Smart demand side management of low-voltage distribution networks using multi-objective decision making

Shahnia, Farhad; Wishart, Michael; Ghosh, Arindam; Ledwich, Gerard; Zare, Firuz

doi:10.1049/iet-gtd.2011.0781

Cited by 31 publications

(18 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A simple distribution system with 30 houses connected to a 500 kVA transformer built by the authors in [18] is chosen for this study, to verify the efficacy of proposed pricing scheme for demand response. MATLAB is used to perform the simulations.…”

Section: Simulation Resultsmentioning

confidence: 99%

A novel real time pricing scheme for demand response in residential distribution systems

Vivekananthan

Mishra

Ledwich

2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Self Cite

View full text Add to dashboard Cite

Price based technique is one way to handle increase in peak demand and deal with voltage violations in residential distribution systems. This paper proposes an improved real time pricing scheme for residential customers with demand response option. Smart meters and in-home display units are used to broadcast the price and appropriate load adjustment signals. Customers are given an opportunity to respond to the signals and adjust the loads. This scheme helps distribution companies to deal with overloading problems and voltage issues in a more efficient way. Also, variations in wholesale electricity prices are passed on to electricity customers to take collective measure to reduce network peak demand. It is ensured that both customers and utility are benefitted by this scheme.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

A novel real time pricing scheme for demand response in residential distribution systems

Vivekananthan

Mishra

Ledwich

2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…To model the uncertainties of the residential loads, the method presented in [20] is utilized which models each electric appliance in every house. It is considering different criteria such as the normal distribution of the power consumption of each appliance, random turning on/off time of each appliance, the presence of people in the house throughout the 24 h period, the ambient temperature on the operation time of the air conditioners, water-heaters, etc.…”

Section: Monte Carlo-based Stochastic Analysismentioning

confidence: 99%

“…Let us assume that a 150 kVA, 11 kV /415 V transformer supplies 30 houses, distributed equally among the phases. The residential load profiles used in this analysis are calculated from the residential load modelling presented in [20]. As an example, the load profile of all houses are demonstrated in time-domain in Fig.…”

Section: Performance Evaluationmentioning

confidence: 99%

Monte Carlo-based Stochastic Analysis Results for Coordination of Single-Phase Rooftop PVs in Low Voltage Residential Networks

2015

View full text Add to dashboard Cite

Installation of single-phase rooftop photovoltaic (PV) systems in low voltage (LV) residential feeders without controlling their ratings and locations may deteriorate the overall grid performance including reversed power flows, high losses and unacceptable voltage profiles. Therefore, in recent years the utilities have adopted limitations on the maximum allowable number of PVs in LV networks. To overcome these issues, this paper investigates the performance of a communication-based and intelligent voltage profile regulating technique under a Monte Carlo-based stochastic framework. This technique is applicable for LV residential feeders with single-phase rooftop PVs and relies on the availability of smart meters along the LV feeder to transmit phase voltage measurements to the controllers of the PV inverters. The objective of the voltage regulation technique is to minimize voltage unbalance along the feeder. The effectiveness of the voltage regulation technique are investigated in this paper by the help of MATLAB-based simulation studies.

show abstract

“…Previous works [2], [3], [4], and [5] have considered the impacts of the EV charging loads to the loading and aging of the DTRs. However, [3], [6], and [7] have considered the voltage imbalance impact, which results from the fact that there are three phases in low voltage distribution networks and household are mostly connected to single phase.…”

Section: Introductionmentioning

confidence: 99%

Impacts of home electric vehicle chargers on distribution transformer in Thailand

Sonsaard

2015

2015 6th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES)

View full text Add to dashboard Cite

We study impacts of electric vehicle (EV) home chargers on a typical three-phase distribution transformer (DTR) in distribution grid. We focus on the DTR loading and voltage imbalance. We focus on the distribution grid operated by the Provincial Electricity Authority (PEA), which is a major utility provider in Thailand. We determine the maximum number of the EV chargers that can be supported by a DTR assuming the current typical base load profile and no coordinated charging scheduling exists (that is, the EV chargers start operation right at the time they are plugged in). For the typical base load profiles, we found that that DTR loading is more critical than the voltage imbalance and the maximum number of EV's per phase is 3, 6, 10, and 14 for the 50, 100, 160, and 250 kVA DTR, respectively.

show abstract

Smart demand side management of low-voltage distribution networks using multi-objective decision making

Cited by 31 publications

References 27 publications

A novel real time pricing scheme for demand response in residential distribution systems

A novel real time pricing scheme for demand response in residential distribution systems

Monte Carlo-based Stochastic Analysis Results for Coordination of Single-Phase Rooftop PVs in Low Voltage Residential Networks

Impacts of home electric vehicle chargers on distribution transformer in Thailand

Contact Info

Product

Resources

About