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基于抽蓄协调的新能源纳入电力系统备用方法

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大规模新能源并网后,传统的备用体系制约含高比例新能源电力系统的新能源消纳能力.为此,该文提出基于抽蓄协调的新能源纳入电力系统备用方法.首先,采用改进K-均值聚类算法生成各时段新能源出力预测典型场景;然后,基于广义新能源预测偏差及弃用风险约束,确定各时段各典型场景的最佳新能源纳入备用比例系数;最后,根据各时段的新能源预测数据和抽水蓄能机组的发电支撑状态,进一步调节所对应时段新能源纳入系统备用的最佳比例系数,将新能源合理地纳入系统备用.算例结果验证所提方法能够有效提升含高比例新能源电力系统新能源消纳能力,减少新能源弃用.
STANDBY METHOD OF INTEGRATING NEW ENERGY INTO POWER SYSTEMS BASED ON PUMPED STORAGE COORDINATION
After large-scale renewable energy resources integration,the traditional reserve system restricts the renewable energy consumption capacity of power system with high proportion of renewable energy.Therefore,a method of incorporating renewable energy into standby power systems based on the coordination of pumped storage power plants is proposed.Firstly,the improved K-means clustering algorithm is used to generate typical scenarios of renewable energy output prediction in each period.Then,based on the generalized renewable energy prediction deviation risk constraint and the generalized standby power systems abandonment risk constraint,the optimal renewable energy included in the reserve ratio coefficient of each typical scenario in each period is determined.Finally,according to the renewable energy forecast data of each period and the power generation support state of the pumped storage power plants,the optimal proportion coefficient of the renewable energy into the standby power systems is further regulated,and the renewable energy is reasonably incorporated into the standby power systems.The results of the example verify that the proposed method can effectively improve the renewable energy consumption capacity of the power system with high proportion of renewable energy and reduce the abandonment of renewable energy.

new energystandby power systemspumped-hydro energy storageK-means clusteringrisk constraints

孟高军、钱聪聪、于琳琳、程昱明、贾鹏

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南京工程学院电力工程学院,南京 211167

国网河南省电力公司经济技术研究院,郑州 450052

新能源 电力系统备用 抽水蓄能 K-均值聚类 风险约束

国家自然科学基金江苏省重点研发计划

51877101BE2021094

2024

太阳能学报
中国可再生能源学会

太阳能学报

CSTPCD北大核心
影响因子:0.392
ISSN:0254-0096
年,卷(期):2024.45(10)