Abstract
In the current age, power systems contain many modern elements, one example being Flexible AC Transmission System (FACTS) devices, which play an important role in enhancing the static and dynamic performance of the systems. However, due to the high costs of FACTS devices, the location, type, and value of the reactive power of these devices must be optimized to maximize their resulting benefits. In this paper, the problem of optimal power flow for the minimization of power losses is considered for a power system with or without a FACTS controller, such as a Static Var Compensator (SVC) device The impact of location and SVC reactive power values on power system losses are considered in power systems with and without the presence of wind power. Furthermore, constant and variable load are considered. The mentioned investigation is realized on both IEEE 9 and IEEE 30 test bus systems. Optimal SVC allocation are performed in program GAMS using CONOPT solver. For constant load data, the obtained results of an optimal SVC allocation and the minimal value of power losses are compared with known solutions from the literature. It is shown that the CONOPT solver is useful for finding the optimal location of SVC devices in a power system with or without the presence of wind energy. The comparison of results obtained using CONOPT solver and four metaheuristic method for minimization of power system losses are also investigated and presented.
Highlights
IntroductionLife without electricity is almost impossible to imagine. Generated electricity (active and reactive power) is usually transmitted over long distances to end users
Today, life without electricity is almost impossible to imagine
Four metaheuristic methods were applied on an optimal power flow (OPF) problem and the obtained results were compared in terms of copulation time, accuracy, and impact of system dimension with GAMS/CONOPT [21]
Summary
Life without electricity is almost impossible to imagine. Generated electricity (active and reactive power) is usually transmitted over long distances to end users. IEEE 9 and IEEE 30 test bus systems and comparison is made with similar studies in the literature; The comparison of minimum power system losses obtained using a CONOPT solver and the metaheuristics algorithms is presented; The impact of SVC location on power system losses is analyzed in both IEEE 9 and IEEE 30 test bus systems; The impact of the limited reactive power of SVC devices on power system losses is analyzed in the same test systems; The impact of SVC location on power system losses in power networks with renewables is analyzed; The impact of different wind power generator connections in power networks on the SVC location is tested; For constant load data, the results obtained using the Newton–Rapson method for optimal SVC location and the minimal value of power losses are compared with known solutions from the literature.
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