基于能碳耦合模型的微能源网源荷协同优化调度研究

doi:10.11930/j.issn.1004-9649.202408095

中国电力 ›› 2025, Vol. 58 ›› Issue (4): 1-12.DOI: 10.11930/j.issn.1004-9649.202408095

• 电-碳协同下分布式能源系统运营关键技术 • 上一篇下一篇

基于能碳耦合模型的微能源网源荷协同优化调度研究

许世杰¹^,²(), 胡邦杰¹^,², 赵亮³, 王沛¹^,²()

1. 河海大学新能源学院，江苏南京　210098
2. 可再生能源发电技术教育部工程研究中心，江苏南京　210098
3. 南方电网数字电网研究院股份有限公司，广东广州　510700

收稿日期:2024-08-28 录用日期:2024-11-26 发布日期:2025-04-23 出版日期:2025-04-28
作者简介:
许世杰（2000），男，硕士研究生，从事综合能源系统低碳优化调度研究，E-mail：15295792015@163.com
王沛（1986），男，通信作者，博士，教授，从事太阳能热发电与制氢、综合能源系统低碳评价与经济运行研究，E-mail：franciswp2012@163.com
基金资助:
国家自然科学基金联合重点项目（黄河上游水氢电混合储能循环机理与优化调控，U2243243）。

Research on Optimal Dispatch with Source-Load Coordination for Micro-energy Grid Based on Energy-Carbon Coupling Model

XU Shijie¹^,²(), HU Bangjie¹^,², ZHAO Liang³, WANG Pei¹^,²()

1. School of Renewable Energy, Hohai University, Nanjing 210098, China
2. Engineering Research Center of Renewable Power Generation Technologies, Ministry of Education, Nanjing 210098, China
3. China Southern Power Grid Digital Grid Research Institute Co., Ltd., Guangzhou 510700, China

Received:2024-08-28 Accepted:2024-11-26 Online:2025-04-23 Published:2025-04-28
Supported by:
This work is supported by Joint Key Project of National Natural Science Foundation of China (Cycle Mechanism and Optimal Control of Hydro-Hydrogen-Electric Hybrid Energy Storage in the Upper Yellow River, No.U2243243).

摘要/Abstract

摘要：

目前综合能源系统低碳调度侧注重源侧减碳手段，而忽略荷侧低碳潜力以及源荷协同的降碳能力。以耦合电-热-气的微能源网为研究对象，提出基于能碳耦合模型的异质能流系统源荷协同的优化调度方法，搭建基于源荷协同过程的日前-日内两阶段优化调度框架。源侧采用可调热电比的热电联产机组耦合电制热设备供能，并考虑能源站中各机组的动态碳排特性；网侧利用碳排放流理论建立电-热两种能源的能碳耦合模型，并将获得的碳势分布传递给荷侧；荷侧依据碳信息并考虑分时能价影响，引导负荷实时调整用能行为进行低碳需求响应，并将更新后的负荷反馈给源侧重新优化各机组出力，从而实现源荷协同。通过对改进的IEEE 33节点电网和Barry岛32节点热网组成的微能源网进行算例分析，验证所提方法的有效性。

关键词: 能碳耦合模型, 微能源网, 源荷协同, 优化调度, 可调热电比, 动态碳排特性, 低碳需求响应

Abstract:

At present, the low-carbon dispatch of the integrated energy system focuses on the means of carbon reduction at the source side, while ignoring the low-carbon potential of the load side and the ability of carbon reduction for source-load coordination. Taking the micro energy grid coupled with power, heat and gas as the research object, an optimal dispatch method with source-load coordination of heterogeneous energy flow system based on energy-carbon coupling model is proposed, and a two-stage optimal dispatch framework of day-ahead and intra-day based on the process of source-load coordination is built. In the source side, the combined heat and power (CHP) units with adjustable heat-to-power ratio coupling with power-to-heat equipment are used for energy supply, and the dynamic carbon emission characteristic of each unit in the energy station is considered; In the grid side, the energy-carbon coupling model of power and heat energy is established by using the carbon emission flow theory, and the obtained distribution of carbon intensity is transferred to the load side; Based on this carbon information and considering the impact of time-sharing energy price, the load side guides the load to adjust behaviors of energy consumption in real time to respond to low-carbon demand, and feeds back the updated load to the source side to re-optimize the output of each unit, so as to realize the process of source-load coordination. The effectiveness of the proposed method is verified by analyzing the micro energy grid composed of the improved IEEE 33-node power grid and the Barry Island 32-node heat grid.

Key words: energy-carbon coupling model, micro-energy grid, source-load coordination, optimal dispatch, adjustable heat-to-power ratio, dynamic carbon emission characteristic, low-carbon demand response

许世杰, 胡邦杰, 赵亮, 王沛. 基于能碳耦合模型的微能源网源荷协同优化调度研究[J]. 中国电力, 2025, 58(4): 1-12.

XU Shijie, HU Bangjie, ZHAO Liang, WANG Pei. Research on Optimal Dispatch with Source-Load Coordination for Micro-energy Grid Based on Energy-Carbon Coupling Model[J]. Electric Power, 2025, 58(4): 1-12.

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图/表 15

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时段		$\chi _t^{{\text{power}}}$/(元·(kW·h)^–1)
22:00—次日07:00和14:00—18:00		0.34
07:00—11:00		0.64
11:00—14:00和18:00—22:00		0.97

时段		$\chi _t^{{\text{power}}}$/(元·(kW·h)^–1)
22:00—次日07:00和14:00—18:00		0.34
07:00—11:00		0.64
11:00—14:00和18:00—22:00		0.97

时段		$\chi _t^{{\text{heat}}}$/(元·(kW·h)^–1)
22:00—次日08:00和12:00—17:00		0.36
08:00—12:00和17:00—22:00		0.38

时段		$\chi _t^{{\text{heat}}}$/(元·(kW·h)^–1)
22:00—次日08:00和12:00—17:00		0.36
08:00—12:00和17:00—22:00		0.38

参数	数值	参数	数值
$G_{i,\max }^{{\text{CHP}}}$、$G_{\max }^{{\text{GB}}}$/MW	15	$y_{i,\max }^{{\text{P2H}}}$	0.3
$\mu _{i,{\text{do}}}^{{\text{CHP}}}$、$ \mu _{{\text{do}}}^{{\text{GB}}} $/%	10	$\eta _{{\text{CHP}},i,\min }^{{\text{power}}}$、$\eta _{{\text{CHP}},i,\max }^{{\text{power}}}$	0.3、0.4
$\mu _{i,{\text{up}}}^{{\text{CHP}}}$、$ \mu _{{\text{up}}}^{{\text{GB}}} $/%	10	$\eta _{{\text{CHP}},i,\min }^{{\text{heat}}}$、$\eta _{{\text{CHP}},i,\max }^{{\text{heat}}}$	0.25、0.55
${\eta _{{\text{GB}}}}$	0.9	${\eta _{{\text{HP}}}}$、${\eta _{{\text{EB}}}}$	3.0、0.95

基于能碳耦合模型的微能源网源荷协同优化调度研究

Research on Optimal Dispatch with Source-Load Coordination for Micro-energy Grid Based on Energy-Carbon Coupling Model

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图/表 15

参考文献 26

相关文章 15

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Metrics

场景	CHP热电比		CHP耦合 HP/EB	能源站机组动态碳排特性	需求响应
场景	固定	可调	CHP耦合 HP/EB	能源站机组动态碳排特性	价格	低碳
1	√	×	√	√	×	×
2	×	√	×	√	×	×
3	×	√	√	√	×	×
4	×	√	√	×	×	√
5	×	√	√	√	×	√
6	×	√	√	√	√	×
7	×	√	√	√	√	√

场景	${F_{\text{1}}}$/元	${C_{\text{G}}}$/元	${C_{{\text{WP}}}}$/元	$C_{{\text{WP}}}^{{\text{AB}}}$/元	${C_{{\text{CE}}}}$/元	${E_{\text{A}}}$/t	${F_{\text{2}}}$/元	${C_{\text{P}}}$/元	${C_{\text{M}}}$/元
1	199465.5	172431.7	3156.6	0	23877.2	164.1	209146.2	209146.2	0
2	179386.2	153641.7	3156.6	0	22587.9	156.8	209146.2	209146.2	0
3	174640.9	149643.5	3156.6	0	21840.8	151.9	209146.2	209146.2	0
4	181541.4	149981.2	3156.6	0	28403.6	192.7	208856.6	209146.2	289.6
5	174329.7	150243.4	3156.6	0	20929.7	149.5	208505.1	209146.2	641.1
6	175503.7	150212.8	3156.6	0	22134.3	152.9	203761.3	203761.3	0
7	176631.9	151604.5	3156.6	0	21870.8	152.2	203940.3	204151.9	211.6

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参数	数值	参数	数值
$ {\chi _{{\text{gas}}}} $/(元·(kW·h)^–1)	0.35	${\kappa _{{\text{gas}}}}$/%	2
${\varepsilon _{{\text{wt}}}}$、${\varepsilon _{{\text{pv}}}}$/(元·(kW·h)^–1)	0.06	${\zeta _{{\text{gas}}}}$/(t·(MW·h)^–1)	0.525
$\varepsilon _{{\text{wt}}}^{{\text{ab}}}$、$\varepsilon _{{\text{pv}}}^{{\text{ab}}}$/(元·(kW·h)^–1)	0.25	${c_{\text{p}}}$/(J·kg^–1·℃^–1)	4182
$\omega $/(元·t^–1)	300	$\delta $/(元·t^–1)	300
${\sigma _{{\text{gas}}}}$/(t·(MW·h)^–1)	0.185	${\tau _{{\text{tr}}}}$/%	10

参数	数值	参数	数值
$ {\chi _{{\text{gas}}}} $/(元·(kW·h)^–1)	0.35	${\kappa _{{\text{gas}}}}$/%	2
${\varepsilon _{{\text{wt}}}}$、${\varepsilon _{{\text{pv}}}}$/(元·(kW·h)^–1)	0.06	${\zeta _{{\text{gas}}}}$/(t·(MW·h)^–1)	0.525
$\varepsilon _{{\text{wt}}}^{{\text{ab}}}$、$\varepsilon _{{\text{pv}}}^{{\text{ab}}}$/(元·(kW·h)^–1)	0.25	${c_{\text{p}}}$/(J·kg^–1·℃^–1)	4182
$\omega $/(元·t^–1)	300	$\delta $/(元·t^–1)	300
${\sigma _{{\text{gas}}}}$/(t·(MW·h)^–1)	0.185	${\tau _{{\text{tr}}}}$/%	10

模态框（Modal）标题

基于能碳耦合模型的微能源网源荷协同优化调度研究

Research on Optimal Dispatch with Source-Load Coordination for Micro-energy Grid Based on Energy-Carbon Coupling Model

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