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A Two-Layer Active Power Optimization and Coordinated Control for Regional Power Grid Partitioning to Promote Distributed Renewable Energy Consumption.

Authors :
Li, Wentao
Liu, Jiantao
Li, Yudun
Ming, Guoxin
Zhang, Kaifeng
Yuan, Kun
Source :
Energy Engineering; 2024, Vol. 121 Issue 9, p2479-2503, 25p
Publication Year :
2024

Abstract

With the large-scale development and utilization of renewable energy, industrial flexible loads, as a kind of load-side resource with strong regulation ability, provide new opportunities for the research on renewable energy consumption problem in power systems. This paper proposes a two-layer active power optimization model based on industrial flexible loads for power grid partitioning, aiming at improving the line over-limit problem caused by renewable energy consumption in power grids with high proportion of renewable energy, and achieving the safe, stable and economical operation of power grids. Firstly, according to the evaluation index of renewable energy consumption characteristics of line active power, the power grid is divided into several partitions, and the inter-zone tie lines are taken as the optimization objects. Then, on the basis of partitioning, a two-layer active power optimization model considering the power constraints of industrial flexible loads is established. The upper-layer model optimizes the planned power of the inter-zone tie lines under the constraint of the minimum peak-valley difference within a day; the lower-layer model optimizes the regional source-load dispatching plan of each resource in each partition under the constraint of the minimum operation cost of the partition, so as to reduce the line over-limit phenomenon caused by renewable energy consumption and save the electricity cost of industrial flexible loads. Finally, through simulation experiments, it is verified that the proposed model can effectively mobilize industrial flexible loads to participate in power grid operation and improve the economic stability of power grid. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01998595
Volume :
121
Issue :
9
Database :
Complementary Index
Journal :
Energy Engineering
Publication Type :
Academic Journal
Accession number :
179272021
Full Text :
https://doi.org/10.32604/ee.2024.050852