Dynamic load modelling and aggregation in power system simulation studies

Abdalla, Omar H.; Bahgat, Mohiy; Serag, A.M.; El-Sharkawi, M.A.

doi:10.1109/mepcon.2008.4562351

Cited by 14 publications

(4 citation statements)

References 18 publications

(20 reference statements)

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“…In [2], [3], the energy demand aggregation when industrial plants are integrated in the electricity network are studied, while [4] analyzes the economic effects of aggregation in residential areas. Here the model synthesizes a daily load profile based on load profiles of Dutch residential customers.…”

Section: Literary Reviewmentioning

confidence: 99%

Modeling energy demand aggregators for residential consumers

Bella

Giarré

Ippolito

et al. 2013

52nd IEEE Conference on Decision and Control

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Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand-response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can pay the energy demand aggregator to reduce the load by turning off some of its consumers loads or postponing their activation. Currently this operation involves only greedy energy consumers like industrial plants. In this paper we want to study the potential of aggregating a large number of small energy consumers like home users as it may happen in smart grids. In particular we want to address the feasibility of such approach by considering which scale the aggregator should reach in order to be able to control a significant power load.\ud The challenge of our study derives from residential users' demand being much less predictable than that of industrial plants. For this reason we resort to queuing theory to study analytically the problem and quantify the trade-off between load control and tolerable service delays

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Section: Literary Reviewmentioning

confidence: 99%

Modeling energy demand aggregators for residential consumers

Bella

Giarré

Ippolito

et al. 2013

52nd IEEE Conference on Decision and Control

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“…This paper demonstrates the importance of load modelling for SSR studies by simulating the impact of different load models on the torsional interactions, using EMT program. Static load models, like constant impedance type, are found to be fairly inadequate for capturing load and/or system dynamics/transients (suitable only for instantaneous responses) [2,3]. Dynamic load models, on the other hand, being described by differential equations exhibit timedependent responses that can capture dynamic responses pertaining to exchange of energy between the system and load (e.g.…”

Section: Introductionmentioning

confidence: 99%

Impact of load dynamics on torsional interactions

Dattaray

Wall

Terzija

et al. 2016

2016 Power Systems Computation Conference (PSCC)

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Abstract-This paper evaluates the impact of load dynamics on torsional interactions by considering a mix of static and dynamic loads aggregated at the bulk transmission level. This is essential to investigate the importance of detailed load modelling for subsynchronous resonance (SSR) studies to accurately assess damping contribution and capture system dynamics. SSR interaction with dynamic loads is investigated for both direct on line and drive connected motor loads. Damping contribution from dynamic loads is also assessed based on their location and size. The interaction of dynamic loads with classical SSR phenomenon is observed and introduced as the new concept of (Subsynchronous Resonance Load Interactions (SSR-LI)). SSR-LI assumes critical importance for scenarios where the load and generation centers are in close electrical proximity and impact of loads on torsional damping is significant. Finally, the scope for using existing converter interfaced motors for torsional mode damping has been discussed.Index Terms-Dynamic load, induction motor, static load, subsynchronous resonance (SSR), variable frequency drive.

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“…Our idea is designing a smart plug able to be easily connected to the Internet according to the M2M communication paradigm and to run customized applications, including the interruption and reactivation of the current flow as a response to a control protocol. The application can be defined and installed by the end users, by the energy utility itself or by some other entities like an energy aggregator [10], [11], [12]. It generally requires to interact with a remote server controlling a number of aggregated households or direclty with other households.…”

Section: Introductionmentioning

confidence: 99%

Smart plugs: A low cost solution for programmable control of domestic loads

Galioto

Giaconia

et al. 2014

2014 AEIT Annual Conference - From Research to Industry: The Need for a More Effective Technology Transfer (AEIT)

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Abstract-Balancing energy demand and production is becoming a more and more challenging task for energy utilities. This is due to a number of different reasons among which the larger penetration of renewable energies which are more difficult to predict and the meagre availability of financial resources to upgrade the existing power grid. While the traditional solution is to dynamically adapt energy production to follow the timevarying demand, a new trend is to drive the demand itself by means of Direct Load Control (DLC).In this paper we consider a scenario where DLC functionalities are deployed at a large set of small deferrable energy loads, like appliances of residential users. The required additional intelligence and communication capabilities may be introduced through smart plugs, without the need to replace older "dumb" appliances. Smart plugs are inserted between the appliances plugs and the power sockets and directly connected to the Internet. An open software architecture allows to abstract the hardware sensors and actuators integrated in the plug and to easily program different load control applications.

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Dynamic load modelling and aggregation in power system simulation studies

Cited by 14 publications

References 18 publications

Modeling energy demand aggregators for residential consumers

Modeling energy demand aggregators for residential consumers

Impact of load dynamics on torsional interactions

Smart plugs: A low cost solution for programmable control of domestic loads

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