Control and Optimization of Power Dispatching System Based on New Energy Mode

Jiashuo Zheng, Yuwen Li, Dong Guo, Tiejun Yan, Jialin Wang, Eerdun Li
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Abstract

At present, new energy sources such as wind or solar energy are connected to the power grid on a large scale. Due to the characteristics of regionalism, intermittency, volatility, and low controllability, it is not conducive to the safe and stable operation of the power system [1]. New energy can also not be completely absorbed. Based on the output characteristics of new energy and the operation mode of power grid dispatching, this paper analyzes the influence of new energy generation on the power grid dispatching system. To achieve the lowest generation cost, the highest operating efficiency, the best new energy consumption, and the best control mode. This paper summarizes and puts forward four optimal dispatching theoretical models for the above objectives. These models generally meet the demand for new energy power generation structures. They can realize the interaction of multiple sources of the power grid and improve the dispatch ability of the power grid. In the load forecasting model, it proposed a 96 times node forecasting way based on the analysis of historical data. This method can comprehensively improve the proportion of grid-connected power generation of new energy from both sides. In other models, this paper proposed several strategies for optimizing power grid dispatching modes in the new energy system. The related forecasting model, dispatching model, and improving new energy consumption model in this paper will have a certain reference value for the joint dispatching management of multiple generation modes.
基于新能源模式的电力调度系统控制与优化
目前,风能、太阳能等新能源已大规模并网。由于其具有区域性、间歇性、波动性、可控性低等特点,不利于电力系统的安全稳定运行[1]。新能源也不能完全被吸收。根据新能源的输出特性和电网调度的运行模式,分析了新能源发电对电网调度系统的影响。实现最低的发电成本、最高的运行效率、最佳的新能源消耗、最佳的控制方式。针对上述目标,本文总结并提出了四种优化调度理论模型。这些模式基本满足了新能源发电结构的需求。它们可以实现电网多源的交互,提高电网的调度能力。在负荷预测模型中,提出了一种基于历史数据分析的96次节点预测方法。该方法可以全面提高双方新能源并网发电比例。在其他模型中,本文提出了几种优化新能源系统电网调度模式的策略。本文所建立的相关预测模型、调度模型以及改进的新能耗模型,对多发电模式联合调度管理具有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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