Analysis of Residential Demand Response and double-auction markets

Fuller, Jason C.; Schneider, Kevin P.; Chassin, David P.

doi:10.1109/pes.2011.6039827

Cited by 145 publications

(90 citation statements)

References 9 publications

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“…A plot of this distribution is shown in Figure 2 Additionally, pre-cooling and pre-heating were not used in this analysis, as they are not appropriate for this type of price response due to the potential for a significant increase in energy consumption during relatively low price periods. More detailed descriptions about the operation of the automated thermostat can be found at [11]- [13]. It is important to note that when prices are continuous, such as those found in retail Real-Time Pricing (RTP) programs, the mapped response of setpoints to price is a continuous function.…”

Section: Heating Ventilation and Air Conditioningmentioning

confidence: 99%

Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

Fuller¹,

Vyakaranam²,

Kumar³

et al. 2012

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SummaryThe widespread adoption of demand response (DR) enabled appliances and thermostats can result in a significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE Appliances has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information received from the utility grid, often in the form of price or grid status. However due to a number of factors, including the number of DR-enabled appliances available at any given time, the reduction of diversity factor due to the synchronizing control signal, and the percentage of consumers who may override the utility signal, it can be difficult to predict the aggregate response of a large number of residences. The effects of these behaviors can be modeled and simulated in the Pacific Northwest National Laboratory (PNNL) developed open-source software, GridLAB-D™, including evaluation of the appliance controls, improvement to current algorithms, and development of aggregate control methodologies.This report is the first in a series of three reports describing the potential of GE Appliances' DR-enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The second and third reports will explore the potential of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation and the effects on volt-var control schemes.In Section 2, the effects and potential benefits of appliances on the power system were studied by modeling GE Appliances' DR-enabled appliances in GridLAB-D. GridLAB-D is an open-source, state-of-the-art software designed at PNNL for the Department of Energy's Office of Electricity Delivery and Energy Reliability to simulate the complexities of the smart grid from the substation down to the end-use load. Multi-state appliance models were used to represent not only the baseline instantaneous power demand and energy consumption, but the control systems developed by GE Appliances. This enabled the modeled appliances to respond to load reduction signals, as well as the change in behavior of the appliance in response to the signal. This included the power and energy consumption and the time horizon over which they operate for the various operational modes, and how changes in the DR control signal affect load behavior. This gives insight into the potential for short term versus longer term reduction in power consumption, and allows for exploration of different DR control signals without developing a new model for each case. Additionally, it gives insight into how to improve the effectiveness of the DR-enabled appliances...

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Section: Heating Ventilation and Air Conditioningmentioning

confidence: 99%

Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

Fuller¹,

Vyakaranam²,

Kumar³

et al. 2012

View full text Add to dashboard Cite

show abstract

“…5 The AMES ISO then clears the day-ahead market on day 2, resulting in 24 hourly energy prices (LMPs) and 24 hourly energy dispatch levels scheduled for the next day 3. These LMPs determine the costs paid by LSEs on day 2 for their cleared hourly energy demand bids for day 3.…”

Section: Simulation Methodologymentioning

confidence: 99%

“…Schneider et al [3] use the set-point adjustment method to study the effects of pricesensitive HVAC demand on the operations of a distribution feeder, where retail prices are exogenous values set by the modelers. Zhou et al [4] extend these studies by using realtime price realizations to test the effects of price-sensitive HVAC demand, whereas Fuller et al [5] use a price realization from a double-auction capacity management market.…”

Section: Introductionmentioning

confidence: 99%

Effects of price-responsive residential demand on retail and wholesale power market operations

Thomas

Cai

Aliprantis

et al. 2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-This paper describes a computational platform for studying the effects of price-responsive residential demand for air-conditioning (A/C) on integrated retail and wholesale power market operations. The physical operations of the A/C system are represented by means of the physics-based equivalent thermal parameter model. Residential A/C energy usage levels are determined by means of a stochastic dynamic-programming optimization in which the daily comfort attained by the resident is optimally traded off against his daily energy costs, conditional on retail energy prices, environmental conditions, and A/C operational constraints. An example is provided to illustrate the dynamic feedback loop connecting residential A/C load, the energy prices determined at wholesale conditional on A/C load, and the retail energy prices offered to residential A/C consumers by wholesale energy buyers.

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“…Reference [19] demonstrates the effects of a double-auction market on the operation of distribution systems. The paper introduces the need for analytical models at multiple levels within the simulation through a demand response program utilizing distributed and centralized control.…”

Section: Pilot Projects With Transactive Controlmentioning

confidence: 99%

Transactive energy: A review of state of the art and implementation

Liu

Huang

et al. 2017

2017 IEEE Manchester PowerTech

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Abstract-In future smart grids, large-scale deployment of distributed energy resources (DERs) and renewable energy sources (RES) is expected. In order to integrate a high penetration level of DERs and RES in the grid while operating the system safely and efficiently, new control methods for power system operations are in demand so that the flexibility of the responsive assets in the grid can be further explored. Transactive control, considered as one of the most novel distributed control approaches for power system operations, has been extensively discussed and studied around the world in recent years. This paper provides a bibliographical review on the researches and implementation of the transactive energy concepts and transactive control techniques in power systems. The ideas of transactive control are introduced mainly according to the transactive energy framework proposed by the GridWise Architecture Council. The implementation pilots and research studies on transactive control applications in power systems are reviewed subsequently.

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Analysis of Residential Demand Response and double-auction markets

Cited by 145 publications

References 9 publications

Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

Modeling of GE Appliances in GridLAB-D: Peak Demand Reduction

Effects of price-responsive residential demand on retail and wholesale power market operations

Transactive energy: A review of state of the art and implementation

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