Full-life-cycle optimization planning method considering multi-segment service of energy storage battery

Abstract

The invention discloses a full-life-cycle optimization planning method considering multi-segment service of an energy storage battery, and the method comprises the steps: S1, modeling a battery lifecycle, dividing the battery life cycle into two life stages, enabling the two life stages to be sequentially used for an auxiliary service market and a real-time energy market, and building an incomemodel of the energy storage battery in different power markets; S2, taking the maximum total income of the energy storage battery system as a target; taking the battery capacity distribution proportions of different life stages as optimization variables, constructing a multi-segment service full life cycle optimization planning model of the energy storage battery system according to the constructed battery life cycle model and constraint conditions, and calculating the service life and the total cost/benefit of the batteries of different life stages; and S3, solving the planning model by usinga differential evolution algorithm to obtain a planning scheme of the energy storage battery system. The method helps investors to strategically distribute the energy of the energy storage battery todifferent markets so as to maximize the economic benefits of the investors and ensure the effective service life of the battery.

Description

technical field [0001] The invention relates to the technical field of power system planning, in particular to an optimal planning method considering the full life cycle of multi-segment services of energy storage batteries. Background technique [0002] The continuous advancement of power system reform and the opening of the power retail market have provided new opportunities for the development and application of Battery Energy Storage System (BESS). Energy storage battery is a kind of power source with flexible time scale, which has the advantages of fast response speed and high control precision, and can effectively meet the needs of system optimization operation. The energy storage battery system can provide a variety of services to support the grid, but the return on investment, operating conditions, and impact on the service life of the energy storage battery system vary greatly between different services. The service life of an energy storage battery is an important...

AI Technical Summary

Problems solved by technology

However, high-frequency deep charging and discharging behavior will make the battery performance rapidly decline, affect the precise response ability of the battery, accelerate the aging process of the battery, and seriously shorten the normal life of the battery

Due to the premature failure of energy storage batteries, the replacement cycle of energy storage batteries is shortened, resulting in high actual construction costs and recycling costs, which will further cause economic losses and environmental pollution

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