Fuzzy logic controller based STATCOM for voltage profile improvement in a micro-grid

2016 ◽  
Author(s):  
Kanungo Barada Mohanty ◽  
Swagat Pati
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Voltage Profile ◽  
Micro Grid ◽  
Voltage Profile Improvement

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.

Fuzzy logic controller based UPFC for voltage profile improvement in a smart grid

2020 ◽  
Author(s):  
S. D. Sundarsingh Jebaseelan ◽  
M. Kavitha ◽  
D. N. S. Ravikumar ◽  
Anderson Arul Gnana Dhas ◽  
Nivin Joy
Keyword(s):  
Fuzzy Logic ◽  
Smart Grid ◽  
Fuzzy Logic Controller ◽  
Voltage Profile ◽  
Voltage Profile Improvement

Improvement of Power Quality for Microgrid using Fuzzy Based UPQC Controller

2015 ◽  
Vol 4 (2) ◽  
pp. 37
Author(s):  
Abdul Rasheed ◽  
G. Keshava Rao
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Distributed Energy ◽  
Micro Grid ◽  
Hybrid Filters ◽  
Micro Grids

<p>Generally, the power systems are mainly effected by the continuous changes in operational requirement and increasing amount of distributed energy systems. This paper proposes a new concept of power-control strategies for a micro grid generation system for better transfer of power. The micro grids are obtained with the general renewable energy sources and this concept provides the maximum utilization of power at environmental free conditions with low losses; then the system efficiency is also improved. This paper proposes a single stage converter based micro grid to reduce the number of converters in an individual ac or dc grid. The proposed micro grid concept can work in both stand-alone mode and also in grid interfaced mode. The distortions that occur in power system due to changes in load or because of usage of non-linear loads, can be eliminated by using control strategies designed for shunt active hybrid filters such as series and shunt converters. A conventional Proportional Integral (PI) and Fuzzy Logic Controllers are used for power quality enhancement by reducing the distortions in the output power. The simulation results are compared among the two control strategies, that fuzzy logic controller and pi controller.</p>

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.

A sliding mode controller-based STATCOM for voltage profile improvement of micro-grids

2018 ◽  
Vol 15 (2) ◽  
pp. 283-291 ◽  
Author(s):  
Swagat Pati ◽  
Kanungo Barada Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Steady State ◽  
Sliding Mode ◽  
Synchronous Generator ◽  
Sliding Mode Controller ◽  
Voltage Profile ◽  
Content Type ◽  
Grid Systems ◽  
Micro Grid ◽  
Micro Grids ◽  
Voltage Profile Improvement

Purpose The purpose of this paper is to evaluate the suitability and robustness of sliding mode controller (SMC) for maintaining flat voltage profile at the load bus of two different micro-grid systems using STATCOM. Design/methodology/approach Two micro-grid systems are dynamically modelled and simulated using MATLAB/Simulink. The first micro-grid has a single diesel engine-driven synchronous generator. The second micro-grid has one diesel engine-driven synchronous generator and a doubly fed induction generator-based wind energy conversion system. The STATCOM is connected to the load bus in both the micro-grids. SMC is used for the control of STATCOM for voltage profile improvement of micro-grid. The performance of SMC-based STATCOM is analysed and compared with the performance of conventional PI controller-based STATCOM. Findings The SMCs are more suited for STATCOM control as these are more immune to load disturbances even with the presence of wind energy generators. The voltage deviations and the steady state errors in voltage are less with SMC. Although SMC introduces a bit of steady state error in the dc link voltage of the STATCOM, it is much less than the settling limit of 2 per cent, which is quite acceptable. SMC proves to be better than conventional PI controllers in both the proposed models of micro-grid. Originality/value Design of a robust first-order SMC for a STATCOM is used for voltage profile improvement in two different micro-grid systems.

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