Microgrid: Configurations, Control and Applications

Rezkallah, Miloud; Chandra, Ambrish; Singh, Bhim; Singh, Sanjeev

doi:10.1109/tsg.2017.2762349

Cited by 70 publications

(29 citation statements)

References 45 publications

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“…Additionally, assuming that faults in 220 kV/20 kV and 20 kV/400 V transformers are T1 and T2 respectively, and in the 4.9 km long transmission line is N1, the TOP event to load L1 can be found as described in Figure 10. Note that, as previously mentioned in Section 4.3, it was necessary to find all paths between the load L1 and the sources S1 and S2, which are contained in L1's TOP event (isolated mode failure without k-terminal) showed in Equation (9).…”

Section: K-terminal Problemmentioning

confidence: 99%

“…In this context, the concept of Smart Grid arises as an intelligent power grid. This infrastructure is an enhancement of existing power grids enabling benefits such as: efficient transmission of electricity, better restoration of services under power disturbances, integration of power generation systems and security issues [8,9]. The integration of renewable energy with the existing power grid is one of the most important benefits when considering the application of a smart grid.…”

Section: Introductionmentioning

confidence: 99%

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A Methodology for Dependability Evaluation of Smart Grids

et al. 2019

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Smart grids are a new trend in electric power distribution, which has been guiding the digitization of electric ecosystems. These smart networks are continually being introduced in order to improve the dependability (reliability, availability) and efficiency of power grid systems. However, smart grids are often complex, composed of heterogeneous components (intelligent automation systems, Information and Communication Technologies (ICT) control systems, power systems, smart metering systems, and others). Additionally, they are organized under a hierarchical topology infrastructure demanded by priority-based services, resulting in a costly modeling and evaluation of their dependability requirements. This work explores smart grid modeling as a graph in order to propose a methodology for dependability evaluation. The methodology is based on Fault Tree formalism, where the top event is generated automatically and encompasses the hierarchical infrastructure, redundant features, load priorities, and failure and repair distribution rates of all components of a smart grid. The methodology is suitable to be applied in early design stages, making possible to evaluate instantaneous and average measurements of reliability and availability, as well as to identify eventual critical regions and components of smart grid. The study of a specific use-case of low-voltage distribution network is used for validation purposes.

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Section: K-terminal Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Methodology for Dependability Evaluation of Smart Grids

et al. 2019

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“…On the other side, FSDG operates at low fuel efficiency and increases the carbon emission during light load conditions due to constant speed operation [16]. To overcome this issue, VSDG are deployed at the increased cost and control complexity [17]. Hence, FSDG dominates VSDG and finds wide potential in low voltage and medium power applications.…”

Section: Introductionmentioning

confidence: 99%

Effective power management scheme for PV‐Battery‐DG integrated standalone DC microgrid

Pannala

Padhy

Agarwal

2020

IET Electric Power Applications

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Standalone DC microgrids (SDCMGs) are emerging as prominent solutions to remote customers. As these SDCMGs mainly depend on renewable energy sources to curb carbon emission, reliability of the system is lessened due to their intermittent nature. The battery could offer a solution to this problem as it is inherently enclosed by DC grid for power balancing, but the purpose may not be served completely due to high capital cost and maintenance. Thus, the diesel generator (DG) becomes a major alternative to overcome this issue because of low investment, high compatibility, and flexibility. However, DG inhibits with cranking delay, sluggish response and low fuel efficiency under frequent switching and variable loading scenarios. To suppress the issues, a new power management strategy (PMS) is developed to ensure proper coordination between different sources, storage devices and loads in SDCMG. In addition to this, an effective control scheme is also proposed to achieve seamless regulation of DC bus voltage even under extreme conditions. In this study, different SDCMG configuration is considered for testing and simulation of system is carried out in real‐time digital simulator to prove their viability. A scaled prototype is developed to validate simulation results and authenticate proposed PMS and control scheme.

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“…These solutions are effective from the point of view of fuel consumption but hard to implement in practice. Recently, in [12], many technical solutions with reduced number of power converters, are suggested to reduce the complexity of hybrid standalone system and achieve high performance from the available energy sources (ESs) in isolated localities.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Implementation of Robust Control Strategies Based on Sliding Mode Control for Standalone Microgrids Supplying Non-Linear Loads

2018

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In this paper enhanced control strategies for standalone microgrids based on solar photovoltaic systems (SVPAs) and diesel engine driven fixed speed synchronous generators, are presented. Single-phase d-q theory-based sliding mode controller for voltage source converter voltage source converter (VSC) is employed to mitigate harmonics, balance diesel generator (DG) current, and to inject the generated power by SVPA into local grid. To achieve fast dynamic response with zero steady-state error during transition, sliding mode controller for inner control loop is employed. To achieve maximum power point tracking (MPPT) from SVPA without using any MPPT method, a DC-DC buck boost converter supported by battery storage system is controlled using a new control strategy based on sliding mode control with boundary layer. In addition, modeling and detailed stability analysis are performed. The performance of the developed control strategies, are validate by simulation using MATLAB/Simulink and in real-time using hardware prototype.

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Microgrid: Configurations, Control and Applications

Cited by 70 publications

References 45 publications

A Methodology for Dependability Evaluation of Smart Grids

A Methodology for Dependability Evaluation of Smart Grids

Effective power management scheme for PV‐Battery‐DG integrated standalone DC microgrid

Real-Time Implementation of Robust Control Strategies Based on Sliding Mode Control for Standalone Microgrids Supplying Non-Linear Loads

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