Intelligent operation of thermal storage systems based heat pump pool for cost efficiency

Pavani Ponnaganti*, Jayakrishnan Radhakrishna Pillai, Birgitte Bak-Jensen, Pierre Vogler-Finck


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1 Citationer (Scopus)
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The customers in the rural areas experience high heating costs than in the cities. The flexibility offered by the heat pumps (HP) and increasing the renewable energy sources (RES) share can play a key role in providing cheap heat without affecting the customer comfort preferences. This paper proposed a genetic algorithm based optimal heat consumption of individual households as a pool for minimizing the energy cost. The smart models of heat pump (HP) and phase change material (PCM) based heat storage systems are developed. These models are simulated for a cluster of 20 households having solar installations with different heat consumption behaviors that are located in a selected rural area i.e., Skive municipality in North Jutland, Denmark. The thermal units are intelligently coordinated by utilizing the electricity during periods of low price and excess production from local renewable resources including solar-photovoltaic (PV), thereby estimating the optimal heat consumption profiles. This study is simulated in DIgSILENT powerfactory and optimization routine from Matlab is utilised, which demonstrates the control of flexible HP units for balancing the local generation.

TitelProceedings of IEEE T&D 2022- IEEE PES Transmission & Distribution Conference & Exposition
Antal sider5
ISBN (Elektronisk)9781665443296
StatusUdgivet - 2022
NavnProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference


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