Abstract
The need for distributed energy trading is increasing owing to the deployment of distributed renewable generators, and a new class of users, prosumers, based on them. This paper presents two pair-matching strategies for the distributed prosumer energy trading market. We first propose an energy trading rule guaranteeing a minimum trading quantity. The rule manages distributed market risk from unpredictability in the demand and supply of participants. A pair matching problem to maximize social welfare is formulated. However, it requires high computational complexity, as well as a central controller. Therefore, we propose two matching strategies considering the properties of the trading rule and the statistical characteristics of participants by modifying the problem. The proposed strategies can be applied in a distributed manner with a simple mechanism. Numerical results using the ideal and real data sets show that the proposed strategies have near optimal performance, with less than a 2% optimal gap. In addition, we discuss how distributed prosumer energy trading offers a benefit and discuss the dominant parameter for achieving that benefit.
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