Clearing method for participation of multi-element small and micro subjects in spot market based on virtual power plant

Abstract

The invention provides a clearing method for participation of multi-element small and micro subjects in spot market based on virtual power plant, and solves the risk problem brought by uncertainty ofcompetitors to VPP earnings in a transaction decision game process. The method comprises the steps: firstly, constructing a double-layer clearing model considering electricity price uncertainty and constraint conditions of the double-layer clearing model based on power grid side VPP parameters and information of electric energy buyers and sellers; secondly, solving the double-layer clearing modelbased on constraint conditions of the double-layer clearing model to obtain an optimal bidding result and an optimal income of a day-ahead frequency modulation market of day-ahead energy and duration;and finally, obtaining the bid winning condition, the optimal quotation and the clearing price of each market subject according to the optimal bidding result and the optimal income. According to themethod, through the two-stage double-layer clearing model and the two-stage double-layer constraint condition established by the clearing method, visual benefit analysis and bidding decision of the peak regulation market in which the power grid side energy storage participates in considering the electricity price uncertainty can be simply and conveniently achieved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a clearing method based on a virtual power plant with multiple small and micro entities participating in the spot market. Background technique [0002] Over the past few years, environmental concerns have led to an increase in the penetration of renewable energy in several power systems around the world. However, the integration of renewable energy generation poses many challenges to the operation of power systems, especially due to the limited predictability and high variability of the main "fuels" (i.e., wind, solar radiation), characteristics that make renewable energy plants Not schedulable. [0003] So far, a lot of research has been carried out in order to find the best way to integrate renewable energy plants into the existing electricity system within the concept of smart grid. Among them, Demand Response (DR) and Distributed Energy Storage (DS) have been proven...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the technical problem that the introduction of multi-scenario description of the risks brought by the uncertainty of competitors in the transaction decision-making game process to the VPP’s income and the inability to guarantee VPP’s rational participation in market-oriented transactions, the present invention proposes A clearing method based on virtual power plants with multiple small and micro entities participating in the spot market, providing a two-stage double-layer joint bidding model; first, in the first stage, based on the idea of ​​clustering, multiple small and micro entities are aggregated into a VPP and unified Secondly, according to the analysis of the output characteristics of multiple small and micro entities, a preprocessing is performed on the entire VPP, so that the upper and lower limits of the entire VPP charge and discharge can be determined; the second stage is that the VPP participates in the combination of the energy before the day and the real-time balance market. Bidding strategy master-slave game model, its goal is the profit maximization combined with the minimization of expected real-time production and consumption imbalance costs; the two-stage double-layer clearing model and the two-stage clearing method established by the clearing method in the present invention Double-layer constraint conditions can easily and conveniently realize the visualized benefit analysis and bidding decision of the peak-shaving market in which grid-side energy storage participates in considering the uncertainty of electricity prices

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