Dynamic load shedding for an islanded microgrid with limited generation resources

Gao, Haixiang; Chen, Ying; Xu, Yin; Liu, Chen‐Ching

doi:10.1049/iet-gtd.2015.1452

Cited by 57 publications

(38 citation statements)

References 33 publications

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“…In order to prevent the frequency collapse, the microgrid should be equipped with a fast and automatic load shedding scheme. The two vastly used load shedding techniques are static and dynamic schemes [34,35]. However, the most common practical load shedding scheme is the static one, and hence an advanced static load shedding scheme is implemented in this work.…”

Section: Load Shedding Schemementioning

confidence: 99%

Real Time-Based under Frequency Control and Energy Management of Microgrids

2020

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In this paper, an efficient under frequency control and the energy management of a distributed energy resources (DERs)-based microgrid is presented. The microgrid is composed of a photovoltaic (PV), double-fed induction generator (DFIG)-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy are developed in a real time digital simulator (RTDS). The coordination and power management of the DERs in both grid-connected and islanded operation modes are implemented. During power imbalances and frequency fluctuations caused by fault or islanding, an advanced automatic load shedding control is implemented to regulate and maintain the microgrid frequency at its rated value. One distinct feature implemented for the load shedding operation is that highly unbalanced critical loads are connected to the microgrid. The diesel generator provides the required inertia in the islanded mode to maintain the microgrid rated frequency by operating in the isochronous mode. The International Council on Large Electric Systems (CIGRE) medium voltage (MV) test bench system is used to implement the DERs and their controller. The proposed control approach has potential applications for the complete operation of microgrids by properly controlling the power, voltage and frequency in both grid-connected and island modes. The real time digital simulator results verify the effectiveness and superiority of the proposed control scheme in grid connected, island and fault conditions.

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Section: Load Shedding Schemementioning

confidence: 99%

Real Time-Based under Frequency Control and Energy Management of Microgrids

2020

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“…In [14], a defense resource planning and DG allocation problem against multi-period attacks is suggested to preserve the energy supply and mitigate the attack damage respectively. In [15], [16], corrective operations based on battery energy management and load shedding strategies are adopted to maximize economic performance or load survivability during extreme events. However, the outage duration is assumed to be known in [15], [16].…”

Section: Ac(dc) Side Variables ∆Ementioning

confidence: 99%

Resilience-Driven Modeling, Operation and Assessment for a Hybrid AC/DC Microgrid

2020

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High-impact and low-probability extreme events can cause severe damage to power systems, especially for distribution systems. Microgrids (MGs) with distributed generation resources provide a viable solution for local load survivability via islanding schemes during extreme events. Recently, much research has focused on resilience-driven modeling and operations of MGs. In this paper, a resiliencedriven operational model incorporating two operational modes (grid-connected and islanded) and detailed technical characteristics, such as voltage-related operational constraints, is developed for the resilience enhancement of a hybrid AC/DC MG. A detailed AC optimal power flow (OPF) algorithm is employed to model operational constraints and the power exchange between AC and DC subgrids. Preventive power importing is utilized for better preparedness before extreme events and demand response is employed to reduce load shedding during emergency mode. Existing literature on resilience assessment is reviewed and a modified multi-phase curve is proposed to fully represent the influence of limited generation resources and uncertain event duration on resilience. Extensive case studies capturing the distinction of critical loads and non-critical loads and two types of contingencies (multiple line faults and interrupted connection between AC subgrid and DC subgrid) are conducted to demonstrate the effectiveness of the proposed resilience strategy on protecting critical loads and reducing total load shedding. Particularly, a sensitivity analysis considering different event occurrence time has been simulated to capture, in a simple but rather effective way, the effect of the uncertainty surrounding event occurrence.

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“…In general, a load shedding algorithm finds the most stable equilibrium operating point for the system with the fewest shed demands. In other words, a load shedding algorithm is designed to make full use of limited generation resources and maximize the beneficial performance [6]. In this study, we propose a load shedding algorithm for the optimization problem in a centralized architecture of an islanded MG. We use the satisfaction of an MG system player as performance criteria.…”

Section: Introductionmentioning

confidence: 99%

Optimal Load Shedding for Maximizing Satisfaction in an Islanded Microgrid

2017

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Abstract:A microgrid (MG) is a discrete energy system that can operate either in parallel with or independently from a main power grid. It is designed to enhance reliability, carbon emission reduction, diversification of energy sources, and cost reduction. When a power fault occurs in a grid, an MG operates in an islanded manner from the grid and protects its power generations and loads from disturbance by means of intelligent load shedding. A load shedding is a control procedure that results in autonomous decrease of the power demands of loads in an MG. In this study, we propose a load shedding algorithm for the optimization problem to maximize the satisfaction of system components. The proposed algorithm preferentially assigns the power to the subdemand with a high preference to maximize the satisfaction of power consumers. In addition, the algorithm assigns the power to maximize the power sale and minimize the power surplus for satisfaction of power suppliers. To verify the performance of our algorithm, we implement a multi-agent system (MAS) on top of a conventional development framework and assess the algorithm's adaptability, satisfaction metric, and running time.

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Dynamic load shedding for an islanded microgrid with limited generation resources

Cited by 57 publications

References 33 publications

Real Time-Based under Frequency Control and Energy Management of Microgrids

Real Time-Based under Frequency Control and Energy Management of Microgrids

Resilience-Driven Modeling, Operation and Assessment for a Hybrid AC/DC Microgrid

Optimal Load Shedding for Maximizing Satisfaction in an Islanded Microgrid

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