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Scheduling of price-sensitive residential storage devices and loads with thermal inertia in distribution grid

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  • Reihani, Ehsan
  • Sepasi, Saeed
  • Ghorbani, Reza

Abstract

Demand response provides more flexibility in the operation of a power grid with high renewable energy penetration. In this paper, a mathematical model of storage devices and loads with thermal inertia, such as batteries, water heaters, and air conditioners, is presented. Dynamic and linear programming methods are used to solve the optimization problem subject to comfort constraints. The price signal for these devices can incorporate financial criteria as well as reliability criteria. Optimal operation of the storage devices and loads with thermal inertia are obtained considering the given price signal. Individual device performance optimization is compared with all of the devices as a single solution and optimal operation plots and results are presented and discussed. The presented optimization problem for house devices is solved using dynamic programming and mathematical programming and the results are compared.

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  • Reihani, Ehsan & Sepasi, Saeed & Ghorbani, Reza, 2016. "Scheduling of price-sensitive residential storage devices and loads with thermal inertia in distribution grid," Applied Energy, Elsevier, vol. 183(C), pages 636-644.
    • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:636-644
    DOI: 10.1016/j.apenergy.2016.08.115
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    References listed on IDEAS

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    1. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    2. Dinesh, Chinthaka & Welikala, Shirantha & Liyanage, Yasitha & Ekanayake, Mervyn Parakrama B. & Godaliyadda, Roshan Indika & Ekanayake, Janaka, 2017. "Non-intrusive load monitoring under residential solar power influx," Applied Energy, Elsevier, vol. 205(C), pages 1068-1080.
    3. Anilkumar, T.T. & Simon, Sishaj P. & Padhy, Narayana Prasad, 2017. "Residential electricity cost minimization model through open well-pico turbine pumped storage system," Applied Energy, Elsevier, vol. 195(C), pages 23-35.
    4. Adhikari, Rajendra & Pipattanasomporn, M. & Rahman, S., 2018. "An algorithm for optimal management of aggregated HVAC power demand using smart thermostats," Applied Energy, Elsevier, vol. 217(C), pages 166-177.

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