计及需求响应的新能源并网系统优化调度算法
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国际自然科学基金(51477070);河南省高校人文社会科学研究(2023-ZDJH-189)


Optimization Scheduling Algorithm for New Energy Grid Connected Systems Considering Demand Response
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    摘要:

    为提高新能源的利用率、降低运营成本,实现可靠的并网运行,提出需求响应的新能源并网系统优化调度算法。基于电、气、热负荷建立系统用户需求响应模型,以运行商经济效益最大化为目标,建立基于价格的新能源并网系统能源分散调度模型,并确定相应的约束条件。通过改进粒子群算法求解基于价格的新能源并网系统能源分散调度模型,实现新能源并网系统的优化调度。实验结果表明,该算法调度效果更好、稳定性更强、更适合于实际应用。

    Abstract:

    To enhance the utilization rate of new energy, reduce operational costs, and achieve reliable grid-connected operation, an optimized dispatch algorithm for new energy grid-connected systems considering demand response is proposed. Based on the electric, gas, and thermal loads, a system user demand response model is established. Aiming at maximizing the economic benefits of the operator, a price-based decentralized energy dispatch model for new energy grid-connected systems is established, and the corresponding constraints are determined. By improving the particle swarm optimization algorithm, the price-based decentralized energy dispatch model for new energy grid-connected systems is solved, achieving optimized dispatch of the new energy grid-connected system. Experimental results show that the algorithm has better dispatch performance, stronger stability, and is more suitable for practical applications.

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万 莉.计及需求响应的新能源并网系统优化调度算法[J].,2025,44(11).

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  • 收稿日期:2024-10-06
  • 最后修改日期:2024-11-12
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  • 在线发布日期: 2025-12-02
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