Capacity optimization and configuration method of individual micro-grid storage battery energy storage system

Abstract

The invention discloses a capacity optimization and configuration method of an individual micro-grid storage battery energy storage system. The capacity optimization and configuration method comprises the following steps: firstly, determining the installed capacity of wind power generation and photovoltaic power generation in the micro-grid and the size of load connected to the micro-grid system, and inputting each reference data required for calculation; making sure whether a diesel engine serving as a backup power supply is available or not and how large the capacity of the diesel engine power generation is according to the actual situation of the micro-grid; determining the relevant constraint conditions and each datum of the selected energy storage battery as well as setting indexes of the power shortage rate of the load power supply for the micro-grid; calculating the total power of wind and light generation according to the detailed resource data and the load power requirement in the same period of time so as to obtain the power balance; calculating the required energy storage capacity according to power balance of each period of time to obtain the power shortage which is possibly generated in each period of time and cannot be compensated by the storage battery; and calculating the total power shortage rate in the period of time required by the system so as to obtain the total capacity of the storage battery to meet the requirement. According to the invention, the reasonable energy storage capacity meeting the system running requirement can be obtained.

Description

technical field [0001] The invention belongs to the technical field of micro-grid systems, in particular to a capacity optimization configuration method for an independent micro-grid storage battery energy storage system. Background technique [0002] The most difficult point in the application of energy storage devices in microgrids lies in the determination of energy storage capacity in different application scenarios. When applying energy storage equipment in a microgrid, if the energy storage capacity cannot be scientifically determined according to the demand, on the one hand, the expected requirements may not be met because the energy storage capacity is too small; A lot of waste, so the rational allocation of energy storage capacity is of great significance. When configuring energy storage devices in a microgrid, if the various self-constraints of the energy storage devices are not considered comprehensively, the life of the energy storage devices will be greatly aff...

AI Technical Summary

Problems solved by technology

When applying energy storage equipment in a microgrid, if the energy storage capacity cannot be scientifically determined according to the demand, on the one hand, the expected requirements may not be met because the energy storage capacity is too small; A lot of waste, so the rational allocation of energy storage capacity is of great significance

When configuring energy storage devices in the microgrid, if the various self-constraints of the energy storage devices are not comprehensively considered, the life of the energy storage devices will be greatly affected, and even the safe operation of the entire system will be affected.

[0003] The currently commonly used energy storage capacity configuration methods mainly include: (1) configure the energy storage capacity according to the maximum power shortage that occurs during the system operation, but the disadvantage of this method is that the configured energy storage capacity will be greater than the actual demand, resulting in Waste; (2) Determine the required energy storage capacity according to various stability control strategies, but this method will be inaccurate and scientific due to the lack of overall consideration of the constraints of the energy storage device itself

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