计及可再生能源消纳的电热综合能源系统多目标优化模型

可再生能源因其清洁低碳的特点备受能源行业关注。但同时,可再生能源的不确定性也带来了严重的消纳问题。提高电力系统的灵活性去解决可再生能源的消纳问题成为当下研究热点之一。本文突破异质能源间的壁垒,基于电热综合能源系统去探索提高可再生能源的消纳能力。同时,立足于经济性与安全性指标,本文提出了一种多目标优化数学模型,并通过对偶转化和C CG算法对所提模型进行求解。最后,在算例测试中,通过对比电热综合能源系统与电力系统的各种测试指标证明了所提模型的有效性。

The Multi-Objective Optimization Model of Integrated Electric-Heat Energy Systems Considering the Renewable Energy Consumption

Renewable energy has attracted much attention from the energy industry due to its clean and low-carbon characteristics. But at the same time, the uncertainty of renewable energy also brings serious consumption problems. Improving the flexibility of the power system to solve the problem of renewable energy consumption has become one of the current research hotspots. This paper broke through the barriers between heterogeneous energy sources and explored the improvement of renewable energy consumption capacity based on the integrated electric-heat energy system. At the same time, based on economic and safety indicators, this paper proposed a multi-objective optimization mathematical model and solved the proposed model through dual transformation and C CG algorithm. Finally, in the case test, the effectiveness of the proposed model was demonstrated by comparing various test indicators of the integrated electric-heat energy system and the power system.