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

Fuller, Jason C. ; Vyakaranam, Bharat GNVSR ; Prakash Kumar, Nirupama ; Leistritz, Sean M. ; Parker, Graham B.

Pacific Northwest National Laboratory (U.S.)

关键词: Stabilization;    Regulations;    Thermostats;    29 Energy Planning, Policy And Economy;    32 Energy Conservation, Consumption, And Utilization;   

DOI  :  10.2172/1047418
RP-ID  :  PNNL-21358
RP-ID  :  AC05-76RL01830
RP-ID  :  1047418

美国|英语

来源: UNT Digital Library

【 摘 要 】

The widespread adoption of demand response enabled appliances and thermostats can result in significant reduction to peak electrical demand and provide potential grid stabilization benefits. GE has developed a line of appliances that will have the capability of offering several levels of demand reduction actions based on information from the utility grid, often in the form of price. However due to a number of factors, including the number of demand response 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 open-source software, GridLAB-D, including evaluation of 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's demand response enabled appliances to provide benefits to the utility grid. The first report will describe the modeling methodology used to represent the GE 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.