Optimal configuration method for distributed energy storage system

Abstract

The invention discloses an optimal configuration method for a distributed energy storage system. The method comprises the following steps: acquiring historical data and classifying the historical data so as to determine a cluster number and an initial clustering center; according to the cluster number and the initial clustering center, carrying out clustering to obtain a clustering result; according to the clustering result, generating a plurality of typical days; carrying out economic evaluation on a configuration scheme of the distributed energy storage system according to the typical days and carrying out optimization by a genetic algorithm so as to generate the optimal configuration. The method disclosed by the invention comprehensively considers installation cost of the energy storage system, operation cost of a power grid, interest arbitrage earnings of the energy storage system and the like; the position and capacity of the energy storage system in a power distribution network can be subjected to optimal configuration; the economic benefits of the whole society are increased.

Description

technical field [0001] The invention relates to the technical field of configuration optimization of a distribution network energy storage system, in particular to an optimal configuration method of a distributed energy storage system. Background technique [0002] With the rapid development of the global economy and the continuous growth of load demand, the future development of the power system will be based on reliability, quality, safety, economy, and flexibility. The power system undergoes earth-shaking changes during its operation, and some problems are gradually exposed. In terms of distribution network, the key problems include: 1. There is an increasing peak-to-valley difference in power load demand, and the installed capacity of the system 2. Users in the distribution network have increasingly high requirements for power quality and reliability; 3. It is necessary to deeply consider the impact of environmental protection and other factors on the sustainable develop...

AI Technical Summary

Problems solved by technology

The power system undergoes earth-shaking changes during its operation, and some problems are gradually exposed. In terms of distribution network, the key problems include: 1. There is an increasing peak-to-valley difference in power load demand, and the installed capacity of the system It cannot meet the demand of distribution network load during peak hours; 2. Users in distribution network have increasingly high requirements for power quality and reliability; 3. It is necessary to deeply consider the impact of environmental protection and other factors on the sustainable development of power system

However, the disadvantage of this optimization method is that only wind power is considered for new energy, and photovoltaic power generation widely existing in the grid is ignored; the investment cost, operation and maintenance cost and network loss cost of energy storage power stations are considered in the objective function, while for storage The cost caused by arbitrage of power plants and the cost caused by reactive power are less considered

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