Stability Analysis of Demand Response Systems Utilizing Locally Communicating Thermostatically Controlled Loads

2019 ◽  
Author(s):  
Jason Kuwada ◽  
John F. Gardner
Keyword(s):  
Stability Analysis ◽  
Demand Response ◽  
Aggregate Behavior ◽  
Communication Topology ◽  
Response Systems ◽  
Thermostatically Controlled Loads ◽  
Negative Impacts ◽  
Insight Into ◽  
Varying Population ◽  
Aggregate System

Abstract Thermostatically Controlled Loads (TCLs) have shown great potential for Demand Response (DR) events. However, it has been commonly seen that DR events using TCLs may cause load synchronization and unwanted oscillatory effects, especially in homogeneous populations. In an attempt to mitigate the negative impacts of DR events, a decentralized method is proposed that modifies each thermostat behavior based on the activity of nearby TCLs. This feedback introduces the possibility of instability in the aggregate behavior. A stability analysis is performed on a model of the aggregate system and the results of that analysis compared to simulation results. Several populations were considered, varying population size, communication topology, thermostat deadband and heterogeneity of the population. While the linearized analysis failed to accurately predict instabilities in the aggregate system, it did provide insight into global behavior.

Local Communication in Populations of Thermostatically Controlled Loads

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Jason Kuwada ◽  
Ryan Schwartz ◽  
John F. Gardner
Keyword(s):  
Stability Analysis ◽  
Demand Response ◽  
Aggregate Behavior ◽  
Thermostatically Controlled Loads ◽  
Simulation Results ◽  
Negative Impacts ◽  
Proposed Modification ◽  
Linearized Model ◽  
Insight Into ◽  
Aggregate System

Abstract Thermostatically controlled loads (TCLs) have shown great potential for demand response (DR) in electric grid operations. However, it has been commonly seen that DR events using TCLs may cause load synchronization and unwanted oscillatory effects, especially in homogeneous populations. In an attempt to mitigate the negative impacts of DR events, a decentralized method is proposed that modifies each thermostat behavior based on the activity of a small number of nearby TCLs. This feedback introduces the possibility of instability in the aggregate behavior. A stability analysis is performed on a linearized model of the aggregate system and the results of that analysis compared to simulation results. The proposed modification of thermostat behavior results in fourfold reduction in the post-DR peak while suppressing ensuing oscillations at the expense of a modest increase in compressor cycling. The linearized model also provides insight into the aggregate behavior of the population.

Design Resilience of Demand Response Systems Utilizing Locally Communicating Thermostatically Controlled Loads

2019 ◽  
Author(s):  
Jason Kuwada ◽  
Hoda Mehrpouyan ◽  
John F. Gardner
Keyword(s):  
Demand Response ◽  
Stability Limit ◽  
Agent Based Modeling ◽  
Algebraic Connectivity ◽  
Agent Based ◽  
The Core ◽  
System A ◽  
Population Sizes ◽  
Response Systems ◽  
Thermostatically Controlled Loads

Abstract Thermostatically Controlled Loads (TCLs) have shown great potential for Demand Response (DR) events. The focus of this study is to investigate the effects of adding communication throughout a population of TCLs on the resilience of the system. A Metric for resilience is calculated on varying populations of TCLs and verified with agent based modeling simulations. At the core of this study is an added thermostat criterion created from the combination of a proportional gain and the average compressor operating state of neighboring TCLs. Differing connection architectures are also analyzed. Resilience of the systems under different connection topologies, are calculated by analyzing algebraic connectivity at varying population sizes. The resilience analysis was verified through simulation. Results of the analysis show the effect of on delay schemes and connection architecture on stability limit of each system. Good concurrence was found between predicted and observed resilience for smaller dead-band sizes. Simulations showed varying results on the effect of a simulated attack based on location of the attack within the population.

Learning-Enabled Residential Demand Response: Automation and Security of Cyberphysical Demand Response Systems

2021 ◽  
Vol 9 (1) ◽  
pp. 36-44
Author(s):  
Robert Mieth ◽  
Samrat Acharya ◽  
Ali Hassan ◽  
Yury Dvorkin
Keyword(s):  
Demand Response ◽  
Response Systems ◽  
Residential Demand

scholarly journals Structure Formation in Anisotropic Disks

2006 ◽  
Vol 2 (S235) ◽  
pp. 143-143
Author(s):  
Eduard Vorobyov ◽  
Christian Theis
Keyword(s):  
Stability Analysis ◽  
Linear Stability ◽  
Linear Stability Analysis ◽  
Disk Galaxies ◽  
Structural Elements ◽  
Small Perturbations ◽  
Gravitational Instabilities ◽  
Hydrodynamical Simulations ◽  
Axisymmetric Structures ◽  
Insight Into

The majority of normal disk galaxies are characterized by non-axisymmetric structures like spirals or bars. These structural elements have been widely discussed in the literature as a result of gravitational instabilities which are connected to growing density waves or global instabilities of disks. A first insight into the properties of galactic discs was provided by linear stability analysis. However, a disadvantage of linear stability analysis remained its restriction to small perturbations, both in amplitude and wavelength. Thus, numerical simulations, especially hydrodynamical and stellar-hydrodynamical simulations became a primary tool for the analysis of galactic evolution.

scholarly journals Model Predictive Control for Building Active Demand Response Systems

2015 ◽  
Vol 83 ◽  
pp. 494-503 ◽  
Author(s):  
Fiorella Lauro ◽  
Fabio Moretti ◽  
Alfonso Capozzoli ◽  
Stefano Panzieri
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Demand Response ◽  
Response Systems

Anti-neutrophil cytoplasmic antibodies-associated vasculitis: a guide and case study

2020 ◽  
Vol 29 (22) ◽  
pp. 1333-1340
Author(s):  
Helena Boyer ◽  
Gerri Mortimore
Keyword(s):  
Hearing Loss ◽  
Information Value ◽  
Ocular Involvement ◽  
Treatment Regimens ◽  
Related Information ◽  
Increased Risk ◽  
Red Flag ◽  
Negative Impacts ◽  
Insight Into

Vasculitis is a relatively rare and poorly understood condition causing inflammation of the blood vessels, which in turn can affect a patient's respiratory and renal systems. In some cases, ocular involvement can cause loss of sight and hearing loss may also be a red flag for vasculitis, which, if not treated early, can cause complete hearing loss. Anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) is a group comprising granulomatosis with polyangiitis (GPA), microscopic polyangiitis (MPA) and eosinophilic granulomatosis (EGP). AAV is fatal if untreated and as increased risk escalates with age, coupled with a decline in renal function, these are the principal predictors of poor outcome. Vital roles for nursing vasculitis patients lie in managing inflammation and pain, as these distressing symptoms are prevalent in the disease. Because of the multiple complications that can occur with vasculitis, treatment-related information is a high priority for these patients. As nurses are well placed to deliver information, value lies in their role in reducing the negative impacts on treatment regimens and compliance that accompany patients' poor insight into their condition.

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