Comprehensive energy system simulation method considering wind power and carbon transaction mechanism

Abstract

The invention discloses a comprehensive energy system simulation method considering a wind power and carbon trading mechanism. The method comprises steps of S1, obtaining the load data in a system, parameters of an energy supplier unit, the initial quota of carbon trading and the carbon price, and enabling the load data to comprise the electric heating declaration power and the declaration price;S2, determining a carbon transaction model through the carbon transaction initial quota and the carbon transaction cost; S3, wind power prediction power being sampled through Latin hypercube sampling,a typical scene set being extracted through a k-means clustering method, a wind power declaration model being established, and a double-layer planning problem being formed by a market clearing objective function and constraint conditions thereof; S4, a cplex solver and a particle swarm algorithm being adopted to iteratively solve a double-layer programming problem; and S5, obtaining a wind powerdeclaration mode, a carbon transaction result and a market clearing result. According to the method provided by the invention, the influence of a carbon transaction mechanism and the uncertainty of wind power output on the market is fully considered, and the transaction situation of the market can be described more accurately.

Description

technical field [0001] The invention relates to the technical field of power system operation and analysis, in particular to a comprehensive energy system simulation method considering wind power and carbon trading mechanisms. Background technique [0002] In recent years, in order to alleviate the energy crisis and promote sustainable development, my country's wind power and other new energy industries have developed rapidly. The amount and rate of curtailed wind across the country continue to decrease, but the problem of curtailed wind still exists. In 2019, my country's average wind abandonment rate was 4%, while those in Xinjiang and Gansu were 14% and 7.6%, respectively, much higher than the national average. The reasons leading to wind curtailment are: the market mechanism is not perfect, and it cannot reflect the low-carbon characteristics of wind power; Insufficient peak shaving capability of the system due to power failure. The continuous expansion of wind power ...

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Problems solved by technology

[0003] In terms of market mechanism design, the existing literature has analyzed the problems existing in the consumption of new energy, and designed the mechanism from the aspects of power generation rights trading, peak-shaving mechanism, and cross-province transactions, etc., which has guidance for promoting the consumption of new energy However, there are few studies on wind power accommodation in integrated energy systems

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