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Modified Electric System Cascade Analysis for optimal sizing of an autonomous Hybrid Energy System

Zahboune, Hassan, Zouggar, Smail, Yong, Jun Yow, Varbanov, Petar Sabev, Elhafyani, Mohammed, Ziani, Elmostafa, Zarhloule, Yassine
Energy 2016 v.116 pp. 1374-1384
algorithms, batteries, case studies, electric power, electricity, energy, power generation, probability, renewable energy sources, solar collectors, solar radiation, wind speed, wind turbines
Ensuring sufficient generation for covering the power demand at minimum cost of the system are the goals of using renewable energy on isolated sites. Solar and wind capture are most widely used to generate clean electricity. Their availability is generally shifted in time. Therefore, it is advantageous to consider both sources simultaneously while designing an electrical power supply module of the studied system.A specific challenge in this context is to find the optimal sizes of the power generation and storage facilities, which would minimise the overall system cost and will still satisfy the demand. In this work, a new design algorithm is presented minimising the system cost, based on the Electric System Cascade Analysis and the Power Pinch Analysis. The algorithm takes as inputs the wind speed, solar irradiation, as well as cost data for the generation and storage facilities. It has also been applied to minimise the loss of power supply probability (LPSP) and to ensure the minimum of the used storage units without using outsourced electricity.The algorithm has been demonstrated on a case study with daily electrical energy demand of 18.7 kWh, resulting in a combination of PV Panels, wind turbine, and the batteries at minimal cost. For the conditions in Oujda city, the case study results indicate that it is possible to achieve 0.25 €/kWh Levelised Cost of Electricity for the generated power.