包含分布式能源资源的配电网长期收入预测技术经济模型

Qihe Lou, Yanbin Li
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引用次数: 0

摘要

分布式能源资源(DER)是配电网中的一种普遍技术。然而,如何做出最优决策、估算总投资回报、预测未来电网运行性能以实现投资发展目标,对配电网运营商提出了挑战。传统方法大多依赖当前数据对配电网投资进行静态分析,未能考虑相关因素长期动态变化对配电网运行和投资收益的影响。因此,本文提出了一种考虑分布式发电的配电网技术经济方法。首先,利用系统动力学模型建立了各投资主体与配电网效益关系的分析方法,构建了配电网投资效益分析指标体系。其次,采用基于 dist 流方法的配电网运行技术模型。该模型考虑了各种网络约束条件,便于综合分析多因素动态变化下的配网运行情况。因此,需要更新技术指标参数以反映这些变化。然后将更新的信息整合到系统动力学模型中,建立技术经济模型的互动模拟。通过使用实际案例进行严格验证,所提出的方法能够获得不同投资策略的多重效益,并能够选择更好的解决方案。这可以为未来的电网规划提供参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Techno-economic model for long-term revenue prediction in distribution grids incorporating distributed energy resources
Distributed energy resources (DER) is a prevalent technology in distribution grids. However, it poses challenges for distribution network operators to make optimal decisions, estimate total investment returns, and forecast future grid operation performance to achieve investment development objectives. Conventional methods mostly rely on current data to conduct a static analysis of distribution network investment, and fail to account for the impact of dynamic variations in relevant factors on a long-term scale on distribution network operation and investment revenue. Therefore, this paper proposes a techno-economic approach to distribution networks considering distributed generation. First, the analysis method of the relationship between each investment subject and distribution network benefit is established by using the system dynamics model, and the indicator system for distribution network investment benefit analysis is constructed. Next, the distribution network operation technology model based on the dist flow approach is employed. This model takes into account various network constraints and facilitates the comprehensive analysis of distribution network operation under dynamic changes in multiple factors. Consequently, the technical index parameters are updated to reflect these changes. This updated information is then integrated into the system dynamics model to establish an interactive simulation of the techno-economic model. Through rigorous verification using practical examples, the proposed method is able to obtain the multiple benefits of different investment strategies and be able to select the better solution. This can provide reference value for future power grid planning.
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