Showing 2 results for A. Kazemi
A. Kazemi, A. Badri, S. Jadid,
Volume 1, Issue 4 (October 2005)
Abstract
In this paper, two vector control systems for investigating the performance of
Static Synchronous Series Compensators (SSSC) in steady state conditions are presented
that are based on famous d-q axis theory. The workability of proposed method to simplify
the SSSC mathematical expressions is shown. The performance of SSSC with two different
vector controllers, first based on d-q line currents(indirect control) and the second a
heuristic vector control based on real and reactive line powers (direct control), are
investigated through simulation. It is found that the new introduced direct control produces
better performance in controlling AC power system. Finally the simulation results of an
elementary two-machine system with SSSC in different cases are investigated.
A. Kazemi, Sh. Jadid, H. Andami,
Volume 3, Issue 1 (April 2007)
Abstract
Transmission loss allocation in very large networks with multiple interconnected
areas or countries is investigated in this paper. The main contribution is to propose a
method to calculate the amount of losses due to activity of each participant in the multi area
markets. Pricing of cross-border trades in Multi area systems is often difficult since
individual countries may use incompatible internal transmission pricing regimes, and they
are usually unwilling to disclose any sensitive information about their own systems.
A new methodology based on the loss formula concept for allocating electric losses to
generators and loads is presented in this paper. The only data required are the power flows
and characteristics of tie-lines and PV Ward equivalent model of area networks from border
nodes point of view. Proposed methodology is tested on the IEEE 118 node network which
is divided into three areas, each with a different internal transmission pricing methodology.
In the proposed methodology no information is required about individual loads, generations
or detailed internal networks. It is also shown to be simple, transparent and very fast and it
can deal effectively with multiple pricing policies.
