A Game Theoretic Approach for Multiple Microgrid Clusters under Stochastic Energy Demand and Behaviors

Yao, Ruotian; Zhou, Hong; Yu, Chang; Lei, Zhongcheng

doi:10.1109/iecon43393.2020.9255129

Cited by 1 publication

(1 citation statement)

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“…Currently, the energy market has various time-differentiated retail pricing schemes, e.g., time-of-use (TOU), real-time pricing (RTP), critical-peak pricing (CPP) or curtailable/interruptible pricing tariffs, which reflect fluctuating wholesale prices and explore end-user demand flexibility [26][27][28]. Various approaches are used to determine the dynamic import and export prices, ranging from game theory to blockchain applications [29][30][31][32]. The proposed framework aims at providing support with the design and operation of residential DER networks, and the design of pricing strategies is out of the scope of this approach.…”

Section: Variable Import and Export Pricingmentioning

confidence: 99%

Effects of Dynamic Pricing on the Design and Operation of Distributed Energy Resource Networks

et al. 2021

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This paper presents a framework for the use of variable pricing to control electricity imported/exported to/from both fixed and unfixed residential distributed energy resource (DER) network designs. The framework shows that networks utilizing much of their own energy, and importing little from the national grid, are barely affected by dynamic import pricing, but are encouraged to sell more by dynamic export pricing. An increase in CO2 emissions per kWh of energy produced is observed for dynamic import and export, against a baseline configuration utilizing constant pricing. This is due to feed-in tariffs (FITs) that encourage CHP generation over lower-carbon technologies. Furthermore, batteries are shown to be expensive in systems receiving income from FITs and grid exports, but for the cases when they sell to/buy from the grid using dynamic pricing, their use in the networks becomes more economical.

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