Abstract
This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta-heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem using Weibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, and Combined Economic and Environmental Costs (CEEC), are separately formulated to solve the OPF considering FACTS devices and stochastic wind power generation. The effectiveness of the KHA approach is investigated on modified IEEE-30 bus and IEEE-57 bus test systems and compared with other conventional methods available in the literature.
Highlights
Optimal Power Flow (OPF) plays a significant role in power systems operation and control.The OPF mainly aims to optimize a certain objective function, such as minimizing the generation fuel cost and at the same time, satisfying the load balance constraints and bound constraints [1,2].Under normal conditions, all devices in power systems should operate within their pre-determined range
According to [13], two thyristor-controlled series compensator (TCSC) are installed in transmission lines 3–4, 19–20 with 50% and 100% series line reactances, and two thyristor controlled phase shifter (TCPS) are placed on transmission lines 5–7 and 10–22 with –5◦ and +5◦ phase shift angles
A new meta-heuristic algorithm is proposed in this paper to cope with the Optimal Power Flow (OPF) problem of power systems incorporated with wind farm and Flexible AC Transmission Systems (FACTS) devices
Summary
Optimal Power Flow (OPF) plays a significant role in power systems operation and control.The OPF mainly aims to optimize a certain objective function, such as minimizing the generation fuel cost and at the same time, satisfying the load balance constraints and bound constraints [1,2].Under normal conditions, all devices in power systems should operate within their pre-determined range. Optimal Power Flow (OPF) plays a significant role in power systems operation and control. The OPF mainly aims to optimize a certain objective function, such as minimizing the generation fuel cost and at the same time, satisfying the load balance constraints and bound constraints [1,2]. All devices in power systems should operate within their pre-determined range. Such constraints include the maximum and minimum active and reactive power of the generation units, voltage levels, loadability of power transmission lines, and transformers tap settings. Minimizing the operating costs and increasing the reliability of power systems are two main objectives from the power companies and utilities’ point of view. The OPF problem can be divided into two major problems: (1) the optimal active power flow problem, and (2) the optimal reactive power
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