Abstract-This paper presents the first year (2014) performance analysis of a 276 kWp grid-connected roof-type solar PV plant located at the campus of Al-Ahliyya Amman University in Jordan, using monitored data. The plant is installed on 3000 m2-roof of Arena building at the University campus. The array consists of 1176 modules with two orientations 10° and 15°. The PV array is configured in a way that the system includes 14 panels in parallel with 14 inverters. The plant is equipped with a monitoring system which is connected to the internet and gives the data on a daily basis. The study shows that the actual and estimated specific energy productions are 1639kWh/kWp-year, and 1726 kWh/kWp-year, respectively. The annual capacity factor and performance ratio are found to be 18.7% and 87.5%, respectively. The actual energy production is found to be 452406 kWh/year, whereas the estimated annual energy production is found to be 476467 kWh as calculated using the software PVsyst V6.32. The measured and estimated yields are in close agreement to each other with a relative error of about 5%. It is found that the maximum actual yields in July and minimum in January. Compared to PV plants worldwide, and particularly in detail to a PV plant in Syria, the analysed plant (the AAU plant) has an excellent overall performance.

Despite the implementation of a network, compliance with guidelines for reperfusion strategies and adjunctive treatments was insufficient in our area. However, very few patients did not receive reperfusion therapy and the mortality rate was low. Efforts should be made to improve the estimation of delay before primary percutaneous coronary intervention.

One of the key functions of the Distribution System Operators (DSOs) of<br />electrical power systems (EPS) is to minimize the transmission and<br />distribution power losses and consequently the operational cost. This<br />objective can be reached by operating the system in an optimal mode which is performed by adjusting control parameters such as on-load tap changer (OLTC) settings of transformers, generator excitation levels, and VAR compensators switching. The deviation from operation optimality will result in additional losses and additional operational cost of the power system. Reduction of the operational cost increases the power system efficiency and provides a significant reduction in total energy consumption. This paper proposes a mathematical model for minimizing the additional (add-on) costs based on Design of Experiments (DOE). The relation between add-on operational costs and OLTC settings is established by means of regression statistical analysis. The developed model is applied to a 20-bustest network. The regression curve fitting procedure requires simulation experiments which have been carried out by the DigSilent PowerFactory 13.2 Program for performing network power flow. The results show the effectiveness of the model. The research work raises the importance the power system operation management of the EPS where the Distribution System Operator can avoid the add-on operational costs by continuous correction to get an operation mode close to optimality.

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