This paper deals with the performance study of the self-excited
induction generator when driven by wind turbine for producing
electrical energy. This was done by modeling both the induction
generator and the wind turbine using the Matlab program,
and
depending on the general theory of electrical machines. method for
this system by studying together the mechanical characteristics of
the wind turbine and operating characteristics of the induction
generator.
This paper introducesa new expert system (ES) for faulted section determination in
electrical power system andinterpretingthe performance of the protective system (relays
and circuit breakers). The introducedESrequiresinformation about the power sy
stem
configuration and about the contacts status (open/closed) of the circuit breakers and
protective relays. It can determine the faulted section quickly and accurately for all types
of faults including simultaneous faults. It is general, i.e.it can be usedwith any power
system,due to the separation between the Facts and Rules. The introducedES isdeveloped
and tested by CLIPS environment (C Language Integrated Production System) which uses
forward chaining to derive conclusion.
The performance of the introduced ES is tested for several power systems, IEEE–6 bustest
system, IEEE–9 bustest system andIEEE–14 bustest system, and it shows a distinct
performance for all tested systems. But for space limitation, we present in this paper the
performance results of the introduced ES for the IEEE–9 bustest system only.
Through our research we develop an Expert System called
Transformer Fault Detection and abbreviation Exformer, to help
engineers and technical's in detecting and diagnosis of oiled power
transformer faults before it going out of service. We also u
se Fuzzy
Logic in ambiguous data cases about gas ratios in transformer oil,
which require use of fuzzy rules in knowledge base of expert
system. We also discuss basis of using Artificial Neural Networks
and choose number of layers, number of neurons and suitable neural
network for power transformers faults analysis and compare.
Solar and wind energy is considered as one of the best renewable energy resources
because it Available and economical . We can take advantage of these two resources of
renewable energy in Katina area in Homs for designing and building a bilateral r
esources
(solar-wind) electric power system, depending on the daily bending of the wind speed and
the solar radiation intensity in the studied area.
This research studies the design of a hybrid wind and solar system by selecting its
components that available in the local market in terms of their nominal, technical
specifications, based on the technical and economic studies and the corresponding
international standards. The obtained results showed that we have approximately (1246.7
Kw/Year) surplus during the year for the benefit of consumers, which makes the system
economically feasible for investment, as explained in research needs an additional resource
to feed the load and charge the energy-savings with (3360.2 w/day) that constituting (50.4
%) of the volume of the load in addition to the practical results provides a theoretical
database, whether for the researcher or the investor in the field of renewable energies,
particularly in terms of the efficiency of selecting the system’s components.
The study seeks to determine the real time in electrical power system, which consists of
generating, transmitting and distributing equipment by using redistributing active power of
electrical generators in order to organizing the overload operation
of electrical power
transmission line loading in such case that the spare loads of electrical station are not
covering the important and necessary loads at failures.
The most of laws related to electrical power systems design indicated to proper ratio of
real time of electrical power system equipment along with characteristics of probability
distributed functions in addition to statistics methods which give a high possibility to
reduce the real time of considered loads; so; this leads to the requested solutions which
reduce the damage of failures at any time.
Unified Power Flow Controller (UPFC) is one of the most effective Flexible AC
Transmission Systems (FACTS) devices for controlling power flow and improving stability
of power system. To achieve the functionality of UPFC, a proper and sufficient con
trol
system should be designed for this device. Our research proposes a Fuzzy Logic control
approach to control UPFC. The proposed control scheme is used to control and coordinate
voltage and phase angle signals of Voltage Source Converters (VSCs) of UPFC, where
these two signals are used to control active and reactive power flow in transmission line.
To validate the proposed control scheme, a single-machine double line infinite bus power
system equipped with UPFC is modeled using PSCAD/EMTDC software package. Three
phase fault with ground case is simulated and investigated under the proposed controller.
The modeling and simulation results show the effectiveness of the UPFC under the
proposed control scheme for improving power system stability under the three phase fault
case. The results also show the robustness and superiority of the proposed controller
compared to conventional PI controller as well as it guarantees the closed-loop stability
system and has a good tracking behavior.
Efforts are being made to connect many wind farms to Syrian electrical network As of Wind turbine the
increases; their Cumulative impact on dynamic operational characteristics of power system will increase.
In this paper, the impact of constant spe
ed wind turbines utilizing squirrel cage induction generators, the
most worldwide spread nowadays, on the transient stability of Syrian power system is analyzed.
Various aspects have been considered like wind turbine penetration level, fault location on power system
overhead lines and network topology transforming.
Results of this study show that wind turbine farms planned to be connected to Syrian electrical network
will have significant impact in improving transient stability parameters (CCT,d).
As the wind turbine penetration level increases, their impact will increase, but still remain dependent on
the fault location and network topology transforming caused by double circuits of overhead lines.
