Showing 3 results for Badri
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. Badri, S. Jadid, M. Parsa-Moghaddam,
Volume 3, Issue 1 (April 2007)
Abstract
Unlike perfect competitive markets, in oligopoly electricity markets due to
strategic producers and transmission constraints GenCos may increase their own profit
through strategic biddings. This paper investigates the problem of developing optimal
bidding strategies of GenCos considering participants’ market power and transmission
constraints. The problem is modeled as a bi-level optimization that at the first level each
GenCo maximizes its payoff through strategic bidding and at the second level, in order to
consider transmission constraints a system dispatch is accomplished through an OPF
problem. The AC power flow model is used for proposed OPF. Here it is assumed that each
GenCo uses linear supply function model for its bidding and has information about initial
bidding of other competitors. The impact of optimal biddings on market characteristics as
well as GenCos’ payoffs are investigated and compared with perfect competitive markets
where all the participants bid with their marginal costs. Furthermore, effects of exercising
market power due to transmission constraints as well as different biddings of strategic
generators on GenCos’ optimal bidding strategies are presented. Finally IEEE-30 bus test
system is used for case study to demonstrate simulation results.
S. Arefi Ardakani, A. Badri,
Volume 13, Issue 4 (December 2017)
Abstract
Today due to increasing and evolving of electrical grids, the optimal and profitable energy production is among producers' major concerns. Thus, conventional ways of production and trading energy are being replaced by modern economical procedures. In addition, distributed energy resources (DERs) in form of renewable and conventional resources as well as responsive loads play an important role in this issue. The mutual problem of DERs in joining power market is their rather small production compared to other units and intermittency of the corresponding resources. Forming coalition is an effective way to overcome DER difficulties for participating in power market. In this paper the problem of optimal bidding strategy of DERs integrated as a virtual power plant is investigated. Based on the proposed method, cooperative game is employed to obtain optimal DER outputs and the results are compared with individual non-cooperative bidding model. In order to mitigate the intermittent nature of renewable energies, existence of electric vehicles (EVs) as energy storage facilities in the proposed coalition is investigated. Due to the associated uncertainties regarding EVs and DERs, a stochastic optimization model is used. Finally, Shapley value method is employed to obtain corresponding allocated profits. Results show the eminence of forming coalition in terms of acquiring payoffs and optimal contributions.
