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Keywords

credibility incentive; TDLA; shared energy storage; power reversal; load rate

Abstract

In response to the heavy overload and reverse power of transformers caused by the high proportion of distributed power sources and new loads connected to rural power distribution systems, an optimization method of shared energy storage in rural multiple transformer districts is proposed based on credibility incentive.First, a power grid-transformer district load aggregator （transformer district load aggregator, TDLA）-user system operating framework is established.An effective demand response strategy is formulated based on credibility incentives and response volume metrics are introduced, allowing TDLA to interact with users who have a large number of flexible resources, guide users to change their own electricity consumption strategies, and optimize the source-charge relationship.Secondly, the source-load differences between multiple transformer districts and the resource sharing of shared energy storage as adjustment means are fully utilized to establish a multiple TDLA-shared energy storage two-layer optimization model.The upper model takes the lowest cost of the multiple TDLA as the goal, while the lower-layer model aims to minimize the amount of electricity sent back to the power grid from multiple transformer districts.Finally, through an actual case of a rural distribution network in Shanxi, it turns out that the TDLA operating costs can be reduced by the application of optimization method of shared energy storage in rural multiple transformer districts based on credibility incentive, with the decreased power backflow from the station to the power grid as well as the lower load rate and reverse load rate of the transformer districts.

DOI

10.19781/j.issn.1673-9140.2025.05.027

First Page

284

Last Page

296

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