Algorithms for Smart Microgrid Management using Multi Agent Approach
Loading...
Date
item.page.authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The concept of Smart Grid (SG) is evolving as a future power grid, with enough scope for
newlineimplementation of Smart Distribution System, from trading and managing perspective. In
newlinethis context, integration of stakeholders in distribution system along with intelligent
newlinecontrol techniques to address the trading and managing issues have assumed importance.
newlineThe deployment of Distributed Energy Resources (DERs) specifically renewable energy
newlineresource (RERs) and deregulation of electricity acts promotes private sectors to
newlineparticipate in electricity market as stakeholders (potential sellers and buyers) for
newlineeconomic benefits in Distribution Networks (DNs). The integration of these participants
newlinetogether with load growth, usage of smart appliances and increased consumer
newlineexpectations have changed the approach to planning, design, operation and control of
newlinedistribution systems. These approaches involve many challenges in distribution
newlineautomation, such as, bidding strategies of stakeholders, energy trading, optimal
newlinescheduling and monitoring along with the necessary protection systems. The integration
newlineof non-dispatchable stakeholders (DG units and consumers/variable loads) in DNs
newlineincreases trading and managing issues. Specifically, utility faces scalability problem
newlinewhile dealing with large number of small DGs and consumers in the electricity market.
newlineTo address these issues Microgrid (MG) concept is introduced to work as an
newlineauctioneer/aggregator to mitigate scalability problem, where the utility need not directly
newlineinteract with stakeholders. The MG is a subsystem (sub grid) of the SG, which can
newlineoperate either in grid-tied or islanded mode.
newlineIn the MG environment, the Demand Side Management (DSM) techniques, particularly
newlineemploying Demand Response (DR), can effectively ease the security constraints in a
newlinemore economical way. For this, DNs will have to accommodate bi-directional power
newlineflows employing suitable trading mechanism. Incorporation of these facilities into the
newlinenetwork will make the DNs more complex, with chan