EN考虑储能动态特性的虚拟电厂多指标融合可靠性评估方法
Multi index fusion reliability evaluation method for virtual power plants considering the dynamic characteristics of energy storage
- 中国电力 2026年59卷第1期 页码：33-43
- 作者机构：
1. 国网浙江省电力有限公司,浙江,杭州,310016
2. 国网浙江省电力有限公司营销服务中心,浙江,杭州,310016
3. 河海大学 电气与动力工程学院,江苏,南京,211100
- 作者简介：
- 基金信息：国网浙江省电力有限公司科技项目（B311YF24000W）。
DOI：10.11930/j.issn.1004-9649.202505077
中图分类号：-
网络出版：2026-01-13，
纸质出版：2026-01-13
- 稿件说明：
移动端阅览
王辉东, 倪琳娜, 芦鹏飞, 程颖, 吴英俊. 考虑储能动态特性的虚拟电厂多指标融合可靠性评估方法[J]. 中国电力, 2026, 59(1): 33-43.
王辉东, 倪琳娜, 芦鹏飞, et al. Multi index fusion reliability evaluation method for virtual power plants considering the dynamic characteristics of energy storage[J]. 2026, 59(1): 33-43.
王辉东, 倪琳娜, 芦鹏飞, 程颖, 吴英俊. 考虑储能动态特性的虚拟电厂多指标融合可靠性评估方法[J]. 中国电力, 2026, 59(1): 33-43. DOI： 10.11930/j.issn.1004-9649.202505077.
王辉东, 倪琳娜, 芦鹏飞, et al. Multi index fusion reliability evaluation method for virtual power plants considering the dynamic characteristics of energy storage[J]. 2026, 59(1): 33-43. DOI： 10.11930/j.issn.1004-9649.202505077.
摘要
虚拟电厂（virtual power plant，VPP）作为聚合“源-储-荷”多元资源的核心枢纽，其可靠性评估对电力系统稳定运行与可再生能源消纳至关重要。当前评估方法存在两点局限：1）采用静态储能模型，难以反映设备动态特性；2）评估指标无法量化供电过程中的功率输出稳定性。为此，提出一种考虑储能动态特性的虚拟电厂多指标融合可靠性评估方法。首先，基于储能设备在充放电过程中的容量衰减与效率退化特性，构建动态储能模型；其次，整合风电、光伏、可调负荷及电网交易等多元能源，构建体现“源-储-荷”协同运行的虚拟电厂模型；最后，围绕供电稳定性与可再生能源消纳效率，提出平均输出功率稳定性（mean VPP export，MVPPE）和可再生能源未利用量（expected renewable energy not used，ERENU）指标，融合传统电力不足概率、期望缺供电量，建立考虑储能动态特性的虚拟电厂可靠性评估体系。仿真结果表明，该方法较传统静态储能模型可使MVPPE提升14.5%、ERENU降低88.7%，能更真实反映虚拟电厂的可靠性水平，为其规划、运行与优化提供科学依据。
Abstract
As a core hub for aggregating multi-source "generation-storage-load" resources
the reliability assessment of Virtual Power Plants (VPPs) is crucial for the stable operation of power systems and the absorption of renewable energy. Current assessment methods have two limitations: first
they adopt static energy storage models
which struggle to reflect the dynamic characteristics of devices; second
the evaluation indicators fail to quantify the power output stability during the power supply process. To address this
a multi-indicator integrated reliability assessment method for virtual power plants considering the dynamic characteristics of energy storage is proposed. Firstly
a dynamic energy storage model is constructed based on the capacity degradation and efficiency deterioration characteristics of energy storage devices during charging and discharging processes. Secondly
multiple energy sources such as wind power
photovoltaic power
adjustable loads
and grid transactions are integrated to build a virtual power plant model that reflects the collaborative operation of "generation-storage-load". Finally
focusing on power supply stability and renewable energy absorption efficiency
two indicators—Mean VPP Export Power Stability (MVPPE) and Expected Renewable Energy Not Used (ERENU)—are proposed. Combined with traditional indicators including Loss of Load Probability (LOLP) and Expected Energy Not Supplied (EENS)
a reliability assessment system for virtual power plants considering the dynamic characteristics of energy storage is established. Simulation results show that compared with the traditional static energy storage model
this method increases MVPPE by 14.5% and reduces ERENU by 88.7%
which can more truly reflect the reliability level of VPPs and provide a scientific basis for their planning
operation
and optimization.
关键词
Keywords
references
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