Control of an Autonomous Hybrid Microgrid as Energy Source for a Small Rural Village

Lampiao, Americo Joaquim; Senjyu, Tomonobu; Yona, Atsushi

doi:10.11591/ijece.v7i1.pp86-99

Cited by 5 publications

(7 citation statements)

References 11 publications

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“…The power intake repute of controllable loads may be changed immediately by the command sign they acquire [26], [27]. In contrast to the same old spinning reserve-issuer power plants, there's no ramp up and down obstacles on the DR sources.…”

Section: System Modelmentioning

confidence: 99%

Introducing LQR-fuzzy for a dynamic multi area LFC-DR model

Devi¹,

Santhi²

2019

IJECE

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It is well known that Load Frequency Control (LFC) model plays a vital role in electric power system design and operation. In the literature, much research works has stated on the advantages and realization of DR (Demand Response), which has proved to be an important part of the future smart grid. In an interconnected power system, if a load demand changes randomly, both frequency and tie line power varies. LFC-DR model is tuned by standard controllers like PI, PD, PID controllers, as they have constant gains. Hence, they are incapable of acquiring desirable dynamic performance for an extensive variety of operating conditions and various load changes. This paper presents the idea of introducing a DR control loop in the traditional Multi area LFC model (called LFC -DR) using LQR- Fuzzy Logic Control. The effect of DR-CDL i.e. (Demand Response Communication Delay Latency) in the design is also considered and is linearized using Padé approximation. Simulation results shows that the addition of DR control loop with proposed controller guarantees stability of the overall closed-loop LFC-DR system which effectively improves the system dynamic performance and is superior over a classical controller at different operating scenarios.

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Section: System Modelmentioning

confidence: 99%

Introducing LQR-fuzzy for a dynamic multi area LFC-DR model

Devi¹,

Santhi²

2019

IJECE

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“…For the conventional grid tie inverter, the control technique used is called the decouple control. This technique is such that the three-phase voltage on the load bus is calculated and converted into I d and I q [4]. Comparing the respective reference I d and I q with the d q components, the given errors from the comparison are sent to the PI controller whose function is to adjust and produce the needed output voltage of the inverter.…”

Section: Integration Of Photovoltaic Energy To the Grid Using The VImentioning

confidence: 99%

“…For energy integration grid tie inverters are used to maximize energy efficiently from the source to the supply however this method cannot be proven to be more efficient as it causes disturbance to the power system and not very reliable. There is need for a mutual balance between the supply and demand side of the renewable energy interconnected to the power system [4].…”

Section: Introduction mentioning

confidence: 99%

Integration of Photovoltaic Energy to the Grid, Using the Virtual Synchronous Generator Control Technique

Nkechi¹,

Howlader²,

Yona³

2018

JEPE

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Renewable energy is becoming more popular due to its benefits for both economic and environmental reasons. Therefore, having a fault free system will enhance efficiency and proper delivery of power. This paper presents the design, modelling and simulation of a Synchronverter, analyzing its fault and response of the system during integration. A synchronous frequency regulator for grid connection is proposed to improve quick recovery, power quality enhancement and good system performance after a fault occurrence. The swing equation provides the inertia and the damping for stability, swift system integration of photovoltaic energy to the grid and an overall effective performance. The effectiveness of the proposed model was simulated in MATLAB/Simulink to analyze the system's response during and after a fault occurrence and photovoltaic integration comparing load change at different times. Simulation results and analysis are presented to validate proposed controller.

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“…Microgrid integrates various distributed energy resources close to consumer site with control and power conversion units. In the microgrid, the economic load dispatch is a major issue discussed in the literature [6]- [7].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Economic Load Dispatch of CHP Microgrid using Improved Particle Swarm Optimization

2020

IJITEE

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For the sustainable development and various industrial applications,Combined Heat -Power system offers advantages such as saving of energy, economic as well as environment protection benefits. Paper deal with dynamic economic load dispatch of C-H-P,Micro-Grid (Wind-Energy Conversion system, P-V array), Fuel Cell, Boiler(Waste-Heat), thermal and electrical loads. For this purpose, a nonlinear optimal CHP micro grid model has been built and simulated for the economic function of present power generating resources and to generate the twenty four(24) work schedule with forecasted condition of wind, solar, heat and electrical demand for next 24 hours. The methodology used for finding the solution of model is improved particle swarm optimization. Model has been tested with and without peak valley pricing. Results indicate that cost of the system is effectively reduced with peak valley pricing. The simulated results of the system with improved particle swarm optimization (IPSO) and PSO techniques have been shown and compared. The simulation results indicate that the improved PSO providesimprovised solution as compared to PSO.

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Control of an Autonomous Hybrid Microgrid as Energy Source for a Small Rural Village

Cited by 5 publications

References 11 publications

Introducing LQR-fuzzy for a dynamic multi area LFC-DR model

Introducing LQR-fuzzy for a dynamic multi area LFC-DR model

Integration of Photovoltaic Energy to the Grid, Using the Virtual Synchronous Generator Control Technique

Dynamic Economic Load Dispatch of CHP Microgrid using Improved Particle Swarm Optimization

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