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

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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 utilized,
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
StatusAccepteret/In press - apr. 2022


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