• DocumentCode
    647680
  • Title

    Design considerations of a centralized load controller using thermostatically controlled appliances for continuous regulation reserves

  • Author

    Ning Lu

  • Author_Institution
    Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    This paper presents design considerations for a centralized load controller to control thermostatically controlled appliances (TCAs) for continuous regulation reserves (CRRs). The controller logics for setting up the baseline load, generating priority lists, issuing dispatch commands, and tuning the simplified forecaster model using measurement data are described. To study the impacts of different control parameter settings on control performance and device lifetimes, a system consisting of 1000 heating, ventilating, and air-conditioning (HVAC) units in their heating modes is modeled to provide a ±1-MW CRR 24 hours a day. Four cases are modeled to evaluate the impact of forecasting errors, minimum HVAC turn-off times, response delays, and consumer overrides. The results demonstrate that a centralized TCA load controller can provide robust, good quality CRRs with reduced communication needs for the two-way communication network and inexpensive load control devices. Most importantly, because the controller precisely controls the aggregated HVAC load shapes while maintaining load diversity, the controllable and measurable load services that it provides can be used for many other demand response applications, such as peak shaving, load shifting, and arbitrage.
  • Keywords
    HVAC; centralised control; control system synthesis; demand side management; domestic appliances; load flow control; thermostats; CRR; HVAC load shape aggregation; HVAC turn-off time; TCA; baseline load; centralized load controller design; command dispatch; communication network; consumer override; continuous regulation reserve; control parameter setting; controller logic; demand response application; device lifetime; forecaster model tuning; forecasting error impact; heating mode; heating ventilating and air conditioning; load control device; load diversity maintenance; priority list generation; response delay; thermostatically controlled appliances; Atmospheric modeling; Computers; Educational institutions; Heating; Home appliances; Load modeling; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672203
  • Filename
    6672203