Study on Capacity Ratio Optimization of Multi-Energy Power System

Wensheng Li, Bin Yang, Z. Yuan, Dan Huang, Peifen Cheng, Jiangyang Yun
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引用次数: 1

Abstract

In order to achieve the goal of "double carbon", it is urgent to build a new power system with new energy as the main body. It is vital for the construction and planning of new power system to reasonably optimize the installed ratio of various power supplies. To this end, this paper proposes a capacity allocation optimization method of multi energy power system based on complementary equilibrium theory, and establishes the capacity optimization models of multi-energy system such as wind power, thermal power, nuclear power and energy storage with the objective of minimizing the operation cost of the whole network. The model adopts the load characteristics, the output characteristics of new energy and the operation characteristics of energy storage power stations in the target power grid. The annual output time series of wind/photovoltaic and the load series are used as the input of the model. Through the annual time series production simulation calculation, the optimal capacity ratio of wind-photovoltaic-thermal-nuclear-storage system is determined to meet the conditions. Finally, a regional power grid in China is demonstrated as an example to verify the effectiveness and practicability of the proposed model and method.
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多能电力系统容量比优化研究
为实现“双碳”目标,迫切需要构建以新能源为主体的新型电力体系。合理优化各种电源的装机比例对新电力系统的建设和规划至关重要。为此,本文提出了一种基于互补均衡理论的多能电力系统容量分配优化方法,并以全网运行成本最小为目标,建立了风电、火电、核电、储能等多能系统容量优化模型。该模型采用目标电网的负荷特性、新能源输出特性和储能电站运行特性。采用风电/光伏年输出时间序列和负荷序列作为模型的输入。通过年度时间序列生产模拟计算,确定了满足条件的最佳风-光-热-核-蓄电系统容量比。最后,以中国某区域电网为例,验证了所提模型和方法的有效性和实用性。
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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