上海交通大学学报

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考虑多类型灵活性资源联合运行的综合能源系统优化配置方法(网络首发)

  

  1. 西南交通大学电气工程学院
  • 基金资助:
    国家自然科学基金(52377123); 四川省自然科学基金(2022NSFSC0027)资助项目

Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multi-Type Flexible Resources

  1. (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China)

摘要: “双碳”战略下,可再生能源渗透比例不断提升,随之而来的灵活性资源缺乏问题也日趋严重。为构建安全、高效、低碳的清洁能源系统以应对这一挑战,提出了一种考虑多灵活性资源联合运行的综合能源系统优化配置方法。所述方法首先对电转气设备的两阶段运行进行了精细化建模,引入了掺氢燃气轮机和电转气设备协同运行,以充分利用H2的低碳特性,同时通过碳捕集设备向电转气设备提供碳原料,实现了CO2的循环利用,从而构建了以氢能为核心的灵活性资源联合运行框架;然后,针对可再生能源出力不确定性问题,通过Elbow法确定了最优聚类数目,并利用K-means聚类算法得到了风速的典型场景;在此基础之上,以投资成本、运维成本、置换成本、环境惩罚和弃风惩罚成本之和最小为目标,综合考虑设备约束、能量平衡约束及灵活性约束建立了优化配置模型;为解决模型的非线性问题,采用了大M法将其线性化处理并完成模型求解。最后,基于西南某地区实测数据进行了算例验证,结果表明:采用本文提出的方法,所示综合能源系统的总成本降低了10.22%、新能源渗透率提高了6.01%、环境惩罚成本降低了2.65%,所提方法有效提升了系统的经济性、新能源消纳量,显著降低了系统碳排放水平。

关键词: 灵活性资源, 综合能源系统, 优化配置, 氢能, 不确定性

Abstract: Under the ‘dual carbon’ strategy, the penetration ratio of renewable energy is increasing, and the lack of flexible resources is becoming more and more serious. To build a safe, efficient, lowcarbon and clean energy system to meet this challenge, an integrated energy system optimization allocation method considering the joint operation of multiple flexibility resources is proposed. The proposed method firstly refined the modeling of the two stages of the power-to-gas equipment, and the coordinated operation of the hydrogen-doped gas turbine and the power-to-gas equipment is introduced to make full use of the low-carbon characteristics of H2. At the same time, the carbon capture equipment provides carbon raw materials to the power-to-gas equipment to realize the recycling of CO2, thus constructing a flexible resource joint operation framework with hydrogen energy as the core. Then, aiming at the uncertainty of renewable energy output, the optimal clustering number is determined by Elbow method, and the typical scene of wind speed is obtained by K-means clustering algorithm; on this basis, an optimal allocation model is established with the objective of minimizing the sum of investment cost, operation and maintenance cost, replacement cost, environmental penalty and wind abandonment penalty cost, taking into account the equipment constraints, energy balance constraints and flexibility constraints; in order to solve the nonlinear problem of the model, the large M method is adopted to linearize it and complete the model solution. Finally, an example validation is carried out based on the measured data in a region in southwest China, and the results show that the total cost of the integrated energy system shown in this paper is reduced by 10.22%, the penetration rate of new energy is increased by 6.01%, and the cost of environmental penalties is reduced by 2.65%, which effectively improves the economy of the system and the amount of new energy consumed, and significantly reduces the level of system carbon emissions.

Key words: Flexibility resources, Integrated energy system, Optimal configuration, Hydrogen energy, Uncertainty

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