Multi-Agent System for Distributed Management of Microgrids

Foo, Eddy Y. S.; Gooi, Hoay Beng; Chen, Shuai Xun

doi:10.1109/tpwrs.2014.2322622

Cited by 186 publications

(32 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Main goals social fairness, market control decentralization, market efficiency Main references [17,18,[22][23][24][25][26][27][28][29][30][31][32][33] [3,4,19-21, [34][35][36][37][38][39][40][41][42] With regards to energy prices in the SG, the consumers can purchase energy either from the power grid or from other prosumers. In the first case, a key aspect is that the utility company, which is the company responsible for managing all power grid assets and its operation, usually sells the energy for a unitary price P u to its consumers and purchases the energy from the prosumers by a smaller price, P l [15,16,43].…”

Section: Criterion Cooperative Games Competitive Gamesmentioning

confidence: 99%

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Milanezi

Costa

Garcez

et al. 2020

Sensors

View full text Add to dashboard Cite

Due to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature addresses the privacy issue by providing ways of hiding user's electricity consumption. However, open issues in the literature related to the privacy of the electricity producers still remain. In this paper, we propose a framework that preserves the secrecy of prosumers' identities and provides protection against the traffic analysis attack in a competitive market for energy trade in a Neighborhood Area Network (NAN). In addition, the amount of bidders and of successful bids are hidden from malicious attackers by our framework. Due to the need for small data throughput for the bidders, the communication links of our framework are based on a proprietary communication system. Still, in terms of data security, we adopt the Advanced Encryption Standard (AES) 128 bit with Exclusive-OR (XOR) keys due to their reduced computational complexity, allowing fast processing. Our framework outperforms the state-of-the-art solutions in terms of privacy protection and trading flexibility in a prosumer-to-prosumer design.2 of 25 consists of obfuscating the instantaneous consumption pattern of each consumer [5,6]. This is generally accomplished by hiding the instantaneous power consumption of the client as fine-grained data can reveal in detail the lifestyle of the consumer [7,8]. However, the profile of traded energy also delivers relevant information about prosumers to their neighbors. As in [9], the ability to link the bids to individual consumers allows the untrusted entity to build up a profile of the consumer's behavior. In particular, the quantities of traded energy can be very informative about the economical welfare of the owner [10]. Privacy requirements dictate that prosumers cannot gain information regarding other prosumers' consumption and production-not even if they are trade partners [11]. Models dealing with energy trade directly among prosumers [3,12] limit themselves to exploiting the trade environment without discussing in detail data-security aspects related to the identities of the traders in relation to their neighbors. As a consequence, several topics related to privacy requirements are still open in SGs, such as power production and bidding in trading systems.In this paper, we consider the problem of providing data privacy for self-interested players that trade energy in the context of a Neighborhood Area Network (NAN). The energy is sold by local micro-generators and locally purchased by their neighbors, also known as the final users. Our framework deals simultaneously with SG data-security requirements and energy-trade systems. As a first contribution, the proposed framework has a privacy-preserving model which has a low computational complexity and avoids completely an unauthorized party to identify the bidders, ...

show abstract

Section: Criterion Cooperative Games Competitive Gamesmentioning

confidence: 99%

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Milanezi

Costa

Garcez

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…A second report, by McArthur et al [55] emphasized techniques and tools that could favor and support engineers to use MAS. The authors indicate the Java Agent Development Framework (JADE) [56], which is a FIPA (The Foundation for Intelligent Physical Agents) standard-based MAS framework supporting multi-agent development with facilities of agent management, as an important agent platform implementation (which has being used in different SG applications [57][58][59][60][61]). However, some limitations for widespread adoption of MAS technology over SG systems were also highlighted by McArthur et al [17], such as: Portability; Real implementation and security; Scalability in large scale real problems.…”

Section: Mas and Smart Grids Overviewmentioning

confidence: 99%

“…When working in grid connected, the microgrid is aid by the grid supplier, excess of deficit of power is absorbed by it. On the other hand, maintaining system frequency and stability is requested in applications running in islanded mode [57].…”

Section: Mg Security Stability and Protectionmentioning

confidence: 99%

“…Before Eddy et al [57], any MAS platform had been implemented via integration of microgrid market operations and DERs. Thus, Eddy et al [57] simulated, with the assistance of the JADE plataform, market operations with distributed generators (DGs) and price-sensitive loads (such as air conditioning loads [110]) participating in a microgrid energy market.…”

Section: Microgrid Market Operationsmentioning

confidence: 99%

“…Thus, Eddy et al [57] simulated, with the assistance of the JADE plataform, market operations with distributed generators (DGs) and price-sensitive loads (such as air conditioning loads [110]) participating in a microgrid energy market. The MAS comprised several intelligent agents with access to its localized knowledge base.…”

Section: Microgrid Market Operationsmentioning

confidence: 99%

See 2 more Smart Citations

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

et al. 2017

View full text Add to dashboard Cite

A distribution‐market based game‐theoretical model for the coordinated operation of multiple microgrids in active distribution networks

Zhao

Ban

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

With an increasing number of microgrids being integrated into active distribution networks (ADN), it becomes a challenge how to efficiently coordinate the operations of multiple microgrids (MGs) which are individual entities seeking for their self‐interests. In this paper, a bi‐level noncooperative game‐theoretical model is proposed for MGs operation in ADN based on the distribution system operator (DSO) market and distribution locational marginal prices (DLMPs). The upper level is modeled as a game among MGs who develop their optimal strategies to bid into the DSO market aiming at maximizing their own payoffs. In the lower‐level, the DSO of the ADN implements the market‐clearing and calculates the DLMPs. An iterative solving algorithm is proposed to find the Nash equilibrium of the game model. The case studies show that through the proposed model, the coordinated operation of MGs is achieved while satisfying the security constraints of the ADN.

show abstract

Multi-Agent System for Distributed Management of Microgrids

Cited by 186 publications

References 32 publications

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids

A distribution‐market based game‐theoretical model for the coordinated operation of multiple microgrids in active distribution networks

Contact Info

Product

Resources

About