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Flexible AC Transmission Systems (FACTS) have been proposed in the late 1980s to meet and provide the electrical power system requirements. FACTS are used to control the power flow and to improve the power system stability. Interline power flow controller (IPFC) is a versatile device in the FACTS family of controllers and one of its latest generations which has the ability to simultaneously control the power flow in two or multiple transmission lines. This paper is tackling the IPFC performance in power systems; it aims to discuss the availability to define a known scenario for the IPFC performance in different systems. An introduction supported with brief review on IPFC, IPFC principle of operation and IPFC mathematical model are also introduced. IEEE 14-bus and 30-bus systems have chosen as a test power systems to support the behavior study of power system equipped with IPFC device. Three different locations have chosen to give variety of system configurations to give effective performance analysis.

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In this paper, forecasting estimation for medium-term period by using Artificial Neural Network (ANN) techniques has been implemented. The actual data are obtainedfrom The Egyptian Electric Holding Company (EEHC). Thestudy focused on unexpected peaks on working days ofsummer seasons that have the dangerous effect on safety ofelectric power system. Medium-term loadforecasting is established by two plans, One-year plan and Five-years plan with different designed techniques. The input consists of many parameters such as past annual loads, population, oil price and so on. The outputs are annual loads or the energy sales or both. The results ofthese techniques are compared with output of the models calculated by EEPU. So, valuable conclusions and recommendations are obtained.

Integrating photovoltaic (PV) plants into electric power system exhibits challenges to power system dynamic performance. These challenges stem primarily from the natural characteristics of PV plants, which differ in some respects from the conventional plants. The most significant challenge is how to extract and regulate the maximum power from the sun. This paper presents the optimal design for the most commonly used Maximum Power Point Tracking (MPPT) techniques based on Proportional Integral tuned by Particle Swarm Optimization (PI-PSO). These suggested techniques are, (1) the incremental conductance, (2) perturb and observe, (3) fractional short circuit current and (4) fractional open circuit voltage techniques. This research work provides a comprehensive comparative study with the energy availability ratio from photovoltaic panels. The simulation results proved that the proposed controllers have an impressive tracking response. The system dynamic performance improved greatly using the proposed controllers.