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The paper aims to present a grid-connected multi-inverter for solar photovoltaic (PV) systems to enhance reliability indices after selected the placement and level of PV solar.

In this study, the associated probability is calculated based on the solar power generation capacity levels and outages conditions. Then, based on this probability, dependability indices like average energy not supplied (AENS), expected energy not supplied and loss of load expectations (LOLE) are computed, also, another indices have been computed such as (customer average interruption duration index (CAIDI), system average interruption frequency index (SAIFI) and system average interruption duration index (SAIDI)) addressing by affected customers with distribution networks reliability assessment, including PV. On the basis of their dependability indices and active power flow, several PV solar modules installed in several places are analyzed. A mechanism for assessing the performance of the grid's integration of renewable energy sources is also under investigation.

The findings of this study based on data extracted form a PV power plant connected to the power network system in Diyala, Iraq 132 kV, attempts to identify the system's weakest points in order to improve the system's overall dependability. In addition, enhanced reliability indices are given for measuring solar PV systems performance connected to the grid and reviewed for the benefit of the customers.

The main contributions of this study are two methods for determining the reliability of PV generators taking into consideration the system component failure rates and the power electronic component defect rates in a PV system which depend on the power input and the power loss using electrical transient analysis program (ETAP) program.

This study aims to research how the outbreak of coronavirus disease 2019 (COVID-19) impacts the selected sector price indices in Borsa Istanbul (BIST), Turkey.

The authors use the event study method because it is a useful method as stock prices and market instantly reflect the effect of such an unusual event. Data are retrieved from the https://www.investing.com/.

The authors find that selected sectors are impacted by the COVID-19 outbreak. The banking and transportation sectors, on the announcement of first death, were impacted negatively, while the telecommunication and food –beverage sectors were impacted positively. The transportation and banking sectors experience an obvious downturn after the spread of COVID-19, while the food–beverage and telecommunication sectors experience an obvious upturn after the spread of COVID-19. Besides, the most adversely impacted sector is banking.

This study bridges the research gap and adds significant insights to the existing literature. The main contribution of this study to the existing literature is the unexpected outbreak impacts on financial markets, especially on BIST. It is also expected that this study will make a significant contribution to analysts, researchers and policymakers.