Multi-mode optimization operation method for energy storage system of communication base station

Abstract

The invention discloses a multi-mode optimization operation method for an energy storage system of a communication base station, and the method carries out the optimization based on the distribution network load power and new energy output of an area where the energy storage system of the communication base station is located, and divides the operation modes of the communication base station into three modes: fluctuation stabilization, time-of-use electricity price, and standby supply. By considering the fluctuation of distributed new energy power generation output and the uncertainty of electrical load in the region, an optimization model taking system operation cost, maintenance cost and regional distribution network power variance as targets is constructed according to the operation mode, and nonlinear constraints are introduced to construct a robust optimization problem; and solving the problem by using an improved column and a constraint generation algorithm to obtain a corresponding scheduling strategy to guide the optimal operation of the energy storage system of the communication base station. The utilization rate of the communication base station energy storage system is improved, the distribution network power fluctuation of the area where the communication base station energy storage system is located is reduced, the electric energy quality is improved, the power supply and demand balance of the area is guaranteed, and the power utilization cost of users is effectively reduced.

Description

technical field [0001] The invention relates to the field of energy storage optimization scheduling, in particular to a multi-mode optimal operation method for energy storage systems of communication base stations solved by using improved sequence and constraint algorithms. Background technique [0002] After a large number of distributed energy storage is connected to the distribution network, the traditional operation mode of the distribution network has been changed. The sequential control method adopted by the original control system has low efficiency, high communication requirements, and general control effect; most distributed energy storage generates power Small, large in number and scattered on the user side, directly scheduling all distributed energy storage will lead to high costs and reduced economic benefits, and further integration is required; in addition, with the large-scale construction of 5G base stations, communication base station energy storage The syst...

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Problems solved by technology

[0003] Existing energy storage optimization operation methods mostly construct robust optimization problems and use column sum constraint algorithms to solve them. In constructing robust optimization problems, segmental linearization approximation to nonlinear objectives is often used, but the increase in the number of segments will lead to problems The complexity of the solution has increased sharply, and it is necessary to start with the robust quadratic optimization problem, and study the optimization algorithm that directly solves the nonlinear optimization objective

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