The development of a modernized power system constitutes a pivotal initiative and essential requirement for achieving carbon peak and carbon neutrality targets. It further represents an inevitable choice for ensuring energy security autonomy and enhancing comprehensive industrial competitiveness. New-type energy storage(NTES)

characterized by bi-directional regulation capabilities and operational flexibility

serves as a critical component in modernized power systems. Nevertheless

substantial investments are required for NTES construction

operation

and maintenance. Scientific planning and orderly deployment of regionally grid-independent energy storage are imperative to enhance local renewable energy integration

address power supply deficits

and optimize regional generation portfolios. Therefore

this paper proposes a research method of capacity allocation and planning layout of independent energy storage for regional power grids based on time-series simulation. Firstly

based on the annual elevating load data of transformer substation

K-means clustering algorithm is used to calculate the energy storage capacity that can be accepted by substations. Then

with the goal of stabilizing the peak and valley of substation load

the energy storage charging and discharging strategy is optimized by time series simulation. Finally

the results of regional power grid energy storage planning and configuration are obtained according to utilization ranking. Taking a regional power grid in Jiangsu Province as a practical example

the simulation analysis verifies the superiority of the proposed model and algorithm.