Load behaviour prediction under blackout conditions using a fuzzy expert system

Mota, Lia Toledo Moreira; Mota, A.A.; Morelato, A.

doi:10.1049/iet-gtd:20050358

Cited by 16 publications

(18 citation statements)

References 5 publications

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“…Thermostatically controlled loads can be defined as appliances and devices, which states (turned on or off) are controlled by a thermostat or by temperature sensors, commonly related to thermal comfort (Adibi, 2000;Mota et al, 2007a;Kwong et al, 2009). Examples are refrigerators, air-conditioners, freezers and heating devices.…”

Section: Thermostatically Controlled Loadsmentioning

confidence: 99%

“…Recent examples of extensive interruptions in the energy supply are the blackouts that occurred in the United Kingdom, USA, Denmark, Sweden and Italy in 2003. In addition to new investments in research and device deployment to reduce the risk of new outages, the elaboration of reliable restoration plans is crucial to minimize the enormous social and economical possible impacts of blackouts (Adibi, 2000;Benachaiba and Ferdi, 2009;Mota et al, 2006;2007a;2007b;Barbuy et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…If an attempt is made to pick-up a larger load block than the one that can be accommodated by the response capability of the on-line generators, then blocks of load already restored can be lost, due to under-frequency load shedding. If the frequency swing is severe, some generators may trip precipitating another shut-down (Adibi, 2000;Mota et al, 2007a;2007b;Fernandes et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Problems of this nature can occur specially when reenergizing Thermostatically Controlled Devices (TCDs), since this type of load can present an unexpected power demand increase at the reenergization instant (Agneholm, 1999;Mota et al, 2007a). Consequently, forecasting the behavior of these devices can prevent overload problems and improve the reliability of power system restoration plans.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, forecasting the behavior of these devices can prevent overload problems and improve the reliability of power system restoration plans. Adibi (2000) and Mota et al (2007a) presents some methods that deal with this problem assuming aggregated loads constituted by groups of the same type of devices.…”

Section: Introductionmentioning

confidence: 99%

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Object Oriented Modeling of Thermostatically Controlled Devices for Cold Load Pick-up

Mota¹

2011

Journal of Computer Science

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Problem statement: During service restoration, the power level at buses can significantly differ from the one presented under steady-state conditions, demanding an amount of electric power significantly higher than the normal load. Hence, their post-outage behavior must be adequately forecasted in order to permit the development of reliable restoration plans, or to avoid inadequate actions that may lead to a subsequent shutdown of the electric power system. This problem is known in the literature as cold load pick-up and the thermostatically controlled loads can be pointed as the main responsible for this behavior. Approach: This study proposes a methodology to model the thermostatically controlled load behavior during the reenergization process, based on object oriented programming and the physical modeling of individual loads, avoiding the explicitly modeling of the electric distribution feeder. In this context, the load aggregation is also implemented using "feeder" classes in an hierarchical structure. Results: The methodology was tested considering distinct devices distributed along a hypothetical feeder and the results show the impacts of interruption duration and environmental temperature in the load behavior. Conclusion: The Cold-load phenomena can be successfully simulated based on physical parameters of thermostatically controlled loads using objectoriented programming, yielding satisfactory results. In special, the impacts of the environmental temperature in the load to be restored can be assessed in detail.

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Section: Thermostatically Controlled Loadsmentioning

confidence: 99%