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考虑能量耗散的分布式风力发电并网电网容量扩充研究

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由于风力能源具有显著的不稳定性而无法可靠控制发电机组容量,导致电能发生过多损耗.以考虑能量耗散为前提,提出一种分布式风力发电并网电网容量扩充方法.根据发电能量装置的功率与容量限制,分析并网调度中风电场的工作状态,构建能量耗散计算模型;依据能量耗散模型,建立符合发电系统安全运行的约束条件,充分调度并网电网的电能,控制电网可调度空间至最小,完成电网容量扩充.实验结果表明:在耗散最小功率和电压合格功率阈值约束下,可计算出风力匹配容量范围;为风力发电提供更多电能存储空间,电压合格率接近 100%.说明所提方法可以有效控制电压变化,且能量耗散极少,具备有效性与可行性.
Research on Capacity Expansion of Distributed Wind Power Grid-Connected Grids Considering Energy Dissipation
Due to the significant instability of wind energy,the capacity of generating units cannot be reliably controlled,resulting in excessive power loss.Therefore,taking energy dissipation into account,a capacity expansion method for grid-connected distributed wind power generation is proposed in this paper.According to the power and capacity limits of the power generation energy device,the working state of the wind farm in the grid-connected dispatching is analyzed,and the energy dissipation calculation model is constructed.According to the energy dissipation model,we established the constraint conditions for the safe operation of the power generation system,fully dispatched power energy of the grid-connected power grid,and controlled the dispatching space of the power grid to the minimum to complete the expansion of the power grid capacity.The experimental results show that the range of wind matching capacity can be calculated under the constraints of minimum dissipation power and voltage qualified power threshold,providing more energy storage space for wind power generation,and the voltage qualified rate is close to 100%.All these show that the proposed method can effectively control the voltage change,and has little energy dissipation,so it is effective and feasible.

energy dissipationdistributed wind power generationgrid-connected power gridcapacity expansionelectrical power

袁天梦、宁亮、巩彦江、杨润冰、黄杰

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国网冀北电力有限公司唐山供电公司,河北 唐山 063000

国网冀北电力有限公司玉田县供电公司,河北 唐山 064100

北京清能互联科技有限公司,北京 100084

能量耗散 分布式风力发电 并网电网 容量扩充 电功率

2024

电网与清洁能源
西北电网有限公司 西安理工大学水电土木建筑研究设计院

电网与清洁能源

CSTPCD北大核心
影响因子:1.122
ISSN:1674-3814
年,卷(期):2024.40(12)