A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets

Mansouri, Seyed Amir; Paredes, Ángel; González, José Manuel; Aguado, José A.

doi:10.1016/j.apenergy.2023.121440

Cited by 68 publications

(4 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimal building DR strategies with different electric appliances and EVs have been extensively studied and reported in [22][23][24][25]. The DR strategies have been proposed in [22] to adjust temperature setpoints of HVAC systems for the peak load reduction of urban distribution networks.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Two aggregate community-level DR strategies were developed in [23] to utilize the potential flexibility of the battery-switching EVs for peak shaving. In [24], a three-layer game theoretic-based strategy was proposed for coordinating smart buildings, EV fleets, and microgrids. In addition, different climate zones and building types can affect the building's physical and office workers' behavior in buildings.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Distributionally Robust Demand Response for Heterogeneous Buildings with Rooftop Renewables under Cold Climates

Shi,

Wang,

et al. 2024

Buildings

View full text Add to dashboard Cite

A considerable penetration of rooftop PV generation and increasing demand for heating loads will enlarge the peak-to-valley difference, imposing a great challenge to the reliable operation of distribution systems under cold climates. The objective of this paper is to establish a distributionally robust demand response (DR) model for building energy systems for suppressing peak-to-valley load ratios by exploiting cooperative complementarity and flexible transformation characteris-tics of various household appliances. The thermodynamic effect of buildings is modeled for harvesting intermittent renewable energy sources (RESs) on the building roof in the form of thermal energy storages to reduce RES curtailments and eliminate thermal comfort violations in cold weather. Furthermore, the Wasserstein metric is adopted to develop the ambiguity set of the uncertainty probability distributions (PDs) of RESs, and thus, only historical data of RES output is needed rather than prior knowledge about the actual PDs. Finally, a computationally tractable mixed-integer linear programming reformulation is derived for the original distributionally robust optimization (DRO) model. The proposed DRO-based DR strategy was performed on multiple buildings over a 24 h scheduling horizon, and comparative studies have validated the effectiveness of the proposed strategy for building energy systems in reducing the peak/valley ratio and decreasing operation costs.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Distributionally Robust Demand Response for Heterogeneous Buildings with Rooftop Renewables under Cold Climates

Shi,

Wang,

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Recent studies have foremost been directed at operational dispatch decisions, without considering investment options: For instance, Yi et al [12] and Tang et al [13] propose scheduling strategies for VPPs including flexible consumption units or energy storage systems for participating in wholesale and reserve markets. Other studies investigate the coordination of distributed resources through dynamic aggregation [14], or the collaborative management of multiple VPPs [15] or microgrids [16]. Naughton et al [17] as well as Appino et al [18] focused on the provision of multiple market and grid services from electricity-hydrogen VPPs, while the uncertainty of market prices, local demand and renewable output has been incorporated in [19].…”

Section: Related Literaturementioning

confidence: 99%

Optimal Expansion of a Multi-Domain Virtual Power Plant for Green Hydrogen Production to Decarbonise Seaborne Passenger Transportation

Zepter

Engelhardt

Marinelli

2023

Preprint

View full text Add to dashboard Cite

“…This represents an important but not deeply investigated partitioning criterion (e.g., see [14,15]), which motivated the present work, in which a novel heuristic procedure is also presented for the selection of the boundary pipes to close or to alternatively fit with a flow meter in the dividing phase. To mitigate the problems of excessive consumption of electric power, which are nowadays very much targeted at pumping stations [16,17] and other contexts [18,19], the work also proposes installation of variable speed drives [20] at system pumps and pump hourly setting optimization based on a bespoke algorithm for closed WDNs, with no intermediate tanks between sources and end users.…”

Section: Introductionmentioning

confidence: 99%

Service Pressure and Energy Consumption Mitigation-Oriented Partitioning of Closed Water Distribution Networks

Creaco,

Giudicianni,

Tosco

2023

Water

View full text Add to dashboard Cite

This paper presents the partitioning of the closed water distribution network (WDN) serving the city of Pavia, Italy. As a thus far poorly explored aspect in the scientific literature, clustering for the definition of size and extension of district metered areas (DMAs) and of inter-DMA boundary pipes is performed by ensuring that the DMAs respect the altimetric areas of the WDN by leaning on a modified formulation of modularity. To define the boundary pipes to be closed or alternatively fitted with a flow meter for the monitoring of DMA consumption, the dividing is performed with an innovative heuristic algorithm. This technique operates by sequentially implementing the boundary closures that do not cause significant head losses, to obtain an approximation of the Pareto front in the trade-off between number of flow meters installed and WDN reliability. In the last part of the work, the pumps present in the network are assumed to be equipped with the variable speed drive, and their hourly settings are optimized to regulate service pressure. Overall, WDN partitioning and pump setting optimization are proven to mitigate the service pressure and energy consumption of the WDN, offering evident and attractive benefits up to about 50% for water utilities.

show abstract

A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets

Cited by 68 publications

References 50 publications

Distributionally Robust Demand Response for Heterogeneous Buildings with Rooftop Renewables under Cold Climates

Distributionally Robust Demand Response for Heterogeneous Buildings with Rooftop Renewables under Cold Climates

Optimal Expansion of a Multi-Domain Virtual Power Plant for Green Hydrogen Production to Decarbonise Seaborne Passenger Transportation

Service Pressure and Energy Consumption Mitigation-Oriented Partitioning of Closed Water Distribution Networks

Contact Info

Product

Resources

About