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Optimal economic dispatch model of distribution network considering coordination of multiple controllable loads

Published: 31 July 2024 Publication History

Abstract

To effectively deal with the challenges brought by large-scale distributed renewable energy and controllable load access to the Distribution Network (DN) in terms of economic optimization scheduling, this paper first considers the energy transfer characteristics of battery energy storage system(ESS) and electric load which can take part in demand side management, and establishes a multi-variable controllable load adjustable model. Then, considering the peak regulation ability and dynamic constraints of multiple controllable loads in the DN, the economic optimal dispatch model of the DN is built with the lowest operating cost. Finally, taking the actual data of a DN as an example, the dispatch simulation analysis is carried out on the improved IEEE14 node distribution system to proof the feasibility of the model proposed.

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S Mat Zali and J V Milanovié. 2013. Generic model of active distribution network for large power system stability studies. J. IEEE Transactions on Power Systems., 28(3): 3126-3133.
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Zhu X, Wang B and Li H. 2020. Study on distributed photovoltaic location and capacity selection of rural distribution network based on improved particle swarm optimization. J. Power Capacitor & Reactive Power Compensation., 41(4):206-214.
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Teng Y, Yan J and Hui Q. 2021. Optimization operation model of zero-waste electricity-hydrogen charging service area multi - energy microgrid. J. Proceedings of the CSEE., 41(6):2074-2087.

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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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    Association for Computing Machinery

    New York, NY, United States

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    Published: 31 July 2024

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