journal article·2025-08-14Open access

A Collaborative Scheduling Strategy for Multi-Microgrid Systems Considering Power and Carbon Marginal Contribution

Xiangchen Jiang, Haiteng Han, Simin Zhang, Zhihao Ya, Zhihao Lu, Chen Wu

Applied Sciences· Volume 15· Issue 16

Abstract

As global energy systems shift to low-carbon models, microgrid systems play an increasingly vital role in decentralized energy management. This study proposes a collaborative scheduling strategy, incorporating both power and carbon contribution for multi-microgrid systems. Through the utilization of a cooperative Stackelberg game and a Nash bargaining model, a bi-level game framework is established between grid operators and microgrid alliances, enabling efficient resource sharing and equitable benefit distribution. To accurately assess each microgrid’s impacts, a VCG (Vickrey–Clarke–Groves)-based mechanism is introduced to quantify its marginal contribution to both power supply and carbon mitigation. The contribution factors are then embedded into the bargaining process, guiding incentive-compatible allocation. Furthermore, to improve computational efficiency and enable distributed problem-solving, an enhanced analytical target cascading (ATC) algorithm is applied. Experimental results reveal that this approach improves both economic and environmental performance, effectively reducing carbon emissions and dependence on the main grid.
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Research context

OpenAlex topics: Microgrid Control and Optimization · Smart Grid Energy Management · Electric Vehicles and Infrastructure

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China

Funding

National Natural Science Foundation of China

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