scholarly journals Fuzzy Logic Controller for Voltage and Frequency Stabilization in DC decoupled Micro grid system

2019 ◽  
Vol 8 (6) ◽  
pp. 3179-3186
Keyword(s):  
Solar Wind ◽  
Fuzzy Logic ◽  
Fuel Cell ◽  
Power Management ◽  
Fuzzy Logic Controller ◽  
Maximum Power ◽  
Grid System ◽  
Constant Voltage ◽  
Micro Grid ◽  
Bidirectional Power Flow

An efficient Fuzzy Logic Controller (FLC) is proposed for maintaining constant voltage and frequency in a Decoupled DC micro grid system. The micro grid is modeled with solar, wind turbine, Fuel cell, battery and loads. Individual fuzzy MPPT (Maximum Power Point Tracking) controllers have proposed for solar, wind and fuel cell to extract maximum power from the sources and also to maintain constant voltage at DC bus. For the bidirectional power flow among the buses in the micro grid with power management strategy, an efficient Fuzzy logic controller is proposed for the bidirectional converter connected between DC and AC buses. The performance indices such as ITAE, ITSE, and settling time, rise time of DC link voltage has determined and it is being compared with the conventional Proportional Integral (PI) controller to endorse the performance of the proposed FLC. The results prove that the FLC has better performance in all aspects and it is more suitable for the power management in micro grid

scholarly journals A New ANFIS-based Peak Power Curtailment in Microgrids Including PV Units and BESSs

2018 ◽  
Author(s):  
Srete Nikolovski ◽  
Hamid Reza Baghaee ◽  
Dragan Mlakić
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Peak Load ◽  
Real Life ◽  
Energy Output ◽  
Grid System ◽  
Renewable Energy Resources ◽  
Inference System ◽  
Micro Grid

One of the most crucial and economically beneficial tasks for energy customer is peak load curtailment. On account of the fast response of renewable energy resources (RERs) such as photovoltaic (PV) units and battery energy storage system (BESS), this task is closer to be efficiently implemented. Depends on the customer peak load demand and energy characteristics, the feasibility of this strategy may warry. When adaptive neuro-fuzzy inference system (ANFIS) is exploited for forecasting, it can provide many benefits to address the above-mentioned issues and facilitate its easy implementation, with short calculating time and re-trainability. This paper introduces a data driven forecasting method based on fuzzy logic for optimized peak load reduction. First, the amount of energy generated by PV is forecasted using ANFIS which conducts output trend, and then, the BESS capacity is calculated according to the forecasted results. The trend of the load power is then decomposed in Cartesian plane into two parts, left and right from load peak, searching for BESS capacity equal. Network switching sequence over consumption is provided by a fuzzy logic controller (FLC) with respect to BESS capacity and PV energy output. Finally, to prove the effectiveness of the proposed ANFIS-based peak shaving method, offline digital time-domain simulations have been performed on a real-life practical test micro grid system in MATLAB/Simulink environment and the results have been experimentally verified by testing on a practical micro grid system with real-life data obtained from smart meter and also, compared with several previously-reported methods.

Performance improvement of a STATCOM using fuzzy controller for isolated generator

2018 ◽  
Vol 15 (2) ◽  
pp. 273-282 ◽  
Author(s):  
Swagat Pati ◽  
Kanungo Barada Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Performance Comparison ◽  
Grid System ◽  
Voltage Profile ◽  
Content Type ◽  
Single Generator ◽  
Micro Grid

Purpose This paper aims to demonstrate the efficacy of fuzzy logic controller (FLC) over proportional integral (PI) and sliding mode controller (SMC) for maintaining flat voltage profile at the load bus of a single-generator-based micro-grid system using STATCOM. Design/methodology/approach A STATCOM is used to improve the voltage profile of the load bus. The performance of the STATCOM is evaluated by using three different controllers: PI controllers, FLCs and SMCs. The performance comparison of the controllers is done with different dc bus voltages, different load bus voltage references, various loads such as R-L loads and dynamic loads. Findings A comparative analysis is done between the performances of the three different controllers. The comparative study culminates that FLC is found to be superior than the other proposed controllers. SMC is a close competitor of fuzzy controller. Originality/value Design of fuzzy logic and SMCs for a STATCOM implemented in a single-generator-based micro-grid system is applied.

scholarly journals Enhancement of Power Quality in Power Grid System using Dual Voltage Source Inverter

2019 ◽  
Vol 8 (2) ◽  
pp. 827-832
Keyword(s):  
Fuzzy Logic ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Power Grid ◽  
Pi Controller ◽  
Voltage Source ◽  
Grid System ◽  
Voltage Source Inverter ◽  
Nonlinear Load ◽  
Micro Grid

In power grid system power quality improvement plays an important role. Dual Voltage Source Inverter (DVSI) scheme is proposed to improve the aspects of Power and consistency of the micro grid system. Here we use Distributed Energy Resources (DER) for power exchange and unbalanced load compensation and nonlinear load in the system. Load sharing and power injections are done by grid interactive inverters in micro-grid. Based on Instantaneous Symmetrical Component Theory (ISCT), control algorithm is developed. For extraction of positive sequence voltage, dq0 transformation is done. An inverter connected to a 3- phase four- wire distribution combination is employed to test the managing strategy of the system. In this work we mainly focused on the assessment of overall performance of Proportional Integral (PI) controller and Fuzzy Logic Controller (FLC). Thus, the FLC provides increase in reliability, better performance of micro grid, less bandwidth requirements of inverters when compared to PI controller. The proposed system is validated by MATLAB simulation methods using PI controller and Fuzzy Logic Controller.

Frequency control of PV-connected micro grid system using fuzzy logic controller

2020 ◽  
Author(s):  
T. Rajesh ◽  
B. Gunapriya ◽  
M. Sabarimuthu ◽  
S. Karthikkumar ◽  
R. Raja ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Grid System ◽  
Micro Grid

Design and Optimization of a Power Management Strategy for a Fuel Cell-Battery Hybrid Vehicle

2010 ◽  
Author(s):  
Ahmad Fadel ◽  
Biao Zhou
Keyword(s):  
Fuzzy Logic ◽  
Fuel Cell ◽  
Power Management ◽  
Power Distribution ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
System Modeling ◽  
Hybrid Vehicle ◽  
Training Data ◽  
Optimization Approach

The implementation of a fuel cell-battery hybrid vehicle requires a supervisory control strategy that will manage the power distribution between the fuel cell and the battery. Fuzzy logic is one of the most commonly used control methods for this application. However, the disadvantage with this type of control is that there are no clear methods to determining the training data for the fuzzy logic controller and thus, most controllers developed in literature rely on experience in designing the fuzzy logic parameters. This paper presents an alternative local optimization approach that does not require prior knowledge of the driving cycle. In order to validate the effectiveness of the optimization approach, standard performance measures that consider battery life, fuel consumption and system efficiency are developed in this paper. The mathematical system modeling in this paper is based on a small SAE Baja vehicle powertrain. The design process of two different power management strategies (one using fuzzy logic and another using optimization) are presented, the mathematical model is then used to simulate and compare the results obtained from each control method.

scholarly journals Practical Maximum-Power Extraction in Single Microbial Fuel Cell by Effective Delivery through Power Management System

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2312
Author(s):  
Jeongjin Yeo ◽  
Taeyoung Kim ◽  
Jae Jang ◽  
Yoonseok Yang
Keyword(s):  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Power Management ◽  
Operation Time ◽  
Electrical Energy ◽  
Maximum Power ◽  
Extraction Technology ◽  
Power Extraction ◽  
Point Tracking ◽  
Power Point

Power management systems (PMSs) are essential for the practical use of microbial fuel cell (MFC) technology, as they replace the unstable stacking of MFCs with step-up voltage conversion. Maximum-power extraction technology could improve the power output of MFCs; however, owing to the power consumption of the PMS operation, the maximum-power extraction point cannot deliver maximum power to the application load. This study proposes a practical power extraction for single MFCs, which reserves more electrical energy for an application load than conventional maximum power-point tracking (MPPT). When experimentally validated on a real MFC, the proposed method delivered higher output power during a longer PMS operation time than MPPT. The maximum power delivery enables more effective power conditioning of various micro-energy harvesting systems.

scholarly journals High-Flexibility MPPT Techniques with Communication Scan Network for PV Micro-Grid System

Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 117
Author(s):  
Yu-Kai Chen ◽  
Hong-Wen Hsu ◽  
Chau-Chung Song ◽  
Yu-Syun Chen
Keyword(s):  
Output Voltage ◽  
High Efficiency ◽  
Maximum Power ◽  
Global Maximum ◽  
Switching Frequency ◽  
Grid System ◽  
Pv System ◽  
In Series ◽  
Micro Grid ◽  
High Flexibility

This paper proposes the design and implementation of inductor-inductor-capacitor (LLC) converters with modules connected in series with the power scan method and communication scan network (CSN) to achieve MPPT and regulate the output voltage for the PV micro-grid system. The Dc/Dc converters includes six isolated LLC modules in series to supply ±380 V output voltage and track the maximum power point of the PV system. The series LLC converters are adopted to achieve high efficiency and high flexibility for the PV micro-grid system. The proposed global maximum power scan technique is implemented to achieve global maximum power tracking by adjusting the switching frequency of the LLC converter. To improve the system flexibility and achieve system redundancy, module failure can be detected in real time with a communication scan network, and then the output voltage of other modules will be changed by adjusting the switching frequency to maintain the same voltage as before the failure. Additionally, the proposed communication scan network includes the RS-485 interface of the MPPT series module and the CAN BUS communication interface with other subsystems’ communication for the PV micro-grid application system. Finally, a 6 kW MPPT prototype with a communication scan network is implemented and the proposed control method is verified for the PV system.

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