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Optimizing the economic and low-carbon dispatch of source and load in a substation microgrid based on the theory of carbon emission flow

Published: 31 July 2024 Publication History

Abstract

Driven by the dual carbon objectives, the power industry bears significant responsibility for achieving the new low-carbon transformation. However, traditional research on power optimization and scheduling tends to overlook the responsibility of carbon emissions caused by user-side electricity consumption behavior, focusing solely on economic and low-carbon optimization strategies from the power generation perspective. This paper constructs an economic and low-carbon optimization and scheduling model for source and load in substation microgrids. By controlling the generation cost on the source side and utilizing the node carbon intensity to reduce the carbon emissions on the load side, the model effectively reduces the overall system's electricity generation cost and carbon cost. The economic and low-carbon characteristics of the proposed model are verified by analyzing a modified case study of the IEEE33 node distribution network system.

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  1. Optimizing the economic and low-carbon dispatch of source and load in a substation microgrid based on the theory of carbon emission flow

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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