A Novel Multi-Layer Framework for Dynamic Operation of Prosumers in Peer-to-Peer (P2P) Energy Markets
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Date
2020-12-15
Authors
Azam, Muhammad Umar
Advisor
Bhattacharya, Kankar
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
Research in transactive energy systems, in recent years, has been primarily focused on
the financial aspects of peer-to-peer (P2P) energy trade with little attention paid to the
operational and practical aspects of how this energy trade should occur in a system. Practical prosumer behavior in such systems should be subject to their own internal status and
the external conditions of the electrical network. Moreover, for such practical realization of
a prosumer to be feasible, they should be primed to operate through system disturbances
and parameter uncertainties.
In this thesis, a novel mathematical model is presented to enable prosumers to partake
in P2P energy trades with full operational freedom over their own consumption, energy
storage system (ESS) operation and their distributed power generation capability. The
proposed model integrates a physical system (physical layer) with prosumer operations
(virtual layer) to evolve a multi-layer framework which allows physical network constraints
to be implemented with relative ease. The formulation is implemented on a 33-Bus test
system considering various system objectives and the results demonstrably prove the significance and applicability of the proposed framework in P2P energy markets.
The multi-layer framework is then further extended to enable the prosumer to respond
to uncertainties in the local grid or its distributed energy resources, through an MPC based
approach. The considered uncertainties are further split into categories termed as ’known
uncertainty’ and ’unknown uncertainty’; with the former referring to forecasting errors and
the latter referring to unexpected system disturbances. Several cases are developed considering combinations of system parameters to be uncertain and by introducing disturbances
to observe prosumer responses. The simulation results prominently show the prosumers
responding to unexpected disturbances by adjusting their behavior and P2P energy trade
while maintaining their optimal objectives. Such results demonstrate the viability of this
MPC approach for the realization of a practical prosumer.
Description
Keywords
MPC, model predictive control, P2P, energy storage system, prosumers, smart grid, transactive energy