计及碳抵消-碳交易下天然气管网压力能发电的IES低碳经济优化调度

doi:10.12204/j.issn.1000-7229.2023.06.005

电力建设 ›› 2023, Vol. 44 ›› Issue (6): 41-52.doi: 10.12204/j.issn.1000-7229.2023.06.005

• 支撑碳达峰、碳中和的能源电力技术、经济和政策·栏目主持赵俊华副教授、邱靖博士、文福拴教授· • 上一篇下一篇

计及碳抵消-碳交易下天然气管网压力能发电的IES低碳经济优化调度

邱彬¹(), 姚铭承¹(), 王凯²(), 刘宏志¹(), 慕会宾¹(), 张志超¹()

1.辽宁工程技术大学电气与控制工程学院,辽宁省葫芦岛市 125105
2.国网辽宁省电力有限公司葫芦岛供电公司,辽宁省葫芦岛市 125000

收稿日期:2022-08-10 出版日期:2023-06-01 发布日期:2023-05-25
作者简介:邱彬(1978),女,硕士,副教授,研究方向为智能电网理论与技术、控制工程,E-mail:13591999885@163.com;
姚铭承(1998),男,硕士研究生,研究方向为综合能源网优化调度,E-mail:1060814793@qq.com;
王凯(1976),男,硕士,高级工程师,研究方向为智能电网技术,E-mail:28935200@qq.com;
刘宏志(1977),男,博士,讲师,主要研究方向为知识图谱在电力大数据中的应用、智能检测与信息处理、先进控制理论及其应用,E-mail:19048851@qq.com;
慕会宾(1996),男,硕士研究生,研究方向为综合能源网优化调度,E-mail:1147810970@qq.com;
张志超(1997),男,硕士研究生,研究方向为综合能源系统优化运行、电力系统及其自动化,E-mail:zzcol@qq.com。
基金资助:
辽宁省教育厅科学研究经费项目(面上项目)(LJKZ0353)

IES Low-Carbon Economic Optimal Dispatch of Pressure-Energy Generation in Natural Gas Pipeline Network Considering Carbon Offset and Carbon Trading

QIU Bin¹(), YAO Mingcheng¹(), WANG Kai²(), LIU Hongzhi¹(), MU Huibin¹(), ZHANG Zhichao¹()

1. College of Electrical and Control Engineering, Liaoning University of Engineering Science, Huludao 125105, Liaoning Province,China
2. Huludao Power Supply Company of State Grid Liaoning Electric Power Co., Ltd., Huludao 125000, Liaoning Province,China

Received:2022-08-10 Online:2023-06-01 Published:2023-05-25
Supported by:
Scientific Research Funding Project of Liaoning Provincial Department of Education (General Project)(LJKZ0353)

摘要/Abstract

摘要：

为控制能源消耗产生的碳排放,响应实现碳达峰、碳中和目标,提出计及碳抵消的阶梯式碳交易机制。考虑天然气管网压力能发电所具有的经济效益和环境效益,根据电、热、气多种能源互补特性及能源梯级利用原则,构建电-热-气联供的综合能源系统低碳经济优化调度模型,并进行算例分析。首先,建立包含碳抵消的碳交易机制,将环境成本纳入系统经济优化目标中。根据?分析法建立天然气管网压力能发电模型,结合系统中其他机组出力模型及能量传输网络模型,确定相关约束条件。以最优系统运行成本和最低碳排放量为目标,构建综合能源系统整体框架,依据算例进行低碳经济优化调度,实现降低系统运行成本,减少能源消耗碳排放量,并避免电力负荷波动对上游电网产生不利影响。

关键词: 碳抵消, 碳交易, 压力能发电, 综合能源系统, 低碳经济优化调度

Abstract:

To control carbon emissions due to energy consumption and to achieve the objectives of carbon peaking and carbon neutrality, a step-by-step carbon-trading mechanism is proposed that considers carbon offsets. Additionally, the economic and environmental benefits of using natural gas pipelines to generate electricity were considered based on the complementary characteristics of multiple energy sources, such as electricity, heat, and gas, and the principle of energy cascade utilization. A low-carbon economic optimization scheduling model was developed for an integrated energy system of electricity-heat-gas cogeneration, and a case study was performed. First, a carbon-trading mechanism that included carbon offset was established, with the environmental cost incorporated into the system economic optimization target. Subsequently, a power generation model utilizing the pressure of natural gas pipelines was developed using the exergy analysis method, while relevant constraints were determined by combining other unit output and energy transmission network models within the system. The aim of minimizing the operating cost of the system and reducing carbon emissions was achieved by developing an overall framework for the integrated energy system, and low-carbon economic optimization scheduling was conducted based on the case study. This approach reduces the operating cost of the system, energy consumption, and carbon emissions. Furthermore, it prevents the adverse effects on the upstream power grid caused by the fluctuations in power demand.

Key words: carbon offset, carbon trading, pressure energy generation, integrated energy system, optimal dispatching of low-carbon economy

中图分类号:

TM743

邱彬, 姚铭承, 王凯, 刘宏志, 慕会宾, 张志超. 计及碳抵消-碳交易下天然气管网压力能发电的IES低碳经济优化调度[J]. 电力建设, 2023, 44(6): 41-52.

QIU Bin, YAO Mingcheng, WANG Kai, LIU Hongzhi, MU Huibin, ZHANG Zhichao. IES Low-Carbon Economic Optimal Dispatch of Pressure-Energy Generation in Natural Gas Pipeline Network Considering Carbon Offset and Carbon Trading[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(6): 41-52.

图/表 14

图1 含压力能发电的IES架构

Fig.1 IES structure of power generation with pressure energy

图2 ORC余热发电系统原理图

Fig.2 Schematic diagram of ORC waste heat power generation system

图3 IES系统结构图

Fig.3 The structure diagram of IES system

图4 电负荷与分时电价

Fig.4 Electric load and time-of-use electricity price

图5 天然气负荷与热负荷

Fig.5 Natural gas load and heat load

表1 不同场景下IES日运行费用

Table 1 Daily running cost of IES in different scenarios

图6 不同场景下各时段购电量

Fig.6 Power consumption in different scenarios in different periods

图7 场景1系统各机组出力及购电情况

Fig.7 Output and power purchase of each unit of the system in scenario 1

图8 场景2系统各机组出力及购电情况

Fig.8 Output and power purchase of each unit of the system in scenario 2

图9 场景3系统各机组出力及购电情况

Fig.9 Output and power purchase of each unit of the system in scenario 3

图10 场景3系统各机组热出力情况

Fig.10 Thermal output of each unit of the system in scenario 3

表B1 系统算例参数

Table B1 System example parameters

表B2 8节点天然气网络参数

Table B2 Parameters of 8 nodes natural gas network

表B3 7节点供热网络参数

Table B3 Parameters of 7 nodes heating network

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计及碳抵消-碳交易下天然气管网压力能发电的IES低碳经济优化调度

IES Low-Carbon Economic Optimal Dispatch of Pressure-Energy Generation in Natural Gas Pipeline Network Considering Carbon Offset and Carbon Trading

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