Hierarchical Structure of Microgrids Control System

Bidram, Ali; Davoudi, Ali

doi:10.1109/tsg.2012.2197425

Cited by 1,300 publications

(718 citation statements)

References 73 publications

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“…The hierarchy is organized in three levels [23] related issues, such as optimal dispatching, operation scheduling and optimization for different objectives. Based on this definition, this paper proposes a hierarchical control for actualizing optimal unbalance compensation and MPQL control, as shown in Fig.…”

Section: Hierarchical Control For Voltage Unbalance Compensation mentioning

confidence: 99%

Tertiary control of voltage unbalance compensation for optimal power quality in islanded microgrids

Meng

Tang

Savaghebi

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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, "Tertiary control of voltage unbalance compensation for optimal power quality in islanded microgrids," IEEE Trans. Energy Conv., 2014, IEEE Early access. Abstract-In multi-bus islanded microgrids, the power quality requirements for different areas and buses can be different. This paper proposes a hierarchical control to realize optimal unbalance compensation for satisfying the power quality requirements in different areas. Primary and secondary controllers are applied to realize unbalance compensation for critical bus (CB) and at the same time, to make distributed generators (DGs) equally share the compensation efforts. Tertiary control, which inherently is an optimization method, is implemented to adjust the compensating effort of each DG considering the voltage unbalance limits in local buses and DG terminals. This method realizes multi-power-quality-level control in a multi-bus islanded system by optimally utilizing DGs as distributed compensators and saves the investment for additional compensation equipment. VUFUpper limits of VUF value on LB or DG sides.

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Section: Hierarchical Control For Voltage Unbalance Compensation mentioning

confidence: 99%

Tertiary control of voltage unbalance compensation for optimal power quality in islanded microgrids

Meng

Tang

Savaghebi

et al. 2016

2016 IEEE Power and Energy Society General Meeting (PESGM)

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“…Microgrids can be seen as miniature versions of the larger utility grid except that, when necessary, they can disconnect from the main grid and can continue to operate in 'islanded mode' [1]. Despite their potential advantages, the use of renewable sources inserts uncertainty into the system, due to their output profile which strongly depends on local weather conditions: in some cases the lack of monitoring and control of these energy sources might contribute to the instability of the electric grid [2], [3]. For these reasons, one of the main challenges in the development of microgrids is to deploy a control system to manage controllable loads and guarantee grid stability with minimum the energy cost.…”

Section: Introductionmentioning

confidence: 99%

A supervisory approach to microgrid demand response and climate control

Korkas

Baldi

Michailidis

et al. 2016

2016 24th Mediterranean Conference on Control and Automation (MED)

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Abstract-Microgrids equipped with small-scale renewableenergy generation systems and energy storage units offer challenging opportunity from a control point of view. In fact, in order to improve resilience and enable islanded mode, microgrid energy management systems must dynamically manage controllable loads by considering not only matching energy generation and consumption, but also thermal comfort of the occupants. Thermal comfort, which is often neglected or oversimplified, plays a major role in dynamic demand response, especially in front of intermittent behavior of the renewable energy sources. This paper presents a novel control algorithm for joint demand response management and thermal comfort optimization in a microgrid composed of a block of buildings, a photovoltaic array, a wind turbine, and an energy storage unit. In order to address the large-scale nature of the problem, the proposed control strategy adopt a two-level supervisory strategy: at the lower level, each building employs a local controller that processes only local measurements; at the upper level, a centralized unit supervises and updates the three controllers with the aim of minimizing the aggregate energy cost and thermal discomfort of the microgrid. Comparisons with alternative strategies reveal that the proposed supervisory strategy efficiently manages the demand response so as to sensibly improve independence of the microgrid with respect to the main grid, and guarantees at the same time thermal comfort of the occupants.

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“…These microgrids are defined as electric power systems that: have distributed renewable and thermal energy generation as well as conventional and dispatchable loads. They also have the ability to operate while connected or disconnected from the main power grid [12,40,41,65]. The high penetration of renewable energy resources introduces new dynamics into these microgrids at all timescales [5,17].…”

Section: Introduction: Resilience In Power System Coordination and Controlmentioning

confidence: 99%

“…These include a primary and a secondary control and a tertiary dispatch. Many microgrid control and optimization developments have drawn from this traditional hierarchical approach with customizations to account for the unique features found in microgrids [12,40,41,65]. Generally speaking, each of these layers have typically been addressed individually despite their interdependence.…”

Section: Introduction: Resilience In Power System Coordination and Controlmentioning

confidence: 99%

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Farid

2015

Intell Ind Syst

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Recently, the academic and industrial literature has coalesced around an enhanced vision of the electric power grid that is intelligent, responsive, dynamic, adaptive and flexible. One particularly emphasized "smart-grid" property is that of resilience where healthy regions of the grid continue to operate while disrupted and perturbed regions bring themselves back to normal operation. Multi-agent systems have recently been proposed as a key enabling technology for such a resilient control scheme. While the power system literature has often addressed multi-agent systems, many of these works did not have resilience as the central design intention. This paper now has a two-fold purpose. First, it seeks to identify a set of multi-agent system design principles for resilient coordination and control of future power systems. To that end, it draws upon an axiomatic design for large flexible engineering systems model which was recently used in the development of resilience measures. From this quantitative model, a set of design principles are easily distilled. Second, the paper assesses the adherence of existing multi-agent system implementations with respect to these design principles. The paper concludes that while many multi-agent systems have been developed for power grids, they have been primarily intended as the decentralization of a particular decision-making/control algorithm. Thus many of the works make only limited contributions to power grid resilience.B Amro M. Farid

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Hierarchical Structure of Microgrids Control System

Cited by 1,300 publications

References 73 publications

Tertiary control of voltage unbalance compensation for optimal power quality in islanded microgrids

Tertiary control of voltage unbalance compensation for optimal power quality in islanded microgrids

A supervisory approach to microgrid demand response and climate control

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

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