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Musgrave, Andrew

University of British Columbia

Widespread deployment of distributed energy resources (DERs) in power distribution systems motivates the development of peer-to-peer (P2P) electricity markets that facilitate bilateral transactions between pairs of market agents while ensuring that the resulting transactions are consistent with the operational constraints of the underlying power distribution system. This thesis contributes to the development of P2P electricity markets by highlighting the potential for arbitrage to nullify market agent preferences in previous market formulations, and proposing a market formulation that enables individual preferences to have their intended impact by preventing arbitrage. In cases where preferences are imposed against a generator due to its associated carbon emissions, the presence of arbitrage may allow that generator to be dispatched at the same level as if the preferences were not imposed, thereby negating the impact of the stated preferences on resulting emissions. A fully distributed solution approach allows the optimal P2P transactions and DER dispatch to be obtained without centralized computation, thus enabling privacy of market agent data. We then extend the proposed market formulation to establish a measurement-based P2P electricity market, where the resulting transactions and optimal dispatch satisfy power flow constraints without relying on an offline model of the power distribution system. Instead, we constrain nodal voltages via a linear sensitivity model mapping bus voltages to injections estimated from online measurements collected from P2P market participants. The optimal solution of the market problem comprises the P2P transactions (specifying partners, quantity, and price for each trade), the optimal dispatch, and predicted nodal voltages at buses where measurements are collected.

Text

2024-04-16

Attribution-ShareAlike 4.0 International

http://hdl.handle.net/2429/87843

Electrical and Computer Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-sa/4.0/