基于功能单元的高压配电网负荷转供分层优化模型
Bi-level Model Based on Functional Units for Optimizing High-level Voltage Distribution Network
作者：金勇(四川大学 电气信息学院, 四川 成都 610065;国网成都供电公司, 四川 成都 610041)；刘俊勇(四川大学 电气信息学院, 四川 成都 610065)；张曦(四川大学 电气信息学院, 四川 成都 610065)；李阳(四川大学 电气信息学院, 四川 成都 610065)；刘友波(四川大学 电气信息学院, 四川 成都 610065)；左坤雨(四川大学 电气信息学院, 四川 成都 610065)
Author：JIN Yong(School of Electrical Eng. and Info., Sichuan Univ., Chengdu 610065, China;State Grid Chengdu Electrical Power Bureau, Chengdu 610016, China)；LIU Junyong(School of Electrical Eng. and Info., Sichuan Univ., Chengdu 610065, China)；ZHANG Xi(School of Electrical Eng. and Info., Sichuan Univ., Chengdu 610065, China)；LI Yang(School of Electrical Eng. and Info., Sichuan Univ., Chengdu 610065, China)；LIU Youbo(School of Electrical Eng. and Info., Sichuan Univ., Chengdu 610065, China)；ZUO Kunyu(School of Electrical Eng. and Info., Sichuan Univ., Chengdu 610065, China)
收稿日期：2016-03-22 年卷（期）页码：2017,49(3):179-190
期刊名称：工程科学与技术
Journal Name：Advanced Engineering Sciences
关键字：高压配电网;负荷转供;功能单元;粒子群算法;模糊评价;动作序列操作序列
Key words：high-voltage distribution network (HVDN);load transfer;functional units (group);PSO;fuzzy evaluation;transfer sequence
基金项目：国家高技术研究发展计划资助项目（2014AA051901）
中文摘要
本文提出一种基于功能单元的高压配电网负荷转供分层优化模型以疏缓愈来愈复杂的城市电网阻塞，即将城市电网抽象为上层220 kV供电通道和下层110 kV功能单元组的简化模型。上层模型中，通过功能单元可达性矩阵定义“通道分配因子”引导单元组内负载在各供电通道的分配，定义“容载协调比例”协调“容”“载”间的不平衡关系，并将二者作为粒子编码，利用算法初始化通道分配因子及容载协调比例，生成网络负载预分布；下层模型中，事先枚举“有效供电路径矩阵”反映单元组内负载的实际分布，定义贴近度反映单元组内负载的实际分配与通道分配因子的贴近程度，根据上层模型生成的通道分配因子及容载协调比例，引导下层各变电单元组的实际负载及协调量向上层贴近。将上下层目标函数之和作为粒子群算法的适应度函数，即可形成上层全网有功负载预分布引导，下层功能单元组交互执行的求解策略，使负载分布逐渐趋于合理的均衡状态，并在潮流校验的前提下利用算法的迭代更新使系统负载分布逐渐趋于均衡。以离散二进制编码代表每一种操作序列，采用模糊综合评价方法评估网络从初态到终态不同过渡方案下系统的安全水平，在优化方案确定后，制定一个在连续操作下安全水平较优的操作序列，以保证每一步操作都能使电网运行在控制阈值范围内。利用某城市电网局部系统验证了方法的有效性与在线分析的适用性。
英文摘要
In order to mitigate the complex congestion problem of urban power transimission network, a load transferring strategy for high-level voltage distribution network (HVDN) with a novel bi-level programming model based on functional units (group) was presented. In the bi-level model, the upper model was designed to guide the reasonable load allocation of the system and balance the transformer capacity and load, so the channel allocation factor and load-capacity coordination were both taken as the particle coding of PSO, and then the load pre-allocation of the system was determined by the channel allocation factor and load-capacity coordination; The lower model was established to reflect the closing degree of the channel allocation factor and the actual load distribution identified by available power supply marix. Therefore, the actual load allocation and load-capacity coordination of the lower model whould be close to those of the upper. The objective function for the whole model was the sum of the upper and lower, where the load pre-allcation and feedback were interactively executed and the optimal balance of the system load whould be got under the power flow checking. At last, the transferring sequence was determined by fuzzy evaluation with discrete binary code to assess the operational security which is the best scheme of continues operation. The proposed model can be efficiently solved for online analysis and was verified by using the practical HVDN of an urban power system.
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