Applications of artificial intelligence in power systems

Madan, Sanjeev; Bollinger, K.E.

doi:10.1016/s0378-7796(96)01188-1

Cited by 40 publications

(11 citation statements)

References 180 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…AI has been used continuously for a great amount of time, as reported by Madan and Bollinger [207]. Therefore, and following with Burt et al [208], expert systems can serve for maintenance and decision making, since they can learn from the alarms received.…”

Section: Power System Infrastructurementioning

confidence: 97%

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Hernández-Callejo

2019

Energies

View full text Add to dashboard Cite

New technological advances based on software, hardware and new materials must be implemented in smart grids. In addition, these advanced electrical grids must incorporate elements of artificial intelligence. Advances in software development must be complemented with the development of new hardware (power electronics and active distribution among others). The aforementioned must rely on the development of new materials and sensors, which should be integrated into the smart grid. Therefore, the four areas of research based on the technologies are: Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering. The review presents the algorithms, materials, devices and others paradigms applied to smart grids, classifying the works according to the four areas of research. This review has focused on the four fundamental pillars of smart grids, on the one hand, the need for more efficient operation and control, followed by advanced maintenance management, to continue planning and designing the new grids, and for conclude with the advanced measurement. As you will see in the article, new devices, new techniques, and future scenarios will make possible the transition from the current grid to the future smart grid.

show abstract

Section: Power System Infrastructurementioning

confidence: 97%

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Hernández-Callejo

2019

Energies

View full text Add to dashboard Cite

show abstract

“…To assess the system transient stability performance, the simplest and widely used test system is adopted in [ 6 , 15 – 17 ] and a short circuit fault is simulated on one of the lines between Bus A and Bus D ( Figure 2 ).…”

Section: Evaluation Of System Transient Stabilitymentioning

confidence: 99%

Doubly Fed Induction Generator Wind Turbines with Fuzzy Controller: A Survey

Sathiyanarayanan

Kumar²

2014

The Scientific World Journal

View full text Add to dashboard Cite

Wind energy is one of the extraordinary sources of renewable energy due to its clean character and free availability. With the increasing wind power penetration, the wind farms are directly influencing the power systems. The majority of wind farms are using variable speed wind turbines equipped with doubly fed induction generators (DFIG) due to their advantages over other wind turbine generators (WTGs). Therefore, the analysis of wind power dynamics with the DFIG wind turbines has become a very important research issue, especially during transient faults. This paper presents fuzzy logic control of doubly fed induction generator (DFIG) wind turbine in a sample power system. Fuzzy logic controller is applied to rotor side converter for active power control and voltage regulation of wind turbine.

show abstract

“…The long‐term scheduling problem tackles fuel allocation, emission, budgeting, production, and maintenance costing . The solutions obtained from LTMS can then be used as guidelines and bases for addressing unit commitment and optimal power flow problems . The objective of short‐term maintenance scheduling (STMS) is to minimize the cost of operation over hourly, daily or weekly periods.…”

Section: Literature Reviewmentioning

confidence: 99%

Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied

Niazi

Badri

Khoshnoud

2014

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

Summary Most generation and transmission maintenance scheduling (GTMS) packages consider preventive maintenance scheduling over a 1‐ or 2‐year time horizon to lessen the total operation costs while fulfilling system energy requirements. This paper proposes a security‐constrained model for the GTMS problem. For a more realistic study, system reliability indices such as amount of not supplied energy are taken into account. The impact of load curve on the GTMS problem is investigated by a penalty factor. Unlike some previous studies that consider a fixed period for all unit maintenance windows, here various maintenance windows are considered for the system that is more realistic. Considering the problem that contains integer variables and taking into account the proposed model that is based on optimal generation and maintenance costs, mixed integer programming is employed to obtain the most accurate results by branch‐and‐bound algorithm. An IEEE 24‐bus reliability test system is employed for simulation and to show the accuracy of results. As demonstrated, system's security and reliability constraints like penalty factor, transmission safety, and energy not supplied may affect GTMS and alter system maintenance and operation costs. These strategies may lead to increases in unit operation or maintenance costs while varying units and transmission maintenance scheduling. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Applications of artificial intelligence in power systems

Cited by 40 publications

References 180 publications

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids

Doubly Fed Induction Generator Wind Turbines with Fuzzy Controller: A Survey

Annual coordinated generation and transmission maintenance scheduling considering network constraints and energy not supplied

Contact Info

Product

Resources

About