摘要
针对用户日益迫切的保供电需求以及光伏出力与负荷用电的随机性、波动性引发的电能质量的问题,建立了考虑保供电需求的光储微电网双层优化模型,并对规划配置的微电网电能质量进行评估。该模型以等效净负荷标准差和弃光率最小为上层优化目标,以微电网有功功率损耗最小为下层优化目标,以储能满足保供电负荷的保供电需求作为附加约束条件,采用遗传算法求解。然后设计源、网、荷三类指标,采用组合赋权法确定各指标权重,实现对微电网电能质量的综合评估。最后以改进的IEEE-33系统验证了所提模型的有效性。结果表明考虑保供电需求后能够提高微电网电能质量,并在一定范围内保供电负荷越大时越能提高微电网电能质量和用户满意度。
Aiming at the increasingly urgent power supply demand of users and the power quality problem caused by the randomness and volatility of photovoltaic output and load power consumption,a bi-level optimization model of photovoltaic-storage microgrid considering power supply demand is established,and the power quality of the planned microgrid is evaluated.The model takes the minimum standard deviation of equivalent net load and abandonment photovoltaic rate as the upper optimization objective,and the minimum active power loss of microgrid as the lower optimization objective.The energy storage is used to meet the power demand of the guaranteed power supply load as an additional constraint condition,and the genetic algorithm is used to solve the model.Then,the source side,load side and grid side indexes are designed,using the combination weighting method to determine the weight of each evaluation index to achieve the comprehensive evaluation of microgrid power quality.Finally,the effectiveness of the proposed model is verified by the improved IEEE-33 system.The results show that the power quality of microgrid can be improved after considering the power supply demand,and within a certain range,the larger the power supply load,the better the power quality and user satisfaction of the microgrid.
作者
欧阳森
辛曦
王凤学
曹华珍
OUYANG Sen;XIN Xi;WANG Fengxue;CAO Huazhen(School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China;Grid Planning&Research Center,Guangdong Power Grid Co.,Ltd.,Guangzhou 510030,China)
出处
《南方电网技术》
CSCD
北大核心
2024年第4期106-119,151,共15页
Southern Power System Technology
基金
国家自然科学基金资助项目(52177085)。
关键词
保供电需求
光储微电网
双层优化
电能质量
组合赋权法
综合评估
power supply demand
photovoltaic-storage microgrid
bi-level optimization
power quality
combination weighting method
comprehensive evaluation
