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

Vig, Sunny; Surjan, Balwinder Singh

doi:10.15676/ijeei.2018.10.1.2

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…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].…”

Section: Introductionmentioning

confidence: 99%

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

2023

IJATEE

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Power flow optimization is a critical aspect of power and control system design, aiming to minimize running costs while ensuring control variable tolerances and maximizing power delivery. The utilization of flexible alternating current transmission system (FACTS) particularly unified power flow controllers (UPFCs), enhances a system's power transfer capacity. UPFCs offer versatile adjustments for active and reactive power lines and voltage levels simultaneously, contributing to improved system performance and stability. A novel approach for enhancing flexibility and control in a doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) was proposed. The technique involved the integration of a fuzzy-based control strategy for UPFC and the utilization of a cascaded adaptive neuro fuzzy inference system (ANFIS) to manage UPFC's series and shunt converters. Additionally, an improved butterfly optimization algorithm (IBOA) was introduced to ensure stability for DFIG-WECS. The methods were implemented and validated through simulations using MATLAB software. The effectiveness of the proposed approach was demonstrated through experimental results. The integration of cascaded ANFIS-based UPFC control and IBOA with WECS resulted in increased system power quality and stability. The total harmonic distortion (THD) of the system is reduced by 1.8%, indicating an enhancement in power quality. The application of UPFC and innovative control methodologies results in optimal power flow (OPF), maintaining stringent control variable tolerances in power systems. This research presents a systematic approach to enhancing flexibility and control in a DFIG-based WECS through the innovative use of UPFC and advanced control techniques. The proposed fuzzy-based UPFC control, in conjunction IBOA, significantly improves power quality and stability, thereby enhancing the overall efficiency of the system.

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Section: Introductionmentioning

confidence: 99%

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

2023

IJATEE

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“…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.…”

Section: Introductionmentioning

confidence: 99%

“…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].…”

Section: Introductionmentioning

confidence: 99%

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

Wartana¹,

Agustini²,

Sreedharan³

2022

IJEECS

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The stability and security improvements of the grid-connected to the wind energy conversion system (WECS) can be made by optimizing the placement of a flexible alternating current transmission system (FACTS). This study discusses the optimal placement of one type of WECS, namely the doubly-fed induction generator (DFIG) with a series and a shunt-FACTS control device called unified power flow controller (UPFC). The DFIG and UPFC connected grid dynamic perfor mance improvement with a maximum load bus system scenario. The optimal placement of DFIG and UPFC on the grid is formulated as a multi - objective problem, namely maximizing load bus system (Max. LBS) while minimizing active power loss (Min. P loss ) by pleasi ng numerous security and stability constraints. The non-dominated sorting genetic algorithm II (NSGA-II) have been utilized to settle this opposed bi-objective enhancement problem. The validity of the suggested method was examined on a modified IEEE 14-bus and a utilitarian examine system connected to DFIG with UPFC in power system analysis toolbox ( PSAT ) software. The optimal placement of DFIG and UPFC on the grid has increased the system's dynamic performance, with all the specified particular constraints being encountered.

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“…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].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

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Voltage source converter based multi -terminal DC grids (VSC -MTDC) are widely used for integration of renewable resources. Control of these grids requires vector control method, which includes inner and outer current controllers, tuning of these controllers is very important. Conventionally used tuning methods consider approximated linear model to tune the proportional -integral (PI) parameters of voltage source converter (VSC) which fails to produce optimum disturbance rejection results. In this research an Ant Colony Optimization (ACO) technique is used to get the optimum parameters of inner and outer power control layers for multi -terminal DC system. ACO is applied simultaneously on inner and outer control layers and results are compared with classical tuning method and well established meta -herustic technique, Particle Swarm Optimization (PSO) using MATLAB software. Dynamic models of VSC -MTDC are developed in PSCAD/EMTDC to exalt the qualities of the presented tuning method. In this paper, a four terminal VSC -MTDC has been used under different sequence of events of disturbances e.g. load change on AC side, active power reference change for inverter and rectifier mode and disconnection of one terminal to evaluate the robustness of ACO algorithm with respect to classical method. The proposed tuning method gives superior results under different disturbance compared to conventional method.

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

Cited by 6 publications

References 33 publications

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

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

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

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

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