Electric System Cascade Extended Analysis For Optimal Sizing Of An Autonomous Hybrid Csp/Pv/Wind System With Battery Energy Storage System And Thermal Energy Storage

The key core contribution of the paper is to solve the problem of optimal sizing of hybrids systems with multiple storage facilities and minimizing the Levelised cost of electricity under the premise of ensuring the load supply. To achieve this, we have developed a new extended algorithm based on the Power Pinch Analysis (PPA) and the Modified Electric System Cascade Analysis (MESCA) which we previously used to size hybrid systems in previous papers [1,2]. Meanwhile, The ESCEA is used in the research to obtain the optimal combination of the contributions (%) of each type of generator adopted in an autonomous hybrid system (photovoltaic panels PV, wind turbines generators WT, and a concentrated solar power system CSP), with a thermal energy storage system (TES) to store heated fluid simultaneous with batteries for storing electrical energy (BESS).The ESCEA algorithm applied in a case study with data from the city of Oujda with an electrical load of 50 MWe indicated that it is possible to achieve 0.18 $/kWh of the Levelized Cost of Electricity (LCOE) for 0% Loss of Power Supply Probability (LPSP) with specific contributions of each generator type.(c) 2021 Elsevier Ltd. All rights reserved.