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Indirect Mechanism Design for Efficient and Stable Renewable Energy Aggregation

Mechanism design is studied for aggregating renewable power producers (RPPs) in a two-settlement power market. Employing an indirect mechanism design framework, a payoff allocation mechanism (PAM) is derived from the competitive equilibrium (CE) of a specially formulated market with transferrable payoff. Given the designed mechanism, the strategic behaviors of the participating RPPs entail a non-cooperative game: It is proven that a unique pure Nash equilibrium (NE) exists among the RPPs, for which a closed-form expression is found. Moreover, it is proven that the designed mechanism achieves a number of key desirable properties at the NE: these include efficiency (i.e., an ideal "Price of Anarchy" of one), stability (i.e., "in the core" from a coalitional game theoretic perspective), and no collusion. In addition, it is shown that a set of desirable "ex-post" properties are also achieved by the designed mechanism. Extensive simulations are conducted and corroborate the theoretical results.
- Stony Brook University United States
- Stony Brook University United States
FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science - Multiagent Systems, Computer Science and Game Theory (cs.GT), Multiagent Systems (cs.MA)
FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Computer Science - Multiagent Systems, Computer Science and Game Theory (cs.GT), Multiagent Systems (cs.MA)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).14 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
