Nowadays, water pumping systems based on photovoltaics as a source of electricity have widely increased. System cost and efficiency still require enhancement in order to spread their application. Perovskite solar cells (PSCs) are the most hopeful third-generation photovoltaic for replacing the silicon-based photovoltaic thanks to their high power conversion efficiency, reaching 25.8%; tunable band-gap; long diffusion length; low fabrication temperature; and low cost. In this work, for the first time, we proposed a high-power-density hybrid perovskite solar cell thermoelectric generator (TEG) array for feeding a synchronous reluctance motor (SynRM) driving a water pump for use in an irrigation system. A control technique was used to achieve two functions. The first function was driving the motor to obtain the maximum torque/ampere. The second was harvesting the maximum perovskite solar cell array output power on the basis of the maximum power point tracking (MPPT) algorithm using the perturbation and observation approach. Thus, the proposed hybrid perovskite solar cell–thermoelectric generator feeds the motor via an inverter without DC–DC converters or batteries. Accordingly, the short life problems and the high replacement cost are avoided. The proposed complete system was simulated via the MATLAB package. Moreover, a complete laboratory infrastructure was constructed for testing the proposed high-power-density hybrid perovskite solar cell–TEG array for the water pumping system. The results revealed that using the high-power-density hybrid perovskite solar cell–TEG array, both the motor’s output power and the pump’s flow rate were improved by 11% and 14%, respectively, compared to only using the perovskite solar cell array. Finally, both the simulation and experimental results proved the high-performance efficiency of the system in addition to showing its system complexity and cost reduction.

Microgrids as modern power system facilities must be optimally designed to secure their efficient techno-economic feasibility. The uncertainty in renewable energy and electricity demand growth which can be managed by appropriate design and demand-side management methods. In this research work, a hybrid microgrid comprising 3^rd generation Perovskite Solar Cells / Wind Turbines / Micro turbines and battery system is modeled in Homer Pro software 3.14.2 to determine the optimal decisions for different demand-side management cases. Furthermore, the Perovskite Solar Cells devices were fabricated and experimentally examined and integrated to microgrid under investigation. This paper investigates the techno-economic modeling and optimization-based demand-side management of microgrids to maintain the load demand of a rural community on the coast of Aswan, Egypt. Various load demand scenarios involving baseloads without demand-side management, with loads shifting-based demand-side management, and with combined loads shifting and peak clipping-based demand-side management, are implemented, including their impacts on the microgrids' cost, reliability, and emissions are evaluated and compared. The design objective is to minimize the levelized cost of energy subject to various operational constraints based on Homer Pro software. The results have indicated a significant reduction in the Perovskite Solar Cells output power (89.0 kW) with Case-1(base load). While applying Case-2 (demand-side management based on loads shifting technique) the power reduced to 78.9 KW. Added to that the implementing of Case-3 (demand-side management based on loads shifting and loads clipping techniques) the power reduced to 77.6 KW. The results revealed that at Case-2 the demand side management was able to attain an attractive reduction of cost of energy by 14% in comparison with Case-1. Moreover, emissions at Case-3 decreased by 15% in comparison with Case-1. Finally, the proposed approach is to assist decision-makers to provide costs- effective and emissions-conscious planning for microgrids efficiently.