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基于能源消纳时空特征的分布式屋顶光伏承载力测算

Calculation of Distributed Roof Photovoltaic Bearing Capacity Based on the Spatial-Temporal Characteristics of Energy Consumption

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为解决大量分布式屋顶光伏接入电网,造成的电网消纳能力降低问题,研究了基于能源消纳时空特征的分布式屋顶光伏承载力测算方法,提升光伏承载力测算效果.通过空间滞后模型、空间误差模型、空间杜宾模型分析能源消纳时空特征的分布情况;以能源消纳时空特征、远方有载调压开关分接头挡位、光伏接入容量为决策变量,以分布式屋顶光伏承载力最大值为目标函数,以潮流约束与电压概率约束等为约束条件,构建分布式屋顶光伏最大承载力测算模型;通过自适应权重粒子群算法求解该模型,得到分布式屋顶最大承载力测算结果.实验证明:在不同置信水平下,该方法均可有效测算分布式屋顶光伏最大承载力;应用该方法后,可有效降低分布式屋顶光伏发电设备的三相不平衡度,提升电网消纳能力.
In order to solve the problem that a large number of distributed roof PV are connected to the power grid,resulting in the reduction of the grid's absorptive capacity,a calculation method of distributed roof PV carrying capacity based on the time-space characteristics of energy consumption is studied to improve the calculation effect of photovoltaic carrying capacity.The spatial lag model,spatial error model and spatial Dubin model are used to analyze the spatial and temporal distribution of energy consumption;With the time-space characteristics of energy consumption,the remote on load voltage regulating switch tap position and photovoltaic access capacity as decision variables,the maximum distributed roof photovoltaic bearing capacity as the objective function,and the power flow constraint and voltage probability constraint as the constraint conditions,a calculation model for the maximum distributed roof photovoltaic bearing capacity is constructed;Through the adaptive weight particle swarm optimization algorithm,the model is solved,and the maximum bearing capacity of the distributed roof is calculated.Experiments show that the method can effectively calculate the maximum bearing capacity of distributed roof photovoltaic under different confidence levels;This method can effectively reduce the three-phase imbalance of distributed roof photovoltaic generator and improve its absorptive capacity.

energy consumptionspatial-temporal characteristicsdistributedPV bearing capacityspatial lag modelparticle swarm

刘金森、张彦、陈露东、罗宁、符珊

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贵州电网有限责任公司 电网规划研究中心,贵阳 550000

重庆智海电力技术有限公司,重庆 400000

能源消纳 时空特征 分布式 光伏承载力 空间滞后模型 粒子群

2024

建筑节能(中英文)
中国建筑东北设计研究院有限公司

建筑节能(中英文)

CSTPCD
影响因子:0.695
ISSN:2096-9422
年,卷(期):2024.52(3)
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