Energy storage system capacity configuration method considering capacity electricity price and load prediction error

Abstract

The invention discloses an energy storage system capacity configuration method considering capacity electricity prices and a load prediction error, and belongs to the technical field of electric power systems. The method is based on a distributed energy management system, a local energy storage system battery includes an optimization scheduling part used for performing optimization scheduling on a day-ahead predicted load and an emergency part used for performing optimization compensation on an uncertain load caused by a load prediction error, and through introduction of a capacity electricity price charging system, an energy storage system economy model and an optimal charging and discharging scheduling strategy, taking minimization of overall average daily cost of single users as an optimization goal to perform energy storage system optimal capacity configuration. The invention proposes an optimization algorithm combining a traversal iteration theory and a double-stage optimization theory, and adopts a mixed integer linear planning model to describe battery capacity optimization solutions of two stages separately. For users, scientificity and accuracy of the energy storage system capacity configuration method are improved, and the method has important scientific meaning and application value to research and popularization of an energy storage system.

Description

technical field [0001] The invention relates to a method for configuring the capacity of an energy storage system in a distributed energy management system that considers the uncertainty of power load forecasting. Average daily cost, an optimization problem for urban power grid users, belongs to the field of power systems. Background technique [0002] With the development of social economy and the continuous improvement of people's living standards, the load in the power system shows that the peak-to-valley load difference increases year by year, while the maximum load utilization hours decrease year by year. The continuous increase of load leads to the increasing peak-to-valley difference of load, which in turn leads to the imbalance between supply and demand of the power system. The frequent occurrence of peak power shortages seriously affects the normal quality of life of local residents and the development of local economic industries. In order to solve this peak-valle...

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Problems solved by technology

The continuous increase of load leads to the increasing peak-to-valley difference of load, which in turn leads to the imbalance between supply and demand of the power system.

The frequent occurrence of peak power shortages seriously affects the normal quality of life of local residents and the development of local economic industries. In order to solve this peak-valley difference, the country has to spend huge sums of money to build peak-shaving power plants and pumped storage power plants for peak-shaving. High cost and easy to waste resources

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