Robust distributed optimization for energy dispatch of multi-stakeholder multiple microgrids under uncertainty

Wang, Luhao; Zhang, Bingying; Li, Qiqiang; Song, Wen; Li, Guanguan

doi:10.1016/j.apenergy.2019.113845

Cited by 87 publications

(38 citation statements)

References 48 publications

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“…Eq. (25) shows the energy storage capacity limit and (26) shows the hourly energy level of the batteries [18]. The time slot ∆t is assumed to be 1 since the analysis is performed for each hour of the time horizon.…”

Section: Fig 1 Illustration Of Three Methods Of Solving the Problemmentioning

confidence: 99%

“…In [14,15], two novel hybrid methods are introduced which combine the distributed and centralized approaches but, they still need a central coordinator. A new distributed approach, i.e., a double-phase strategy is developed in [26] that considers energy management framework within MGs with trading cost among neighbors to fulfill the security of each operator. Technically, distributed methods for optimal energy management can be divided into 3 classes including the weighted averaging distributed method, the alternating direction method of multipliers (ADMM) and the primal-dual lagrangian based approach [27,28].…”

Section: Distributedmentioning

confidence: 99%

“…In this section, the concept, definition and formulation of the proposed distributed model are explained in details. Technically, distributed methods are robust and have low time-consuming processes which necessitate less number of communication links compared to the centralized ones [26]. In this paper, PDMM approach as a new and well-approved distributed method is utilized to solve the energy management problem in the smart grids.…”

Section: Proposed Distributed Frameworkmentioning

confidence: 99%

“…Constraints (21)-(22) restrict the power value flowing in the network feeders. Equations (23)-(26) keep the technical constraints for the operation of the battery storage units. The charging/discharging power limits for the batteries are indicated by (as binary variables of the charging and discharging powers.…”

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confidence: 99%

See 3 more Smart Citations

A Distributed Stochastic Energy Management Framework Based-Fuzzy-PDMM for Smart Grids Considering Wind Park and Energy Storage Systems

Mohamed

Almalaq

Abdullah³

et al. 2021

IEEE Access

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His research interests include power system analysis, renewable energy integration, energy management, power electronics, electrical vehicles, optimization, smart islands, smart cities and smart grids. He has supervised multiple M.Sc. and Ph.D. theses, worked on a number of technical projects, and published various papers and books. He has also joined the editorial board of some scientific journals and the steering committees of many international conferences.

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Section: Fig 1 Illustration Of Three Methods Of Solving the Problemmentioning

confidence: 99%

Section: Distributedmentioning

confidence: 99%

Section: Proposed Distributed Frameworkmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A Distributed Stochastic Energy Management Framework Based-Fuzzy-PDMM for Smart Grids Considering Wind Park and Energy Storage Systems

Mohamed

Almalaq

Abdullah³

et al. 2021

IEEE Access

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“…Stochastic optimization method is used to find the optimum solution of microgrid operations in References [23,24]. Robust optimization [25] and robust distributed optimization [26] approaches are used by some scholars to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response

Zhao

et al. 2020

Energies

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More and more attention has been paid to the development of renewable energy in the world. Microgrids with flexible regulation abilities provide an effective way to solve the problem of renewable energy connected to power grids. In this article, an optimization strategy of a microgrid participating in day-ahead market operations considering demand responses is proposed, where the uncertainties of distributed renewable energy generation, electrical load, and day-ahead market prices are taken into account. The results show that, when the microgrid implements the demand response, the operation cost of the microgrid decreases by 4.17%. Meanwhile, the demand response program can transfer the peak load of the high-price period to the low-price period, which reduces the peak valley difference of the load and stabilizes the load curve. Finally, a sensitivity analysis of three factors is carried out, finding that, with the increase of the demand response adjustable ratio or the maximum capacity of the electrical storage devices, the operation cost of the microgrid decreases, while, with the increase of the demand response cost, the operation cost of the microgrid increases and, finally, tends to the cost without the demand response. The sensitivity analysis reveals that the demand response cost has a reasonable pricing range to maximize the value of the demand response.

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Stakeholder theory and actor‐network theory: The stakeholder engagement in energy transitions

2022

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The idea of sustainable development highlights the need to address economic, social, and environmental aspects to preserve the rights and needs of future generations. This paper proposes an association between stakeholder theory (ST) and Actor‐Network Theory (ANT) that can better explain the dynamics of actors in the energy sector, in the context of sociotechnical transitions to sustainability. By selectively examining the way in which different researchers perceive this subject, we intend to address how the engagement of the stakeholders can promote sociotechnical transitions in the energy sector trough the connection between ST and ANT. We aim to characterize the dynamics of stakeholder's engagement in sociotechnical transitions in the context of sustainability in the energy sector, trough the connection of the two theories. A narrative literature review was performed on scientific databases. The results showed that sociotechnical transitions in the energy sector require the involvement of multiple actors with different interests and that ST associated with ANT provides a good basis for research on this theme. The association of both theories highlights the importance of ST to enhance cooperation in the areas of clean energy research and technology, providing a theoretical tool for understanding the dynamics of transitions and its different pathways. For future studies, it is recommended to deepen the relationship between human and non‐human actors and their role as stakeholders.

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Robust distributed optimization for energy dispatch of multi-stakeholder multiple microgrids under uncertainty

Cited by 87 publications

References 48 publications

A Distributed Stochastic Energy Management Framework Based-Fuzzy-PDMM for Smart Grids Considering Wind Park and Energy Storage Systems

A Distributed Stochastic Energy Management Framework Based-Fuzzy-PDMM for Smart Grids Considering Wind Park and Energy Storage Systems

Stochastic Optimization of Microgrid Participating Day-Ahead Market Operation Strategy with Consideration of Energy Storage System and Demand Response

Stakeholder theory and actor‐network theory: The stakeholder engagement in energy transitions

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