Survey on Microgrid: Power Quality Improvement Techniques

Natesan, Chitra; Ajithan, Senthil Kumar; Palani, P. Bahavan; Kandhasamy, Prabaakaran

doi:10.1155/2014/342019

Cited by 29 publications

(12 citation statements)

References 29 publications

(53 reference statements)

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“…The synchronous static compensator (STATCOM) connected with the system will reduce the effect of harmonics by injecting harmonic current into the system and also supply the reactive power demand of the system. In the proposed HPS system a STATCOM [23,24,36,37] is used to regulate the bus voltage and to mitigate the harmonics injected into the system due to nonlinear load. The STATCOM is capable of regulating the bus voltage by absorbing or generating reactive power.…”

Section: Power Quality Improvement In Hybrid Microgridmentioning

confidence: 99%

Intelligent energy management control for independent microgrid

Bogaraj

Kanakaraj

2016

Sādhanā

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This work presents a new adaptive scheme for energy management in an independent microgrid. The proposed energy management system has been developed to manage the utilization of power among the hybrid resources and energy storage system in order to supply the load requirement based on multi-agent system (MAS) concept and predicted renewable powers and load powers. Auto regressive moving average models have been developed for predicting the wind speed, atmospheric temperature, irradiation, and connected loads. The structure proposed in this paper includes renewable sources as primary source and storage system as secondary source. A wind generator and solar PV array system together acts as primary source, which supplies power to the local load most of the time in this energy management strategy. When they fail to meet the load demand, the secondary source present in the system will assist the primary source and help to attain the goal of satisfying load demand without interruption. If the primary source and secondary source together are not able to meet the load demand then load shedding will be executed according to the priority set. Thus the developed MAS algorithm co-ordinates the hybrid system components and achieves energy management among renewable energy sources, storage units, and load under varying environmental conditions and varying loads. STATCOM based compensation has been implemented to balance the reactive power demand and to mitigate the voltage fluctuations and harmonics on the AC bus. The proposed microgrid has been simulated with MAS concept in Matlab/Simulink environment. The results presented in this paper show cases the effectiveness of the proposed energy management controller.

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Section: Power Quality Improvement In Hybrid Microgridmentioning

confidence: 99%

Intelligent energy management control for independent microgrid

Bogaraj

Kanakaraj

2016

Sādhanā

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“…A DG agglomeration forms a microgrid (MG), term first used in 2001 [20], which can function either connected to the grid or in isolation. The impact upon power quality relies on the MG connection to the DG [21].…”

Section: Characteristics Of Photovoltaic Generationmentioning

confidence: 99%

Power Quality Experimental Analysis on Rural Home Grid-Connected PV Systems

Pinto

Mariano

Calado

2015

International Journal of Photoenergy

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Microgeneration is the small-scale generation of heat or electric power or both, by individuals or buildings to meet their own needs. Recently, microgeneration is being regarded as a means to decentralize the power production of renewable energies, reducing the impacts on the grid caused by unexpected energy demands. Given the increase in microgeneration facilities, determining the quantity of energy produced and the power quality assumes growing importance in low, medium, or high voltage facilities. This paper presents a power quality analysis of two different facilities with photovoltaic generation localized in a rural area of Portugal, describing the voltage and frequency behaviour, the harmonic contents, and the total harmonic distortion. Statistical data are presented regarding the number of voltage events and occurrence of dips and swells in both facilities as a percentage of rated voltage. We conclude that some PV systems can severely affect voltage quality, forcing the grid to work at and even above the maximum voltage standard limit.

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“…The power microgrid facilitates the integration of DG units in the power network. Microgrid comprises of generation units, load and energy storage devices at transmission or distribution level in the power network [5,6]. The efficiency of the microgrid in the power network depends on the control mechanism.…”

Section: Introductionmentioning

confidence: 99%

A Novel Mathematical Approach to Model Multi-Agent-Based Main Grid and Microgrid Networks for Complete System Analysis

et al. 2022

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Penetration of renewable energy resources in modern power systems has increased rapidly. The integration of different renewable and nonrenewable resources for the purpose of electricity generation is referred to as Distributed Generation (DG) units. The penetration of DG units gave birth to the concept of power microgrid. Power inverters play a major role in the integration of DGs in the power system. Control and stability analysis of microgrids in power systems is a challenging task for the control community. Dynamic microgrid modeling demands knowledge of fundamental engineering laws to detailed theoretical analysis. To model the dynamic behavior of the power microgrid, a basic understanding of the power converter operation modes and their control schemes is necessary. The main microgrid modeling components are power converters, power lines, transformers, protection systems, load, and faults. In this paper, preliminary concepts of power systems along with graph theoretic approach are used to develop the model of the microgrid and main grid networks. A mathematical model of a power microgrid in islanded mode, as well as the grid-connected mode, is developed and comprises of generation sources, power inverter interface, protection mechanism, load, faults, and transmission lines. The developed mathematical model can be used to address the stability issues as well as resilience in the power networks for complete system analysis. To validate the mathematical model, a renewable energy-based main grid and microgrid model is simulated. The graphical result of simulated model presents the generation and load curves.

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Survey on Microgrid: Power Quality Improvement Techniques

Cited by 29 publications

References 29 publications

Intelligent energy management control for independent microgrid

Intelligent energy management control for independent microgrid

Power Quality Experimental Analysis on Rural Home Grid-Connected PV Systems

A Novel Mathematical Approach to Model Multi-Agent-Based Main Grid and Microgrid Networks for Complete System Analysis

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