of essential parameters that loads do reaction to their variation. Knowing amount of load's reaction to each parameters variation in typical medium voltage feeder during the day, leads to gain Load Manageability Factor (LMF) for that specific feeder that helps power utilities to manage their connected loads. Calculating this LMF needs to find out each types of load with unique inherent features behavior to each parameters variation. This paper results and future work results will help us to catch mentioned LMF. In this paper analysis of residential load behavior due to temperature variation with training artificial neural network will be done. Load behavior due to other essential parameters variations like energy pricing variation, major event happening, and power utility announcing to the customers, and etc will study in future works. Collecting all related works results in a unit mathematical equation or an artificial neural network will gain LMF.
