Prosumer energy-storage trading feasibility evaluation and price bundling

Xianshan Li, Mingfang Lu, Fei Li, Wei Xiong and Zhenxing Li

Energy, 2022, vol. 239, issue PB

Abstract: Prosumer energy-storage trading (PEST) is conducive to the improvement of the power system's new energy consumption and reduction of the energy storage investment. To provide a basis for prosumers' decision making about PEST participation, we propose a PEST feasibility evaluation and price-bundling strategy. A fuzzy logic–based model for the evaluation of the degree of PEST participation was developed, considering the influence of random and fuzzy subjective and objective factors. With application of a photovoltaic-battery cost-bundling model and a battery-load utility-bundling model to cope with the difficulty of PEST pricing due to the differences in energy utility and cost between energy storage and other sources and loads. The proportion of the PEST volume in the prosumers' trading energy is determined by the degree of PEST participation. An optimization model is established to maximize the prosumer and system benefits, and the iterative double-auction method is used to determine the trading price and quantity of peer-to-peer trading with protection of the traders' privacy. A simulation conducted with a microgrid and prosumer households demonstrates the effectiveness of the proposed strategy. Purchase and sale bundling with consideration of the battery degradation cost can improve the economic benefits to the system and prosumer households.

Keywords: Fuzzy logic; Degradation cost; Bundling; Double-auction (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221024117

DOI: 10.1016/j.energy.2021.122163

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