Real-time energy exchange strategy of optimally cooperative microgrids for scale-flexible distribution system

Chakraborty, Shantanu; Nakamura, Shin; Okabe, T.

doi:10.1016/j.eswa.2015.01.017

Cited by 49 publications

(31 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We can align the proposed distributed energy matching framework with aforementioned (and similar types) researches. Moreover, the proposed framework takes the advantages of Microgrid coalition formation technique [5] to periodically modify the communicative network. The practical feasibility of the proposed framework can be obtained by the advent research in Digital-Grid architecture [6].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Distributed energy matching and exchange scheme for demand-side optimal operation

Chakraborty

Okabe

2015

2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)

Self Cite

View full text Add to dashboard Cite

This paper introduces a demand-side distributed energy matching framework and operations for an Energy Service Provider (ESP). Due to the diversity, geographical location and high number of customers, managing energy transactions and resulting energy exchanges are challenging for an ESP. The envisioned ESP maintains several aggregators (e.g. Microgrids), named as Sub Service Provider (SSP) that manage customers/subscribers under their domains. The service requires customers to provide pre-committed energy profiles along with preferences over certain attributes on a day-ahead basis. The SSPs (that work under the ESP) act as agents that perform local energy matching within their own domain of customers and distributed energy matching with the colleague SSPs. The goal of the distributed energy matching is to reduce the involvement of utility (in both the day-ahead market and spot-market). In order to perform the distributed matching operation, an assignment problem is designed and solved by Linear Programming. The communicative burden among SSPs due to the exchange of energy information (i.e. to converge in the distributed matching process) is reduced by applying an adaptive microgrid (SSP) coalition formation method.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The process is shown in Figure 3 with an example. The process takes the advantage of Microgrid Coalition Formation method [5] with historical coalition formation information and periodically updates the neighborhood map of each SSP. In step 1 (S1), the ESP receives the historical energy status for each SSP.…”

Section: B Learning Based Network Mappingmentioning

confidence: 99%

Distributed energy matching and exchange scheme for demand-side optimal operation

Chakraborty

Okabe

2015

2015 IEEE International Conference on Smart Grid Communications (SmartGridComm)

Self Cite

View full text Add to dashboard Cite

show abstract

“…[14] proposed dynamic coalition formation for this problem. [4] finds optimal coalition structure based on certain optimization criteria of the coalitions. [21] developed dynamic coalition formation algorithm that minimizes discomfort in MGs.…”

Section: Related Literaturementioning

confidence: 99%

“…Hence the trust among MGs must be evaluated as a malicious MG can alter the result of coalition structure generation problem for its own benefit. Existing solutions [2][3][4]14] for MG energy trade ignore such trust evaluation. -Scalability: Most of the existing coalition formation [2][3][4]14] algorithms for energy trade among MG process are not scalable.…”

Section: Introductionmentioning

confidence: 99%

“…Existing solutions [2][3][4]14] for MG energy trade ignore such trust evaluation. -Scalability: Most of the existing coalition formation [2][3][4]14] algorithms for energy trade among MG process are not scalable. This is because these approaches are centralized, i.e., there is a centralized computing entity who gathers information from MGs and yields coalition structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Peer to Peer Energy Trade Among Microgrids Using Blockchain Based Distributed Coalition Formation Method

Thakur

Breslin

2018

Technol Econ Smart Grids Sustain Energy

View full text Add to dashboard Cite

Unpredictable environmental conditions make renewable energy generators of a microgrid unreliable. Energy trade among microgrids may reduce dependency on utility grid (which uses traditional energy generator that causes massive greenhouse gas emission). Coalition formation algorithms are popular tools to execute energy trade among microgrids. In this paper we develop coalition formation method using the blockchain mechanism. Advantages of our solution over existing coalition formation algorithms for microgrid energy trade are as follows:-Distributed execution: We show how to find coalition structure in a distributed fashion. It improves robustness of the computation compared with centralized executions of coalition formation algorithms. This is because failure of a centralized computing entity will lead to the failure of energy trade among all MGs but in a distributed solution such problem can be avoided. -Asynchronous execution: In our solution, multiple coalition formation algorithms are executed asynchronously. Most of the existing solutions execute coalition formation algorithms at regular time intervals in synchronous fashion. Our solution reduces the waiting time for a microgrid to trade energy with other microgrids. Energy requirement of microgrids may depend on weather and changes in their energy requirement may be not synchronous, i.e., energy requirement of all microgrids may not change at the same time and after regular intervals. -Scalable: We show that the distributed execution of coalition formation algorithm is more scalable than centralized algorithms for coalition formation. -Convergence: We show that the proposed distributed algorithm converges quickly. -Local energy trade: We show that the proposed distribution algorithm promotes local energy trade to reduce energy loss due to long transmission. It should be noted that feasibility of local energy trade depends on satisfaction of constraints in distribution network. Our solution aim to reduce the distance between matched energy supplier and energy provider if the distribution network allows such an energy transfer. -Trust: The trust between a microgrid and the computation entity who is responsible for generating coalition structure is ignored in the existing solutions. We use a blockchain to eliminate such trust establishment requirement. -Security and Privacy: The existing literature ignores the security of the computation framework. A MG's energy surplus / deficit reveals its energy consumption patterns and it may cause security problems. We mitigate such security problems using the blockchain mechanism.

show abstract

Distributed generation for economic benefit maximization through coalition formation-based game theory concept

Marzband

Ardeshiri

Moafi

et al. 2017

Int. Trans. Electr. Energ. Syst.

View full text Add to dashboard Cite

Summary For enhancing the awareness and competitiveness of distributed energy resources (DER) in energy markets, an optimal and implementation and operation of these resources. To address this issue, in this paper, objective, DERs that can collaborate with other DER installed as closer or far topologies, forming coalitions for gaining competitiveness between each other in the energy market, have been selected for study. The profit allocation due to coalition between DERs is being identified as an important issue for ensuring renewable sources installation in smart grids. A methodology with, bi‐level, structures is proposed to maximize the profit in a competitive market and allocate profit resulting from a coalition formation between multiple energy districts encompassing DERs. In the primary level analysis, a mechanism based on noncooperative game theory is presented with the aim of creating a competitive market, as well as, to study the supply energy strategies based on pricing mechanisms of multiple energy suppliers. In the second level, various distribution methods, namely, Shapley, Nucleolus, and Merge and Split, are compared with each other for profit allocation analysis. Our study highlights that the disconnection of DERs resulting from pricing decisions allows them to collaborate together with aggregated facilities to achieve higher profits due to excess production and avoid penalties due to shortages in production, which in essence, demonstrates a significant operational increase in their profits, a concept that favors the likelihood for all energy suppliers and producers to form a coalition for economic optimizations.

show abstract

Real-time energy exchange strategy of optimally cooperative microgrids for scale-flexible distribution system

Cited by 49 publications

References 12 publications

Distributed energy matching and exchange scheme for demand-side optimal operation

Distributed energy matching and exchange scheme for demand-side optimal operation

Peer to Peer Energy Trade Among Microgrids Using Blockchain Based Distributed Coalition Formation Method

Distributed generation for economic benefit maximization through coalition formation-based game theory concept

Contact Info

Product

Resources

About