Dynamic behavior improvement in a microgrid with multiple DG units using a power sharing approach

Shahabi, Majid; Haghifam, Mahmoud Reza; Mohamadian, Mustafa; Nabavi-Niaki, S.A.

doi:10.1109/ptc.2009.5282145

Cited by 15 publications

(11 citation statements)

References 14 publications

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“…They are set to operate in a constant power mode and that is to provide fixed level of real power at high power factor (PF), while the grid frequency and voltage levels are determined by the utility control systems. The governor system attached with those DG units is responsible for providing that constant level of real power, while the excitation and automatic voltage regulation system ensures the constant reactive power output through automatic voltage regulation reference [14,21].…”

Section: Conditions For Islanding and Grid-connected Operationmentioning

confidence: 99%

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Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

et al. 2016

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Abstract:In this paper a realistic medium voltage (MV) network with four different distributed generation technologies (diesel, gas, hydro and wind) along with their excitation and governor control systems is modelled and simulated. Moreover, an exponential model was used to represent the loads in the network. The dynamic and steady state behavior of the four distributed generation technologies was investigated during grid-connected operation and two transition modes to the islanding situation, planned and unplanned. This study aims to address the feasibility of planned islanding operation and to investigate the effect of unplanned islanding. The load sharing islanding method has been used for controlling the distributed generation units during grid-connected and islanding operation. The simulation results were validated through various case studies and have shown that properly planned islanding transition could provide support to critical loads at the event of utility outages. However, a reliable protection scheme would be required to mitigate the adverse effect of unplanned islanding as all unplanned sub-cases returned severe negative results.

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Section: Conditions For Islanding and Grid-connected Operationmentioning

confidence: 99%

“…If this is not the case, then existing governor and excitation control systems remain operating at a predefined reference values chosen according to international standards for safe and stable operation whilst in the islanding mode [14,21].…”

Section: Conditions For Islanding and Grid-connected Operationmentioning

confidence: 99%

Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

et al. 2016

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“…The voltage reference for the converter is selected based on the PC frequency and calculated angle from (4). For example, the reference voltage setting for phase A can be given as (5) where V m is the voltage magnitude calculated from the voltage droop in (2), f pc is the PLL frequency and φ is the angle calculated from (4). It is to be noted that the proposed method is only applicable if there is at least one inertial DG already connected to the microgrid.…”

Section: Droop Control With Both Inertial and Non-inertial Dgsmentioning

confidence: 99%

“…Thus power management strategies are vital for an autonomous microgrid in the presence of few small DG units, where no single dominant energy source is present to supply the energy requirement [4]. Also, fast and flexible power control strategies are necessary to damp out transient power oscillations in an autonomous microgrid where no infinite source available [5].…”

Section: Introductionmentioning

confidence: 99%

Dynamic response of distributed generators in a hybrid microgrid

Dewadasa

Ghosh

Ledwich

2011

2011 IEEE Power and Energy Society General Meeting

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A microgrid may be supplied from inertial (rotating type) and non-inertial (converter-interfaced) distributed generators (DGs). However the dynamic response of these two types of DGs is different. Inertial DGs have a slower response due to their governor characteristics while non-inertial DGs have the ability to respond very quickly. The focus of this paper is to propose better controls using droop characteristics to improve the dynamic interaction between different DG types in an autonomous microgrid. The transient behavior of DGs in the microgrid is investigated during the DG synchronization and load changes. Power sharing strategies based on frequency and voltage droop are considered for DGs. Droop control strategies are proposed for DGs to improve the smooth synchronization and dynamic power sharing minimizing transient oscillations in the microgrid. Simulation studies are carried out on PSCAD for validation.

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“…Nowadays, deregulation of energy market with distribution and supply of energy and availability of small size efficient generators enables distributed generation (DG) to play an important role to satisfy the expanding power demand [1].…”

Section: Introductionmentioning

confidence: 99%

Operation and control of a distributed microgrid with hybrid system

Goyal

Gupta

2012

2012 IEEE 5th India International Conference on Power Electronics (IICPE)

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This paper demonstrates the power sharing control of a distributed microgrid operating in an islanding mode with hybrid system. The microgrid with hybrid system consists of a wind generator, diesel generator and dummy load. The proposed wind-diesel system can operate in three modes: wind only, both wind and diesel and diesel only. A voltage source inverter (VSI) is used that operates in a current control mode in order to achieve the objectives of real power injection and load compensation. Simulation studies are performed using PSCAD tool to validate the proposed scheme.

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Dynamic behavior improvement in a microgrid with multiple DG units using a power sharing approach

Cited by 15 publications

References 14 publications

Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

Distributed Generation Islanding Effect on Distribution Networks and End User Loads Using the Load Sharing Islanding Method

Dynamic response of distributed generators in a hybrid microgrid

Operation and control of a distributed microgrid with hybrid system

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