Optimal Power Dispatch of WECS and UPFC with ACO and ANFIS Algorithms

Abstract

Wind energy conversion systems are the quickest developing renewable source of electrical energy having tremendous environmental and social advantages. In this paper proposed an optimal reactive power dispatch (ORPD) technique of wind power plants in grid connected power system. The ORPD issue is a vital issue in the operation of power frameworks. It is a nonlinear and mixed integer programming issue, which decides ideal qualities for control parameters of reactive power makers to upgrade particular target capacities while fulfilling a few specialized requirements. The ORPD technique consists of ACO and ANFIS controller for improving the performance of multiple wind turbines and the steady state stability of the power system in terms of active and reactive power flow of a transmission line. The ACO algorithm is used to extract the maximum power from WECS. The generated maximum power is transmitted through the UPFC connected HVDC link. The performance of the UPFC is improved with the ANFIS controller based on the actual and the reference power parameters of the grid connected power system. Furthermore, UPFC is utilized to control active and reactive flow of power in a transmission line. The proposed method is implemented in MATLAB/Simulink platform and tested with the different wind speed condition. To verify the effectiveness of the proposed model, the obtained results in the deterministic case is compared with the existing methods like GA and PSO.

Mitigation of power quality disturbances in wind energy conversion systems with fed unified power flow controllers using cascaded adaptive neuro-fuzzy inference system controller

“…In WECS, various generator types often referred to as flexible alternating current transmission systems (FACTS) are used to regulate power and voltage at system's point of common coupling (PCC) during events that are not normal [14]. To control reactive power at PCC across various disruption occurrences at load side, WECS uses squirrel cage induction generators (SCIG) together with FACTS components such as static volt ampere reactive (VAR) compensator and static compensator (STATCOM) [1518].…”

Improved security and stability of grid connected the wind energy conversion system by unified power flow controller

“…Liu et al [13], the stability of the integrated grid system with DFIG and direct drive permanent magnet synchronous generator and UPFC was analyzed by comparing the structure, principles, and mathematical simulation models of the two wind turbines. The ant-colony optimization (ACO) and adaptive neuro fuzzy inference system (ANFIS) algorithms are proposed in [14] for the WECS and UPFC optimal reactive power delivery (ORPD) techniques in grid-connected power systems. Integrated power system using DFIG with three-phase fault using UPFC [15], whereas, Vig and Surjan [14] proposes a high-precision new grid-connected threephase inverter system with a sub-inverter using a combination type UPFC structure consisting of a central inverter, a sub-inverter, and a transformer.…”

“…The ant-colony optimization (ACO) and adaptive neuro fuzzy inference system (ANFIS) algorithms are proposed in [14] for the WECS and UPFC optimal reactive power delivery (ORPD) techniques in grid-connected power systems. Integrated power system using DFIG with three-phase fault using UPFC [15], whereas, Vig and Surjan [14] proposes a high-precision new grid-connected threephase inverter system with a sub-inverter using a combination type UPFC structure consisting of a central inverter, a sub-inverter, and a transformer. The stability of DFIG and UPFC integrated into the power system on the critical clearing fault time in a multi-machine power system has been investigated in work [16].…”

Controller Parameters Optimization for Multi-Terminal DC Power System Using Ant Colony Optimization

“…Several papers have used different meta-heuristic optimization methods to get the optimal parameters of controllers for disturbance rejection in different control applications [17]- [19]. Ant colony optimization (ACO), a new meta-heuristic algorithm has been used for the optimum solutions of power system problems like economic power dispatch and power system stabilization [20], [21]. Recently ACO algorithm has been used for optimal tuning of gain parameters to enhance the stability of multi-machine power systems [22] Also, ACO has been used to get the optimal parameters of controller for disturbance rejection in induction motor and magnetic levitation control system respectively [23], [24].…”