考虑不确定变量VMD及绿证-碳联合交易的综合能源系统经济优化调度

doi:10.19595/j.cnki.1000-6753.tces.240967

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摘要

为了挖掘热电联产、储能设备等多元设备的差异化响应能力以实现综合能源系统（IES）中不确定变量的有效应对,该文提出一种考虑不确定变量变分模态分解（VMD）和绿证-碳联合交易的综合能源系统经济优化调度方法。首先,在IES运行框架下,提出了面向电-热-气负荷等不确定变量VMD低/中/高频分量的设备差异化响应方法流程;其次,在绿证和碳交易机制基础上,考虑绿证碳减排机理,构建了绿证-碳联合交易机制;再次,考虑IES内多元设备的差异化幅/频响应能力,建立了一种以综合成本最小为目标的IES经济优化调度模型,并将模型依据VMD低/中/高频分量顺序进行逐层传递、迭代求解;最后,算例结果表明所提模型能够较好地提高IES新能源消纳能力和碳减排能力,验证了模型的合理性与有效性。

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关键词 ：变分模态分解, 绿证交易机制, 碳交易机制, 风电消纳, 综合能源系统

Abstract：

With the increasing volatility and randomness of uncertain variables such as load and new energy, how to rationally dispatch multiple equipment such as cogeneration, gas boiler and energy storage equipment in integrated energy system (IES) according to the response characteristics of the existing potential response resources in IES to cope with the changes of uncertain variables has become the key to explore the differentiated response ability of IES multiple equipment. To solve the above problems, this paper proposes an economic optimal scheduling method for integrated energy systems, which takes into account variational mode decomposition (VMD) of uncertain variables and green certificate-carbon joint trading. By analyzing and mining the potential differential response ability of multiple devices in IES, the response ability of IES system to uncertainty variable volatility and randomness is improved.
Firstly, according to the commonness and difference of multiple types equipment operating response in time scale and regulatory amplitude in IES, uncertain variables such as wind power, electricity/heat/gas load are decomposed into low/medium/high frequency components with different amplitude and frequency through VMD to adapt to the response characteristics of multiple types equipment. Secondly, on the basis of considering the green certificate trading mechanism (GCT) and the carbon trading mechanism (CET), quantitatively calculate the carbon emission reduction of new energy compared with fossil energy in the process of online access, and offset part of the carbon emission through the carbon emission reduction caused by the green certificate, so that the carbon emission source can be reduced to a certain extent in the calculation of carbon emissions, which indirectly affects the carbon trading mechanism. Based on this, the green certificate-carbon joint trading mechanism is constructed. Finally, the medium and large-sized equipment with large inertia responds to the low-frequency component with low frequency and large amplitude, and the energy storage equipment that needs repeated charging and discharging responds to the medium/high-frequency component with small amplitude and positive/negative periodic oscillation, and then an economic optimisation scheduling model of the IES with the objective of minimising the comprehensive cost is established on the basis of the model, which is then passed layer by layer and iteratedly solved based on the order of VMD's low/medium/high-frequency components.
Through theoretical analysis and case simulation, the following conclusions are drawn: (1) The predicted power, electrical load, thermal load and gas load of wind power are decomposed into low, medium and high frequency components through VMD, which are suitable for the operation characteristics and response characteristics of energy storage equipment. The scheduling method proposed in this paper reduces the operation state of overcharge and overdischarge of energy storage equipment, which can effectively improve the utilization rate of energy storage equipment and further improve the system's ability to absorb new energy. (2) Compared with a single energy storage device, the hybrid energy storage system can better smooth and absorb wind power in different frequency bands according to the different frequency characteristics of wind power, so as to eliminate more wind abandonment and reduce the comprehensive cost of the system. (3) Compared with the single CET or GCT mechanism, the GCT-CET linkage mechanism can not only improve the absorption capacity of renewable energy in the integrated energy system, but also promote the further reduction of carbon emissions of the system.

收稿日期: 2024-06-07

PACS:

TM73

基金资助:

国家重点研发计划资助项目（2019YFB1505400）

通讯作者: 王艺博男,1989年生,博士,副教授,硕士生导师,研究方向为配电网柔性调控、直接式AC/AC变换、电力市场交易与新型电力系统优化调度等。E-mail：469682939@qq.com

作者简介: 刘晓军女,1979年生,硕士,副教授,硕士生导师,研究方向为电力系统继电保护与稳定控制、综合能源系统优化运行。E-mail：lxjnedu@126.com

引用本文:

刘晓军, 熊健, 王艺博, 刘闯, 徐粤洋. 考虑不确定变量VMD及绿证-碳联合交易的综合能源系统经济优化调度[J]. 电工技术学报, 0, (): 240967-240967. Liu Xiaojun, Xiong Jian, Wang Yibo, Liu Chuang, Xu Yueyang. Economic Optimization of Integrated Energy System Scheduling Considering Uncertainty Variables VMD and Green Certificate-Carbon Joint Trading. Transactions of China Electrotechnical Society, 0, (): 240967-240967.

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