Hierarchical Optimal Dispatch of Active Distribution Networks Considering Flexibility Auxiliary Service of Multi-community Integrated Energy Systems
Chunling Wang, Chunming Liu, Xiulin Zhou, Yang Li, Gaoyuan Zhang

TL;DR
This paper proposes a hierarchical stochastic dispatch method for active distribution networks that leverages multi-community integrated energy systems to improve renewable energy utilization and operational flexibility.
Contribution
It introduces a novel dispatch approach considering flexibility auxiliary services of MCIESs and develops an analytical distributed solving method based on target cascading theory.
Findings
Enhances renewable energy consumption in ADNs.
Increases MCIES revenue through optimized dispatch.
Reduces uncertainty risk in system operation.
Abstract
Active distribution networks (ADNs) are the main platforms for carrying large-scale distributed renewable energy and flexible resources, and multi-community integrated energy systems (MCIESs) may become important flexible resource supplies in ADNs owing to their multi-energy synergistic and complementary advantages. To fully utilize the flexible regulation potential of MCIESs for ADNs, a novel hierarchical stochastic dispatch approach for ADNs that considers flexibility auxiliary services of MCIESs is proposed. In this approach, a flexibility auxiliary service pricing strategy that combines adjustment cost and flexibility margin is established by evaluating the operational flexibility of MCIESs. In addition, considering renewable uncertainty, an MCIES-ADN flexibility interaction mechanism based on insufficient flexibility risk is designed to optimize their operation strategies and…
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Taxonomy
Methodstravel james
