Virtual Organization Structure for Agent-Based Local Electricity Trading

Abstract

End-users are more active because of demand response programs and the penetration of distributed energy resources in the bottom-layer of the power systems. This paper presents a virtual organization of agents of the power distribution grid for local energy trade. An iterative algorithm is proposed; it enables interaction between end-users and the Distribution Company (DisCo). Then, the performance of the proposed algorithm is evaluated in a 33-bus distribution network; its effectiveness is measured in terms of its impact on the energy trading scenarios and, thus, of its contribution to the energy management problem. According to the simulation results, although aggregators do not play the role of decision makers in the proposed model, our iterative algorithm is profitable for them.

Local flexibility markets: Literature review on concepts, models and clearing methods

“…A cooperative control framework for the coordinated operations of multiple microgrids was proposed in [141] using multiagent-based modelling method, which was then extended by [142] to a two-layer structure to facilitate the P2P electricity sharing amongst prosumers using blockchain technologies. A multiagentbased LEM model was proposed in [143], in which a DSO, multiple aggregators and prosumers can trade energy efficiently. The classification of different models is shown in Table 7.…”

Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review

“…A bottom-up decentralized approach has been used for trading energy among customers and aggregators in [83][84][85]. In [86,87], an iterative algorithm has been introduced to transact energy flexibility locally from customers to aggregators to DSO. Moreover, authors in [88] presented game-based and monopolistic-based approaches to transactions for the energy flexibility service between customers and aggregators in the distribution network.…”

Distributed Energy Resources Management 2018

“…This paper provides a summary of the Special Issue of Energies covering the published articles [1][2][3][4][5][6][7][8][9][10][11][12][13], which address several topics related to distributed energy resources management. Table 1 identifies the most relevant topics in each publication of the 2018 Edition.…”

“…In [12], Gazafroudi et al proposed an agent-based approach for energy trading at the local level. The proposed iterative approach allowed for interaction between end-users and the distribution network operator.…”

“…The Special Issue "Distributed Energy Resources Management 2018" includes 13 papers [1][2][3][4][5][6][7][8][9][10][11][12][13], and is a continuation of the Special Issue "Distributed Energy Resources Management" published in https://www.mdpi.com/journal/energies/special_issues/distributed_energy_resources_ management2018. The success of the previous Special Issue, for which the summary is published in [14], shows the unquestionable relevance of distributed energy resources in the operation of power and energy systems at both the distribution level, and at the wide power system level.…”