Scenario aggregation-based grid-connected photovoltaic plant design

Abstract

As the global population continues to increase and living standards in developing countries continue to improve, the demand for energy is surging. This is also coupled with technological advances, which are leading to the increased electrification of transportation, manufacturing, and home appliance. Classical fossil fuel-based energy generation is unsustainable and a significant cause of air pollution. Therefore, clean, local, and sustainable sources of energy, such as solar energy, have recently been receiving more attention. In this paper, a complete design approach for grid-connected photovoltaic (PV) plants is developed. Jordan University of Science and Technology (JUST) is presented as a case study. The design is formulated as an optimization problem to find the optimal PV plant size needed to minimize the system cost and meet the design constraints. The uncertainties of solar radiation and temperature are considered using appropriate stochastic models. The optimization problem is solved using the Scenario Aggregation technique. The results show the financial and environmental feasibility of the proposed system. The optimal PV plant size which meets the annual demand of JUST is found and the financial and environmental benefits derived from executing the proposed system are emphasized.