首页|面向风光储系统的多时空尺度容量置信度评估方法

面向风光储系统的多时空尺度容量置信度评估方法

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随着新能源逐渐成为主体电源并且通过跨省跨区互济,广域新能源系统供电能力刻画对保障电力系统可靠供应具有重要意义.储能可有效平抑新能源波动性,从而有效提升其供电能力,容量置信度是刻画新能源-储能系统供电能力的重要指标.因此,首先提出了面向跨省跨区风光储系统的多时空尺度容量置信度评估指标体系和计算方法,将容量置信度评估周期拓展到短期运行态、中期运行态和规划态等多时间尺度,以更好地支撑关键场景下的电力系统保供电需求;并研究了面向风光场站、省级电网、跨区电网等多空间尺度的容量置信度评估方法,从而支撑广域风光储系统的供电能力刻画.此外,从时间和空间 2 个维度提出了将运行模拟加速算法用于广域风光储系统容量置信度评估.结合RTS-GMLC跨区算例验证了所提评估方法的有效性,研究结果表明:净负荷高峰关键场景对新能源储能系统的容量置信度影响较大,通过广域源荷互补和储能接入可有效提升新能源系统的容量置信度.
Multi-temporal-spatial Scale Capacity Credit Assessment Method for Wind-photovoltaic-storage Systems
The renewable energy is gradually transited into the main power supply and inter-provincial and inter-regional power exchange,thus characterizing the power supply capability of wide-area renewable energy systems is of significant importance for ensuring reliable power supply.Energy storage can effectively mitigate the volatility of renewable and en-hance their power supply capability.Capacity credit(CC)serves as a crucial index for characterizing power supply capability of renewable and storage.Therefore,this paper proposes a multi-temporal and multi-spatial CC evaluation framework and calculation method for inter-provincial and inter-regional wind-photovoltaic-storage systems.The CC evaluation is extended to short-term operational,medium-term operational,and planning time scales,so as to better sup-port the power supply requirements in key scenarios.Furthermore,the proposed method is investigated for wind-photovoltaic farms,provincial grids,and inter-regional grids,enabling the characterization of power supply capabil-ity for multi-area wind-photovoltaic-storage.Additionally,an accelerating simulation algorithm considering temporal and spatial dimensions for CC assessment is proposed to enhance calculation efficiency in such systems.Case studies on the RTS-GMLC system verify the validation and efficiency of the proposed method.The results indicate that key scenarios with peak hours have a significant impact on the CC of renewable and storage systems,and the multi-area complementa-rity and storage integration can effectively enhance the CC of renewable energy.

multiple temporal-spatial scalescapacity creditwind-photovoltaic-storage systemsinter-provincial and inter-regionalreliability assessmentpower supply capability

王仁顺、王世龙、耿光超、江全元、刘纯、王勃

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浙江大学电气工程学院,杭州 310027

可再生能源并网全国重点实验室(中国电力科学研究院有限公司),北京 100192

多时空尺度 容量置信度 风光储系统 跨省跨区 可靠性评估 供电能力

国家重点研发计划国家电网有限公司科技项目

2022YFB2403000522722230034

2024

10.13336/j.1003-6520.hve.20240128

高电压技术
中国电力科学研究院　中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子：2.32
ISSN：1003-6520
年,卷(期)：2024.50(9)
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