Energy efficient home with price sensitive stochastically programmable TCAs

Vivekananthan, Cynthujah; Mishra, Yateendra; Rajashekara, Kaushik

doi:10.1109/iecon.2014.7049318

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Furthermore, DSM can perform load shedding to maintain the frequency of the power system in a relatively more cost effective way. Cost-based incentives such as interruption compensation and/or upfront payment can be offered to customers to encourage them to participate in demand management programs [19] [20] [21]. On the other hand, DSM has this potential to act as spinning reserve for the power grid and participate in stabilising the frequency.…”

Section: Introductionmentioning

confidence: 99%

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Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Ashourpouri

Ghosh

Rajakaruna

2018

International Journal of Emerging Electric Power Systems

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Aggregated loads play a significant role in maintaining the frequency of power system when the generation is not able to follow frequency deviations. An automatic Demand Dispatch (DD) enables the power system to employ the aggregated loads for balancing demand and supply. In this paper, a Demand Side Frequency Droop (DSFD) has been proposed which provides ancillary service to the grid and maintains the frequency of the power system when the generation system is not capable of following the demand. At the time of a frequency fall/rise, Balancing Authority (BA) can detect aggregated load or group of aggregated loads that have power consumption above or below their standard maximum/minimum consumption levels. Then, the BA issues a droop-based signal to the relevant aggregator. Afterwards, the DSFD will be implemented in the aggregator or the group of aggregators to specify the required power consumption amount for bringing the frequency back to its rated level. Subsequently, this signal will be sent to the Appliance Management Unit (AMU) at each participating house. The AMU sends the signal in the form of deferral or interruptible commands to the appliances depending on the priority, availability and the specification of the appliances. It will be demonstrated that the proposed DSFD control maintains the frequency of the power system within a specified range.

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Section: Introductionmentioning

confidence: 99%

“…: 23 (21) where tcycle,dw is 2:00 hr. These constraints shall be considered according to the consumers' satisfactions.…”

mentioning

confidence: 99%

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Ashourpouri

Ghosh

Rajakaruna

2018

International Journal of Emerging Electric Power Systems

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confidence: 99%

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Ashourpouri¹,

Ghosh²,

Rajakaruna³

2019

Energyo

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“…The topic of this discussion focuses on protection against short circuit line fault, and ground fault [154]. These faults can occur at output terminals, loads and switching devices, and severely damage a DC system [80]. These faults can be mitigated by including fault protection such as traditional arcing-type circuit breakers, or more advanced protection strategies as in [154] and [189].…”

Section: Nanogrid/ac Nanogrid Comparisonmentioning

confidence: 99%

Nanogrid topology, control and interactions in a microgrid structure

Burmester¹

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<p>Distributed generation, in the form of small-scale photovoltaic installations, have the potential to reduce carbon emissions created by, and alleviate issues associated with, centralised power generation. However, the major obstacle preventing the widespread integration of small-scale photovoltaic installations, at a residential level, is intermittency. This thesis addresses intermittency at a household/small community level, through the use of "nanogrids". To date, ambiguity has surrounded the nanogrid as a power structure, which is resolved in this thesis through the derivation of concise nanogrid definition. The nanogrid, a power distribution system for a single house/small building, is then used to implement demand side management within a household. This is achieved through the use of a hybrid central control topology, with a centralised coordinating controller and decentralised control nodes that have the ability to sense and modulate power flow. The maximum power point tracker is used to observe the available photovoltaic power, and thermostatically controlled loads present in the household are manipulated to increase the correlation between power production and consumption. An algorithm is presented which considers the expected power consumption of the thermostatically controlled loads over a 24 hour period, to create a hierarchical ratio. This ratio determines the percentage of available photovoltaic power each load receives, ensuring the loads that are expected to consume the most power are serviced with the largest ratio of photovoltaic power. The control system is simulated with a variety of household consumption curves (altered for summer/winter conditions), and a week of realistic solar irradiance data for both summer and winter. In each simulated scenario, a comparison was made between controlled and uncontrolled households to ascertain the extent grid power consumed by a household could be reduced, in turn reducing the effect of intermittency. It was found that the system had the ability to reduce the grid power consumed by as much as 61.86%, with an average reduction of 44.28%. This thesis then explores the concept of interconnecting a small community of nanogrids to form a microgrid. While each nanogrid within the network has the ability to operate independently, a network control strategy is created to observe the possibility of further reducing grid power consumed by the community. The strategy considers the photovoltaic power production and thermostatically controlled loads operating within the network. A ratio of the network's photovoltaic power is distributed to the thermostatically controlled loads, based on their expected consumption over a 24 hour period (highest consumption receives largest ratio of power). This was simulated with a range of household cluster sizes, with varied consumption patterns, for a week with summer/winter solar irradiance. The tests show that, compared to an uncontrolled nanogrid network, the combined control can reduce grid power consumed by as much as 55%, while a 7% decrease is seen when comparing the combined control to the individually controlled nanogrid networks. When compared to an uncontrolled individual house scenario, the combined control interconnected nanogrids can reduce the power purchase from the grid by as much as 61%.</p>

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Energy efficient home with price sensitive stochastically programmable TCAs

Cited by 5 publications

References 15 publications

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Droop based Demand Dispatch for Residential Loads in Smart Grid Application

Nanogrid topology, control and interactions in a microgrid structure

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