Distribution network energy storage optimization configuration method considering whole life cycle cost

Abstract

The invention discloses a distribution network energy storage optimization configuration method considering whole life cycle cost. A two-stage optimization solution method is adopted to solve the problems of distribution network energy storage addressing and constant volume; from the aspects of energy storage to stabilize voltage fluctuations caused by distributed power and load, with the whole life cycle cost of energy storage as an optimization goal, a two-stage optimization model is established; in a first stage, candidate nodes are screened through a genetic algorithm and a simulated annealing algorithm, and energy storage required mounting nodes and the energy storage operation strategy and the minimum mounting capacity of each node are outputted finally; and in a second stage, the service life of the energy storage is considered based on the optimization result in the first stage, and the energy storage capacity configuration with the lowest whole life cycle cost is optimized through the genetic algorithm and the simulated annealing algorithm. The method considers the random output fluctuation of the distributed power and the whole life cycle cost of the energy storage system, and can obtain a more economical energy storage location and a capacity allocation scheme for the distribution network, and a reference is provided for the distribution network energy storage optimization configuration method.

Description

technical field [0001] The invention belongs to the field of distribution network energy storage optimization configuration method. On the basis of considering the smoothing of the distribution network voltage fluctuation caused by the random fluctuation of renewable energy, a distribution network energy storage optimization method based on the whole life cycle cost is specially designed. . Background technique [0002] With the increasingly prominent energy crisis and environmental pollution, distributed generation (Distributed Generation, DG) grid-connected power generation has become an important research direction of the power industry in the 21st century, and countries around the world are vigorously developing distributed power such as wind power and photovoltaic power generation. Compared with conventional power sources, wind energy and photovoltaics are random and intermittent energy sources. In the future, DGs such as wind energy and photovoltaics will be connected ...

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Problems solved by technology

However, the relevant research has rarely considered the impact of its configuration location on the energy storage capacity when planning the capacity of the energy storage device, and quantitatively evaluated and calculated the life of the energy storage while considering the operation of the system. The planning results are difficult to take into account the use of energy storage. life, thus increasing the configuration cost and reducing the economics of energy storage

[0004] At present, the energy storage optimization methods of distribution network rarely involve the calculation of the whole life cost, and most of them are two-layer optimization models, the outer layer optimizes the energy storage capacity, and the inner layer optimizes the energy storage operation, the iteration is complicated and the calculation amount is large

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