| 引用本文: | 赵丽萍,张书伟,张雪岩,李永刚.基于随机机会约束规划的面向能源互联的
主动配电网选址定容方法[J].电力系统保护与控制,2020,48(14):121-129.[点击复制] |
| ZHAO Liping,ZHANG Shuwei,ZHANG Xueyan,LI Yonggang.Locating and sizing method for energy interconnection oriented active distribution networks based on stochastic chance constrained programming[J].Power System Protection and Control,2020,48(14):121-129[点击复制] |
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| 摘要: |
| 面向能源互联的主动配电网作为能源互联网的重要实现形式，是目前智能配电网领域的前沿方向。针对面向能源互联的主动配电网选址定容问题，计及系统不确定性采用随机机会约束规划建立模型。考虑到系统多能互补协调特性，采用全寿命周期成本理论计及设备购置成本、安装成本、运行维护成本、系统运行成本以及残值回收，以概率形式的配电网选址定容综合成本为目标函数，计及设备配置容量约束、系统供能可靠性约束、功率平衡约束、设备运行约束等必要约束条件建立模型。对基本人工鱼群算法引入反馈策略、全局最优记录以及自适应视野和步长进行改进，并采用改进人工鱼群算法对所建立的模型进行求解。最后通过两种选址定容场景的仿真，验证了所提方法以及算法改进的有效性。 |
| 关键词: 能源互联 主动配电网 选址定容 随机机会约束规划 人工鱼群算法 |
| DOI：10.19783/j.cnki.pspc.191118 |
| 投稿时间：2019-09-15修订日期：2019-11-13 |
| 基金项目:河北省自然科学基金京津冀合作专项项目资助(F2016203507) |
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| Locating and sizing method for energy interconnection oriented active distribution networks based on stochastic chance constrained programming |
| ZHAO Liping,ZHANG Shuwei,ZHANG Xueyan,LI Yonggang |
| (Zhangjiakou Power Supply Company, State Grid Jibei Electric Power Co., Ltd., Zhangjiakou 075001, China) |
| Abstract: |
| As an important part of the energy internet, an energy interconnection-oriented active distribution network has been a research frontier in the field of intelligent distribution networks. In order to solve the problem of locating and sizing of an energy interconnection-oriented active distribution network, a stochastic chance constrained programming model is established considering system uncertainty. Considering the multi-energy complementary coordination characteristics of the system, life cycle cost theory is adopted to take into account the purchase cost of equipment, installation, operation, maintenance and system operation costs and residual value recovery. The comprehensive cost of location and capacity of a distribution network in probability form is taken as the objective function, and necessary constraints such as the capacity of equipment configuration, system power supply reliability, power balance, and equipment operation, etc. are taken into account. It introduces a feedback strategy, a global optimum record, and an adaptive visual field and step size to improve the basic artificial fish swarm algorithm, and then uses the improved algorithm to solve the built model. Finally, the effectiveness of the proposed strategy and the improved algorithm is verified by simulating two kinds of locating and sizing scenarios.
This work is supported by Beijing-Tianjin-Hebei Cooperation Special Project of National Natural Science Foundation of Hebei Province (No. F2016203507). |
| Key words: energy interconnection active distribution network locating and sizing stochastic chance constrained programming artificial fish swarm algorithm |
