Coordinated Multilayer Control for Energy Management of Grid-Connected AC Microgrids

Mahmud, Khizir; Sahoo, Animesh; Ravishankar, Jayashri; Zhang, Dong

doi:10.1109/tia.2019.2931490

Cited by 38 publications

(25 citation statements)

References 27 publications

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“…So far, the closed-loop system composed of (16) and 20is obtained. The following lemma shows that the exponential stability of system composed of (16) and (20) implies the solvability of power sharing problem. (10) if the closed-loop system composed of (16 ) and (20) is exponentially stable.…”

Section: Closed-loop Dynamics Wrt (8) (10b) and (10c)mentioning

confidence: 99%

“…On one hand, the exponential stability of system composed of (16) and (20) gives (13) and (19), which in turn implies that lim t→∞ e i (t) = 0. On the other hand, the exponential stability of system composed of (16) and (20) can also guarantee the boundness of the states y 0 , i , y i , i , and i , so are the states of the original system by viewing the linear transformations (12) and (18). The proof is thus complete.…”

Section: Lemma 2 the Power Sharing Problem Is Solved Bymentioning

confidence: 99%

“…Lemma 3. There exist sufficient large positive real numbers k i , K i , i = 1, … , N, such that the closed-loop system composed of (16) and (20) is exponentially stable.…”

Section: Stability Analysismentioning

confidence: 99%

“…From Lyapunov theorem, it can be concluded that the origin of the closed-loop system composed of (16) and 20…”

Section: Stability Analysismentioning

confidence: 99%

“…The droop control method was applied for microgrids in grid-connected mode. [13][14][15][16] Note that the key to the success of droop control lies in that there is no dominating frequency or voltage magnitude in the system when the droop characteristics are applied for power sharing. However, for grid-connected mode, the frequency and voltage magnitude of the microgrid at the point of common coupling are clamped by the stiff main grid.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A unified distributed robust control framework for power sharing of grid‐connected dispatchable distributed generator cluster

Su¹,

Tu²,

Cai

2020

Adv Control Appl

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Summary In this paper, a unified distributed robust control framework is proposed to address the power sharing problem for a cluster of dispatchable distributed generators (DDGs) within a grid‐connected AC microgrid. In contrast to the existing results, the advantages of the proposed control design are threefold. First, the unified design can directly handle the dynamics of the closed‐loop system by Lyapunov analysis without the assumption on time scale separation. Second, the canonical internal model is adopted so that the controller is able to undertake arbitrarily large parametric uncertainties. Last not least, the associated control gains can be obtained once and for all following the standard procedure. Comprehensive numerical simulations are provided for performance validation.

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Section: Closed-loop Dynamics Wrt (8) (10b) and (10c)mentioning

confidence: 99%

Section: Lemma 2 the Power Sharing Problem Is Solved Bymentioning

confidence: 99%

“…Lemma 3. There exist sufficient large positive real numbers k i , K i , i = 1, … , N, such that the closed-loop system composed of (16) and (20) is exponentially stable.…”

Section: Stability Analysismentioning

confidence: 99%

“…From Lyapunov theorem, it can be concluded that the origin of the closed-loop system composed of (16) and 20…”

Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A unified distributed robust control framework for power sharing of grid‐connected dispatchable distributed generator cluster

Su¹,

Tu²,

Cai

2020

Adv Control Appl

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Design of water‐energy management based on neural networks for an autonomous solar and wind renewable energy system coupled with brackish water desalination

Zgalmi

Cherif

2022

Env Prog and Sustain Energy

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In this article, smart water-energy management based on an artificial neural network for a photovoltaic-wind system coupled with water pumping and reverse osmosis desalination unit with hydraulic storage is developed. The proposed system was designed to meet freshwater demand for remote areas of Tunisia's south. The authors focus on an artificial neural network-type management strategy, ensuring power-sharing between sources, hydraulic components, and tank storage. The main objective of the management strategy is to deliver and purify as much freshwater as possible by taking advantage of all the energy available according to climatic conditions. A parametric sensitivity algorithm is developed to find the most appropriate neural network architecture. A dynamic simulator for 1 year of operation integrates the energy management of the system is developed. The used water-energy management-based artificial neural network showed good results of power-sharing during a fast time with a correlation coefficient and a coefficient of determination between the actual and estimated values of the three motor pumps electrical power equal to 96% and 98%, respectively. Also, the root mean squared error was acceptable at 0.1476. These results have been proved over a year and can be used by other researchers with a similar system.

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Level-one house agent-based decentralized resilient energy management

et al. 2021

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Coordinated Multilayer Control for Energy Management of Grid-Connected AC Microgrids

Cited by 38 publications

References 27 publications

A unified distributed robust control framework for power sharing of grid‐connected dispatchable distributed generator cluster

A unified distributed robust control framework for power sharing of grid‐connected dispatchable distributed generator cluster

Design of water‐energy management based on neural networks for an autonomous solar and wind renewable energy system coupled with brackish water desalination

Level-one house agent-based decentralized resilient energy management

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