2019 journal article
A Distributed and Resilient Bargaining Game for Weather-Predictive Microgrid Energy Cooperation
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 15(8), 4721–4730.
author keywords: Bargaining game; distributed energy management; malicious users; microgrid security; residential cooperation; stochastic renewable generation (RG)
TL;DR:
It is shown that the proposed game is resilient to malicious users’ attempts to avoid payment of their fair share of the overall bill.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 26, 2019
A bargaining game is investigated for cooperative energy management in microgrids. This game incorporates a fully distributed and realistic cooperative power scheduling algorithm [cooperative and distributed energy scheduling (CoDES)] as well as a distributed Nash bargaining solution based method of allocating the overall power bill resulting from CoDES. A novel weather-based stochastic renewable generation (RG) prediction method is incorporated in the power scheduling. We demonstrate the proposed game using a four-user grid-connected microgrid model with diverse user demands, storage, and RG profiles and examine the effect of weather prediction on day-ahead power scheduling and cost/profit allocation. Finally, the impact of users’ ambivalence about cooperation and /or dishonesty on the bargaining outcome is investigated, and it is shown that the proposed game is resilient to malicious users’ attempts to avoid payment of their fair share of the overall bill.