630 MW超临界供汽热电联产机组收益计算

doi:10.11930/j.issn.1004-9649.202505035

中国电力 ›› 2026, Vol. 59 ›› Issue (1): 76-83.DOI: 10.11930/j.issn.1004-9649.202505035

• 能源电力数据要素与人工智能应用 • 上一篇下一篇

630 MW超临界供汽热电联产机组收益计算

丁一¹^,²(), 王春亮³(), 席跃伟², 胡文燕⁴, 杨志平⁴(), 郭喜燕⁴

1. 清华大学能源与动力工程系，北京　100084
2. 国投钦州第二发电有限公司，广西钦州　535000
3. 国投钦州发电有限公司，广西钦州　535000
4. 华北电力大学国家火力发电工程技术研究中心，北京　102206

收稿日期:2025-05-19 修回日期:2025-12-02 发布日期:2026-01-13 出版日期:2026-01-28
作者简介:
丁一（1991），男，硕士，高级工程师，从事火电机组生产技术管理研究，E-mail：dingyi@sdic.com.com
王春亮（1979），男，本科，高级工程师，从事火电机组能效提升技术研究，E-mail：wangchunliang@sdic.com.cn
杨志平（1968），男，通信作者，博士，高级工程师（教授级），从事火电机组热电联产系统节能优化研究，E-mail：yzprr@163.com
基金资助:
国家自然科学基金创新研究群体科学基金资助项目（51821004）。

Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit

DING Yi¹^,²(), WANG Chunliang³(), XI Yuewei², HU Wenyan⁴, YANG Zhiping⁴(), GUO Xiyan⁴

1. Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
2. SDIC Qinzhou No.2 Power Generation Co., Ltd., Qinzhou 535000, China
3. SDIC Qinzhou Power Generation Co., Ltd., Qinzhou 535000, China
4. National Engineering Research Center for Thermal Power Generation, North China Electric Power University, Beijing 102206, China

Received:2025-05-19 Revised:2025-12-02 Online:2026-01-13 Published:2026-01-28
Supported by:
This work is supported by the Funds for Creative Research Groups of the National Natural Science Foundation of China (No.51821004).

摘要/Abstract

摘要：

针对630 MW超临界热电联产机组工业抽汽供热效益开展研究。结合电力现货市场，提出耦合电力市场价格的供热收益分析框架。采用补偿发电功率损失法，建立供热收益计算模型，综合考虑蒸汽销售收益、发电功率损失、补水成本及供热固定资产折旧等因素，引入电价敏感性分析以适配现货市场波动特性。通过EBSILON软件建模验证（误差＜1%），分析了不同抽汽量（97.2~561.6 t/h）下供热收益的变化规律。研究结果表明，在电力市场化环境下，供热经济性呈现动态响应特征，主蒸汽流量、抽汽量、电价波动和热价政策构成4维影响因素体系。现货市场典型场景分析表明，当日前市场出清价超过0.4283元/(kW·h)时，机组应优先切换至纯凝模式；实时市场低电价时段可提升供热负荷至1950 t/h主蒸汽流量工况，此时单位供热收益可达35.80元/t蒸汽。敏感性分析揭示了价格传导机制的非对称性，研究提出的模型为现货市场环境下热电联产机组参与日前―实时竞价、制定热―电联动物价策略提供了量化决策工具。

关键词: 超临界机组, 补偿发电功率损失, 供汽收益, 现货市场

Abstract:

This study investigates the industrial steam extraction heating benefits of 630 MW supercritical combined heat and power (CHP) units. Combined with the electricity spot market, it proposes a heating benefit analysis framework coupled with electricity market prices. Using the power generation loss compensation method, a heating revenue calculation model is established that comprehensively considers steam sales revenue, power generation loss, makeup water cost, and fixed asset depreciation of heating systems. Electricity price sensitivity analysis is introduced to accommodate spot market volatility. Validated through EBSILON software modeling (error ＜ 1%), the study analyzes the heating revenue patterns under different extraction steam flows (97.2~561.6 t/h). The results demonstrate that the heating economics exhibit dynamic response characteristics in electricity market environments, with main steam flow, extraction steam flow, electricity price fluctuations, and thermal pricing policies forming a four-dimensional influencing factor system. Analysis of typical spot market scenarios indicates that when day-ahead market clearing prices exceed 0.4283 CNY/(kW·h), the units shall prioritize switching to pure condensation mode. During low-price periods in real-time markets, heating load can be increased up to 1950 t/h main steam flow conditions, achieving unit heating revenue of 35.80 CNY/t-steam. Sensitivity analysis reveals asymmetric price transmission mechanisms. The proposed model provides a quantitative decision-making tool for CHP units participating in day-ahead and real-time bidding and formulating heat-electricity coordinated pricing strategies in spot market environments.

Key words: supercritical units, power generation loss compensation, steam supply revenue, spot market

丁一, 王春亮, 席跃伟, 胡文燕, 杨志平, 郭喜燕. 630 MW超临界供汽热电联产机组收益计算[J]. 中国电力, 2026, 59(1): 76-83.

DING Yi, WANG Chunliang, XI Yuewei, HU Wenyan, YANG Zhiping, GUO Xiyan. Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit[J]. Electric Power, 2026, 59(1): 76-83.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202505035

https://www.electricpower.com.cn/CN/Y2026/V59/I1/76

图/表 9

图 1 机组厂内供热系统

Fig.1 The heating system in the power plant

表 1 电厂供热项目基础经济参数

Table 1 Basic economic parameters of power plant heating system

名称/单位	数值
供热改造投资成本/亿元	0.8375
运行年限/年	30
供热价格/(元·t^–1)	140
上网电价/(元·(kW·h)^–1)	0.3283
除盐水成本/(元·t^–1)	8
年供热时间/h	8760

图 2 机组最大供热工况热力系统EBSILON简化模型

Fig.2 Simplified EBSILON model of the thermal system under the unit's maximum heating condition

表 2 机组设计值与模拟计算值误差

Table 2 Errors between the design value and the simulated value of the unit

供汽量/(t·h^–1)	功率设计值/kW	功率模拟值/kW	相对误差/%
250	504514	506994	0.49
400	445974	448276	0.52
560	451572	450758	0.18

表 3 抽汽量100 t/h不同工况参数的变化

Table 3 Changes in parameters under different operating conditions with an extraction steam flow of 100 t/h

名称/单位	工况1	工况2	工况3	工况4	工况5
主蒸汽流量/(t·h^–1)	1461	1580	1661	1824	1950
主蒸汽温度/℃	566	566	566	566	566
热再蒸汽压力/MPa	4.25	4.25	4.25	4.25	4.25
热再蒸汽温度/℃	566	566	566	566	566
热再蒸汽流量/(t·h^–1)	1228.53	1331.31	1401.24	1541.93	1643.00
减温水温度/℃	174.59	178.37	180.80	185.40	188.47
减温水流量/(t·h^–1)	7.94	7.99	8.02	8.08	8.16
供汽温度/℃	475	475	475	475	475
供汽压力/MPa	4.25	4.25	4.25	4.25	4.25
供汽流量/(t·h^–1)	107.94	107.99	108.02	108.08	108.16
纯凝工况电功率/MW	510.54	547.54	572.35	620.28	654.91
供热工况电功率/MW	453.99	497.55	527.58	588.14	627.39

图 3 不同工况下供热收益的变化

Fig.3 Changes in heating revenue under different operating conditions

图 4 现货市场不同电价场景下供热收益的变化

Fig.4 Changes in heating revenue under different electricity price scenarios in the spot market

表 4 现货市场价格―负荷响应策略矩阵

Table 4 Spot market price-load response strategy matrix

电价区间/(元·(kW·h)^–1)	推荐抽汽量/(t·h^–1)	响应时间要求/min
＜0.3783	350~410	＜30 min
0.3783~0.4283	200~300	＜15 min
＞0.4283	＜97.2	即时切换

图 5 不同供热价格下供热收益的变化

Fig.5 Changes in heating revenue under different heat prices

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630 MW超临界供汽热电联产机组收益计算

Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit

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630 MW超临界供汽热电联产机组收益计算

Revenue calculation for 630 MW supercritical steam-supply combined heat and power unit

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