Multi-agent Autonomous Decision Making in Smart Micro-Grids’ Energy Management: A Decentralized Approach

Sajad Ghorbani , Rasoul Rahmani , Rainer Unland

Abstract

Current energy grids are moving toward utilization of renewable and non-polluting energy sources. Micro-grids, as an emerging means for a localized management, supervision, and control of energy production and consumption are changing the traditional centralized grid topology, making it more distributed and autonomous. However, the fluctuating nature of renewable energy systems make the energy demand control very complex. Hence, one of the challenges in Micro-grid energy control and management is to handle any deviation from the prior forecasted power generation/consumption by optimizing the usage of storage and backup generation units in a way that preserves the users’ convenience level. The majority of the proposed optimization approaches only use the centralized load shedding schemes, neglecting the effect of inconvenience it may cause to the users. In this paper, we propose a Multi-agent based decentralized algorithm for a residential grid-connected Microgrid. The focus of our work is on how to handle possible power imbalance situations with the help of an Autonomous Decentralized Multi-agent approach consisting of user agents, storage agent, and grid agent considering the users’ consumption preferences as an important factor in the decision making. We investigate the application of our proposed algorithm over a PV-based Microgrid scenario.
Autor Sajad Ghorbani
Sajad Ghorbani
-
, Rasoul Rahmani
Rasoul Rahmani
-
, Rainer Unland (WIiGE / KIE)
Rainer Unland
- Katedra Informatyki Ekonomicznej
Paginacja223-237
Objętość publikacji w arkuszach wydawniczych0.7
Książka Berndt Jan Ole, Petta Paolo, Unland Rainer (red.): Multiagent System Technologies, Lecture Notes in Computer Science, vol. 10413, 2017, Springer, ISBN 978-3-319-64797-5, [978-3-319-64798-2], 291 s., DOI:10.1007/978-3-319-64798-2
Słowa kluczowe w języku angielskimMulti-agent systems, Microgrid, Autonomous decision making Decentralized, Energy management
DOIDOI:10.1007/978-3-319-64798-2_14
URL https://link.springer.com/chapter/10.1007/978-3-319-64798-2_14
Języken angielski
Punktacja (całkowita)20
Żródło punktacjipublisherList
PunktacjaPunktacja MNiSW = 20.0, 02-05-2020, ChapterFromConference
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