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新能源高渗透率主动配电网调压降损优化调控方法 被引量:1

Optimization Regulation Method for Adjusting Voltage to Reduce Losses in Active Distribution Network with High Penetration of Renewable Energy Sources
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摘要 针对分布式新能源高渗透率并网后,配电系统有功潮流、电压分布将发生较大变化,进而影响系统运行效率的问题,提出了一种主动配电网调压降损优化调控方法,增强调控决策对间歇性新能源预测误差的适应性。在采用变时间窗滚动优化策略时,为提高其决策结果的稳定性,采用数值优化算法,以降低网损和设备寿命折损为目标,考虑设备逐级调节约束和分组化投切约束,建立基于连续变量的非线性规划问题模型。模型中挖掘了负荷侧功率-电压响应潜力,并计及其满意度约束,实现基于电压调控的有功、无功协调控制。数值试验结果表明,所提出的方法可以有效降低配电网运行的综合成本,提升系统调控决策对新能源预测误差的适应性。 As the distributed renewable energy sources connect to the grid with high penetration,the power flow and voltage distribution of the distribution system will change greatly,which will affect the safety and efficiency of the system. To solve this problem,an optimization regulation method for adjusting voltage to reduce power losses in active distribution network is proposed in this paper. A rolling window strategy is implemented to enhance the adaptability of control decisions to the intermittent renewable energy sources’ prediction errors. To stabilize the result in rolling optimization,the numerical optimization algorithm is adopted. To minimizing the power losses cost and equipment life cost,a model of nonlinear programming problem based on continuous variables is established,considering the step constraint and grouping constraint of the equipment. Besides,the power-voltage response potential of load side is excavated,where its satisfaction constraint is considered,to achieve active and reactive coordinated control based on voltage regulation. Numerical experiments show that the proposed method can effectively reduce the operation loss of the distribution network,and enhance the adaptability of the system control decisions to renewable energy sources’ prediction errors.
作者 张晓峰 ZHANG Xiaofeng(Hangzhou Power Supply Company of State Grid,Hangzhou 310006,China)
出处 《供用电》 2018年第10期25-30,共6页 Distribution & Utilization
基金 国家重点研发计划资助项目(2017YFB0903100)~~
关键词 滚动优化 调压降损 需求侧响应 主动配电网 rolling optimization adjust voltage to reduce losses demand response active distribution network
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