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doi: 10.3934/jimo.2020112

Air-Conditioner Group Power Control Optimization for PV integrated Micro-grid Peak-shaving

 a. Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha 5825, Qatar b. ICube Laboratory, Université de Strasbourg–CNRS, Strasbourg 67000, France

* Corresponding author: Zhaohui Cen

Received  December 2019 Revised  March 2020 Published  June 2020

Heating, Ventilation, and Air-Condition (HVAC) systems are considered to be one of the essential applications for modern human life comfort. Due to global warming and population growth, the demand for such HVAC applications will continue to increase, especially in arid areas countries like the Arabian Gulf region. HVAC systems' energy consumption is very high and accounts for up to 70% of the total load consumption in some rapidly growing GCC countries such as Qatar. Additionally, the local extremely hot weather conditions usually lead to typical power demand peak issues that require adequate mitigation measures to ensure grid stability. In this paper, a novel control scheme for a combined group of Air-Conditioners is proposed as a peak-shaving strategy to address high power demand issues for Photo-Voltaic(PV)-integrated micro-grid applications. Using the local daily ambient temperature as input, the AC group control optimization is formulated as a Mixed-Integer Quadratic Programming (MIQP) problem. Under an acceptable range of indoor temperatures, the units in the same AC group are coordinately controlled to generate desired power consumption performance that is capable of shaving load peaks for both power consumption and PV generation. Finally, various simulations are performed that demonstrate the effectiveness of the proposed control strategy.

Citation: Mohammed Al-Azba, Zhaohui Cen, Yves Remond, Said Ahzi. Air-Conditioner Group Power Control Optimization for PV integrated Micro-grid Peak-shaving. Journal of Industrial & Management Optimization, doi: 10.3934/jimo.2020112
References:

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References:
Baseline on-off AC control temperature profile
AC Group Control ICT hardware infrastructure diagram
Flowchart for AC group control program
Outdoor Temperature in One day measured in Qatar
On-Off Control Power profile subjected to different time delay
Indoor Temperature Control profile Comparison
Indoor temperature profiles of load-side peak shaving (The different curves are for the considered 40 AC units)
Individual AC power control logic of load-side peak shaving
Load-side shaving by AC group control
Indoor temperature profiles under binary Mode
Individual AC power control logic for PV peak shaving scenario under binary mode
PV side Peak-shaving by AC group control under binary Mode
Indoor temperature profiles under Ternary Mode (0-1-2)
Individual AC power control logic under Ternary Mode (0-1-2)
PV side Peak-shaving by AC group control with Ternary Mode (0-1-2)
House thermal model parameters definition
 Parameter Definition ${T}_{indoor}$ Indoor temperature of the house ${T}_{outdoor}$ Outdoor temperature of the house ${{\dot{Q}}_{d}}$ Heat flow from outdoor to the house ${{\dot{Q}}_{e}}$ Cooling Energy by AC system $R$ Thermal resistance from outdoor to the house $m$ Mass of the indoor air ${{C}_{p}}$ Heat capacities of the room air
 Parameter Definition ${T}_{indoor}$ Indoor temperature of the house ${T}_{outdoor}$ Outdoor temperature of the house ${{\dot{Q}}_{d}}$ Heat flow from outdoor to the house ${{\dot{Q}}_{e}}$ Cooling Energy by AC system $R$ Thermal resistance from outdoor to the house $m$ Mass of the indoor air ${{C}_{p}}$ Heat capacities of the room air
Parameters values of the thermal model and optimization
 Parameter Value Parameter Value A -2.00123e-4 $J_{SW}$ 2 B 4.4028e-6 Cp($J/Kg^oC$) 1005 E 0.002*$T_{ref}$ $m(kg)$ 222 R($^oC/W$) 0.022 $Q$ 300
 Parameter Value Parameter Value A -2.00123e-4 $J_{SW}$ 2 B 4.4028e-6 Cp($J/Kg^oC$) 1005 E 0.002*$T_{ref}$ $m(kg)$ 222 R($^oC/W$) 0.022 $Q$ 300
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