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基于场景构建技术的区域微能源网群的分层协调优化方法

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考虑区域微能源网中风、光出力与负荷功率的不确定性,提出一种针对新能源消纳的区域微能源网分层协调优化方法.首先,考虑相关性引入正态Copula函数建立各随机变量联合分布关系,并计及预测误差,建立不确定性典型场景.然后,考虑弃风弃光的损失,以微能源网运行成本最小为目标建立分层协调优化模型.该模型的上层为微能源网群灵活性资源的协调消纳优化,下层为微能源网内部的消纳优化.采用基于目标级联分析的分层优化方法迭代求解,得到区域微能源网分层协调优化策略.最后,以某实例微能源网群为例进行验证,表明所提方法提高了区域电网的新能源消纳率.
HIERARCHICAL COORDINATION OPTIMIZATION METHOD OF REGIONAL MICRO-ENERGY-GRID GROUP BASED ON SCENARIO CONSTRUCTION TECHNOLOGY
Considering the uncertainty of wind stroke,light output,and load power in regional micro energy networks,a hierarchical coordination optimization method for new energy consumption in regional micro energy networks is proposed.Introduce a normal Copula function to establish joint distribution relationships between time and conditional correlations of various random variables,thereby establishing typical scenarios of uncertainty.After considering the losses and prediction error costs of wind and light abandonment,a hierarchical coordinated optimization model is established with the goal of minimizing the operating cost of the micro energy network.The upper layer of this model is the coordination and consumption optimization of flexible resources in the micro energy network group,while the lower layer is the internal consumption optimization of the micro energy network.Using a hierarchical optimization method based on objective cascading analysis to iteratively solve,a hierarchical coordination optimization strategy for regional micro energy networks is obtained.Finally,an example of a micro energy grid group was used for validation,indicating that the proposed method improves the new energy consumption rate of the regional power grid.

micro-energy-networknew energyconsumptionhierarchical coordination optimization

陈志永、丁孝华、韩璟琳、韩韬、冯喜春、侯若松、李洪涛

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国网河北省电力有限公司经济技术研究院,石家庄 050081

国网电力科学研究院有限公司,南京 211106

国网河北省电力有限公司,石家庄 050031

微能源网 新能源 消纳 分层协调优化

国家电网科技项目

5100-202113564A-0-5-SF

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(5)
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