Research on Support Mechanism of Photovoltaic Cluster Ancillary Service Modes for System Electro-Carbon Operational Efficiency

CUI Yong; CAI Changchun; NI Shenxin; XU Kun; PANG Hao; HE Wenlong

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Research on Support Mechanism of Photovoltaic Cluster Ancillary Service Modes for System Electro-Carbon Operational Efficiency

更新时间：2026-07-20

- Research on Support Mechanism of Photovoltaic Cluster Ancillary Service Modes for System Electro-Carbon Operational Efficiency
- Power Generation Technology Pages: 1-10(2026)
- 作者机构：
  
  1.安徽科技工程大学经济与管理学院，安徽省蚌埠市 233030
  2.江苏省输配电装备技术重点实验室(河海大学)，江苏省常州市 213200
  3.安徽科技工程大学电气与电子工程学院，安徽省蚌埠市 233030
  4.安徽乾坤电力工程有限公司，安徽省合肥市 231582
- 作者简介：
- 基金信息：
  
  the University Synergy Innovation Progarm of Anhui Province(GXXT-2023-065)
- DOI：
  CLC： TK 76
- Received：13 April 2026，
  
  Revised：2026-06-03，
  
  Online First：20 July 2026，
- 稿件说明：
移动端阅览
崔勇,蔡昌春,倪申鑫等.光伏发电集群辅助服务模式对系统电碳运营效率支撑机制研究[J].发电技术,

CUI Yong,CAI Changchun,NI Shenxin,et al.Research on Support Mechanism of Photovoltaic Cluster Ancillary Service Modes for System Electro-Carbon Operational Efficiency[J].Power Generation Technology,
崔勇,蔡昌春,倪申鑫等.光伏发电集群辅助服务模式对系统电碳运营效率支撑机制研究[J].发电技术, DOI：10.12096/j.2096-4528.pgt.01.

CUI Yong,CAI Changchun,NI Shenxin,et al.Research on Support Mechanism of Photovoltaic Cluster Ancillary Service Modes for System Electro-Carbon Operational Efficiency[J].Power Generation Technology, DOI：10.12096/j.2096-4528.pgt.01.

摘要

目的

在新型电力系统发展背景下，设计了考虑光伏发电集群辅助服务(cluster ancillary services，CAS)的系统效率测度框架，旨在阐明CAS对系统电碳运营效率支撑机制。

方法

基于电网碳流理论，提出CAS模式下的系统碳流计算及融合碳流指标的集群划分方法；构建以光伏发电功率为生产投入指标，电气量和碳流量为产出指标的效率评估模型，以分析系统多维指标之间耦合作用机制，并在改进的IEEE 14节点系统进行仿真验证。

结果

CAS可优化系统电碳指标，全时段线损率为4.220%~4.955%，最大电压偏差为6.000%~6.200%，系统峰谷时段频率偏差控制在±0.080 Hz以内，碳排放因子下降约16.500%，节点碳势均值波动减小。

结论

CAS可改善系统电碳关键指标，降低系统线损率、电压偏差与频率偏差，减小系统碳排放因子及节点碳势均值波动，有助于提升系统节能减碳效果。研究结果可为新型电力系统低碳运营优化策略制定、新能源辅助服务资源配置提供参考。

Abstract

Objectives

Under the background of the development of new power systems

a system efficiency measurement framework considering photovoltaic cluster ancillary services (CAS) is designed to clarify the support mechanism of CAS on the system electricity-carbon operational efficiency.

Methods

Based on the power grid carbon flow theory

a system carbon flow calculation method under the CAS mode and a cluster classification approach integrating carbon flow indicators are proposed. An efficiency evaluation model is developed with photovoltaic power output as the input indicator and electrical quantities and carbon flow as the output indicators

to analyze the coupling mechanism among multi-dimensional indicators of the system

and simulation verification is carried out on the improved IEEE 14-bus system.

Results

CAS can optimize the system electricity-carbon indicators. The all-time line loss rate is 4.220%-4.955%

the maximum voltage deviation is 6.000%-6.200%

the frequency deviation during peak and valley periods of the system is controlled within ±0.080 Hz

the carbon emission factor is reduced by about 16.500%

and the average node carbon potential fluctuation is reduced.

Conclusions

CAS can improve key system electro-carbon indicators

reduce the system line loss rate

voltage deviation

and frequency deviation

lower the carbon emission factor and the average node carbon potential fluctuation

thus improving the energy-saving and carbon-reduction effect of the system. The findings can provide references for the formulation of low-carbon operation optimization strategies of new power systems and the allocation of new energy ancillary service resources.

关键词

Keywords

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