Electric energy transaction method of power distribution system operator based on credibility theory

Abstract

The invention discloses a credibility theory-based electric energy transaction method for a power distribution system operator, and belongs to the technical field of an electric power market in an uncertain environment. Multiple transactions including spot markets, option contracts and bilateral contracts are considered, and a DSO multi-electric-energy transaction model is established; establishing a membership function of spot electricity price prediction errors based on a credibility theory and deducing a credibility distribution function of the membership function; establishing an uncertainty risk measurement model under the fuzzy opportunity constraint, and converting the uncertainty risk measurement model into a deterministic robust optimization model; and solving the robust optimization model to obtain an electric energy transaction strategy of the DSO under the condition that the spot electricity price is uncertain. According to the method, the problem of electricity purchase risk caused by the uncertainty of the electricity price of the spot market by the DSO is solved, the electricity purchase cost of the DSO is reduced by utilizing different electric energy transaction risk characteristics, the electricity purchase proportion of each market is determined by utilizing the model, and the credibility that the actual cost is smaller than the expected cost is solved while the electric energy transaction robustness of the DSO is improved.

Description

technical field [0001] The electric energy trading method for distribution system operators based on credibility theory belongs to the technical field of electric power market in uncertain environment. Background technique [0002] A distribution system operator (DSO) is responsible for maintaining power quality and supply security by building, reconfiguring and investing in existing distribution systems. With the deepening of the reform of the electricity market environment, DSOs with distributed generation capabilities, as stakeholders, play an important role in the power transaction of the distribution system. That is, DSO purchases electricity in the upper wholesale market to meet customer load demand. However, there is uncertainty in spot market prices due to factors such as fuel prices, electricity demand and fluctuations in renewable energy generation. Moreover, since the forecast of spot price inevitably has errors, the uncertainty of price needs to be considered i...

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Problems solved by technology

However, robust optimization only considers the worst-case optimization problem, and does not fully consider the risk preference characteristics of decision makers. Stochastic optimization requires a lot of calculations, and the solution efficiency is reduced.

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