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Economic nonlinear MPC for a population of thermostatically controlled loads

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006207" target="_blank" >RIV/46747885:24220/18:00006207 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s00450-017-0354-7" target="_blank" >http://dx.doi.org/10.1007/s00450-017-0354-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00450-017-0354-7" target="_blank" >10.1007/s00450-017-0354-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Economic nonlinear MPC for a population of thermostatically controlled loads

  • Original language description

    Thermostatically controlled loads, including heat pumps, electrical space heaters, air-conditioners, electrical boilers, and refrigerators, have a large potential to provide regulation services to energy systems. In this paper, we design a price-responsive control system for aggregating and coordinating a population of thermostatically controlled loads, each with a relatively small power consumption. The goal is to shift electricity consumption of the whole group to the periods with low electricity prices. Model predictive control is an advanced control method, which can naturally include electricity price and weather forecasts as well as the dynamics of the loads into the control problem. The main challenge is to find an accurate aggregate model describing demand response of the population. The proposed solution is a nonlinear modification of bin state transition model, which is further used for formulating nonlinear mixed integer optimization problem. The control objective is to minimize operational cost of the population. As a case study, we consider a population of electrical space heaters. The numerical simulations demonstrate the accuracy of the obtained model and that the proposed control system reduces the operational cost up to 20%, whereas the customer comfort is not compromised.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20704 - Energy and fuels

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Science - Research and Development, Volume 33, Issue 1-2

  • ISBN

  • ISSN

    1865-2034

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    157-167

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin Heidelberg

  • Event location

    Lugano

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article