计及碳捕集和旋转备用配置的低碳优化运行

doi:10.12204/j.issn.1000-7229.2024.01.010

电力建设 ›› 2024, Vol. 45 ›› Issue (1): 102-111.doi: 10.12204/j.issn.1000-7229.2024.01.010

计及碳捕集和旋转备用配置的低碳优化运行

寇洋¹(), 武家辉¹(), 江欢¹(), 张华²(), 杨健²()

1.可再生能源发电与并网控制教育部工程研究中心(新疆大学),乌鲁木齐市 830047
2.中广核新能源投资(深圳)有限公司新疆分公司,乌鲁木齐市 830011

收稿日期:2023-02-07 出版日期:2024-01-01 发布日期:2023-12-24
通讯作者: 武家辉(1988),女,博士,副教授,主要研究方向为风电并网系统稳定性、复杂能源系统稳定与控制,E-mail:wjh229@xju.edu.cn。
作者简介:寇洋(1996),男,硕士研究生,主要研究方向为电力系统运行分析与优化,E-mail:564241835@qq.com;
江欢(1997),女,硕士研究生,主要研究方向为电力系统脆弱性分析,E-mail:1327372254@qq.com;
张华(1971),男,本科,高级工程师,主要研究方向为风力发电控制、新能源消纳,E-mail:wind1500@126.com;
杨健(1989),男,本科,工程师,主要研究方向为新能源智慧集控、新能源发电能力优化,E-mail:791588261@qq.com。
基金资助:
国家自然科学基金项目(52167016);新疆维吾尔自治区自然科学基金项目(2020D01C068)

Low Carbon Optimized Operation Considering Carbon Capture and Spinning Reserve Capacity

KOU Yang¹(), WU Jiahui¹(), JIANG Huan¹(), ZHANG Hua²(), YANG Jian²()

1. State Centre for Engineering Research, Ministry of Education for Renewable Energy Generation and Grid-Connected Control (Xinjiang University), Urumqi 830047,China
2. CGN New Energy Investment (Shenzhen) Co., Ltd. Xinjiang Branch, Urumqi 830011,China

Received:2023-02-07 Published:2024-01-01 Online:2023-12-24
Supported by:
National Natural Science Foundation of China(52167016);Natural Science Foundation of Xinjiang Uygur Autonomous Region(2020D01C068)

摘要/Abstract

摘要：

为降低电力系统碳排放量,促进大规模风电的并网与消纳,并考虑风电不确定性给系统运行带来的影响,提出了计及碳捕集和旋转备用容量配置的低碳优化运行方法。首先,对综合灵活运行碳捕集电厂的运行机理和备用原理进行分析。其次,考虑风电与负荷预测误差引起系统运行风险,使用条件风险价值(conditional value-at-risk,CVaR)度量优化运行过程中的风险,以系统各项运行成本最优为目的,建立所提方法的低碳优化调度模型。最后,使用拉丁超立方采样以及场景缩减方法将随机性问题进行确定化处理,以IEEE 39节点系统为例进行分析,验证了碳捕集电厂能够降低CO₂排放和为系统提供旋转备用容量,同时也为调度决策人员提供更多的选择方案,使系统的低碳性、稳健性与经济性得到提升。

关键词: 风电消纳, 碳捕集, 旋转备用容量, 运行风险, 低碳优化调度

Abstract:

This paper proposes a low-carbon optimization methodology that considers carbon capture and rotating standby capacity allocation to reduce the carbon emissions of power systems, promote grid connection and consumption of large-scale wind power, and study the impact of wind power uncertainty on system operation. First, the operating mechanism and standby principle of the integrated flexible operation of a carbon capture plant are analyzed. Second, the system operation risk caused by wind power and load forecast error is considered, and the risk during the optimization process is measured using the conditional value-at-risk (CVaR), and a low-carbon optimal dispatch model of the proposed methodology is established to optimize the operation cost of the system. Finally, the stochastic problem in this paper is determined using Latin hypercubic sampling and scenario reduction. The IEEE 39-node system is analyzed as an example, which verifies that the carbon capture plant can reduce CO₂ emissions and provide rotating standby capacity for the system. Additionally, it provides more options for the scheduling decision-makers to improve the low-carbon optimization, robustness, and economy of the system.

Key words: wind power consumption, carbon capture, rotating reserve capacity, operational risk, low-carbon optimal scheduling

中图分类号:

TM73

寇洋, 武家辉, 江欢, 张华, 杨健. 计及碳捕集和旋转备用配置的低碳优化运行[J]. 电力建设, 2024, 45(1): 102-111.

KOU Yang, WU Jiahui, JIANG Huan, ZHANG Hua, YANG Jian. Low Carbon Optimized Operation Considering Carbon Capture and Spinning Reserve Capacity[J]. ELECTRIC POWER CONSTRUCTION, 2024, 45(1): 102-111.

图/表 12

图1 综合灵活运行碳捕集系统

Fig.1 Comprehensive and flexible operation of carbon capture system

图2 碳捕集电厂能量流

Fig.2 Energy flow of carbon capture power plant

图3 两种不同电厂备用原理

Fig.3 Two different plant backup principles

图4 优化调度模型求解流程

Fig.4 Optimize the solving process of scheduling model

图5 风电与负荷预测值

Fig.5 Forecast value of wind power and load

图6 风电出力场景

Fig.6 Wind power output scenario

表1 三种场景经济运行指标

Table 1 Three-scenario scheduling operation cost

图7 不同风电渗透率对系统旋转备用的影响

Fig.7 Impact of different wind penetration rates on system rotating standby

图8 旋转备用容量对比分析

Fig.8 Rotary reserve capacity pair analysis

图9 两种场景的碳捕集能耗对比

Fig.9 Comparison of carbon capture energy consumption in two scenarios

图10 溶液存储器流量变化

Fig.10 Flow change of solution storage

表2 不同风险偏好系数下的经济运行指标

Table 2 Economic operation indicators under different line preference coefficients

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计及碳捕集和旋转备用配置的低碳优化运行

Low Carbon Optimized Operation Considering Carbon Capture and Spinning Reserve Capacity

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