A Cooperative Game Approach for Energy Management of Interconnected Microgrids

Movahednia, Mohadese; Karimi, Hamid Reza; Jadid, Shahram

doi:10.48550/arxiv.2201.03179

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• day-ahead based approaches: [1]- [3], [7], [8], [10]- [25], [46]- [48], [50], [52], [55]; • deterministic approaches: [7]- [9], [13], [15], [17], [18], [20], [21], [26]- [35], [42], [44]- [46], [49]- [57]; • uncertainties management/stochastic approaches: [1],…”

Section: Related Workmentioning

confidence: 99%

“…[3], [10]- [19], [21], [23], [26]- [29], [34], [36]- [41], [44], [47]- [50], [52], [53], [55], [56]; • EV and V2G based approaches: [2], [7]- [9], [14], [15], [19], [23], [24], [31], [32], [35], [36], [49], [51]; • RES and/or ESS based approaches: [1]- [3], [7]- [42],…”

Section: Related Workmentioning

confidence: 99%

“…[44]- [57]; • Multi-Microgrid based approaches: [2], [7], [11]- [13], [17], [24]- [28], [32]- [35], [37], [38], [41], [42], [45], [46], [48], [52], [54]- [57]; • reviews: [4], [5]. There are contributions where the MM management problem is addressed on the basis of on the Day-Ahead Energy (DAEM) Market concept [18].…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Smart District Energy Management With Cooperative Microgrids

2022

View full text Add to dashboard Cite

This paper faces the energy management problem of cooperative microgrids in a smart energy district. In particular, the aim of the research work is to propose an innovative optimization model to solve the problem of energy management in a district composed of several microgrids, taking into account uncertainties of key parameters. In this context, the objective of the paper is threefold: i) maximize the use of energy purchased at the day-ahead market; ii) minimize the need of additional and expensive energy in realtime iii) optimize the integration of renewable energy sources (RES), energy storage systems (ESS) and electric vehicle (EV) batteries in the microgrid. To these goals, the District Energy Management System (DEMS), i.e. the central controller of the district, must balance the microgrids energy demand with the optimal integration of RES, ESS and the batteries of EVs that are seen as movable storage devices shared among buildings. Moreover, the energy surplus can be sold back to the main power grid. The DEMS problem is solved by two approaches. In the first approach, the energy demand, the RES production and the costs are known and a linear programming problem is formalized and solved by the DEMS. In addition, a second approach is proposed in order to address the parameters uncertainty and is formalized as a stochastic linear programming problem. The optimization problems solutions provide the optimal strategy to schedule the charging and discharging operations of the storage systems and the electric vehicle batteries. A simulation case study demonstrates the benefits of the proposed approaches for the smart district.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Smart District Energy Management With Cooperative Microgrids

2022

View full text Add to dashboard Cite

show abstract

“…The O&M problem becomes more complex due to the divergent objectives of MGs and DN operators as well as the growing integration of RESs caused by the addition of more MGs to the system structure. 2 The wind turbine units (WTs) and photovoltaic units (PVs) generate electricity based on weather conditions. As a result, the presence of renewable energy sources in MGs poses issues such as a lack of continuity and stability in these units' generation capability.…”

Section: Introductionmentioning

confidence: 99%

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Rahnama

Dejamkhooy

Shayeghi

2023

Engineering Reports

View full text Add to dashboard Cite

This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization problem has a hierarchical structure, with distribution companies (Discos) at the top attempting to maximize profits and microgrids at the bottom attempting to reduce costs. This study examines the relationship between the unpredictability of renewable energy sources and power demand. In this mechanism, the influence of the demand response program (DRP) is also considered an important aspect of intelligent systems. The two‐level nonlinear optimization problem has been transformed to a one‐level linear problem using dual theory and KKT conditions. According to the findings of the studies, even though cost reduction is the sole objective of scheduling in centralized mode, applying DRP to the system results in a 16% reduction in overall costs for the two‐level scheduling method, and a 22% reduction in daily costs when compared to two‐level scheduling without DRP.

show abstract

A Cooperative Game Approach for Energy Management of Interconnected Microgrids

Cited by 2 publications

References 0 publications

Smart District Energy Management With Cooperative Microgrids

Smart District Energy Management With Cooperative Microgrids

Two‐level scheduling of an active power distribution network by considering demand response program and uncertainties

Contact Info

Product

Resources

About