摘要
随着分布式电源的规模化并网,配电网系统的潮流将发生深刻的变化,储能技术作为一种有效的可调度资源,可充分发挥其灵活性使配电网的运行向利好方面发展。本文将基于动态最优潮流,以配电网全天网损最小为目标,同时满足系统潮流约束、节点电压约束、线路功率约束以及储能装置运行约束等要求,建立高渗透率光伏接入配电网的储能系统配置模型,设计储能系统的容量配置和选址优化方案。以IEEE33节点系统作为测试系统,利用混合整数非线性规划算法求解模型。最后分析储能选址优化和容量配置对网损的影响及其相互关系,为分层储能规划布局研究做技术铺垫。
With the large-scale distributed generation paralleling in the grid, power flow of the distribution network will get profound changes. As an effective schedulable resource, energy storage system can take advantage of its flexibility to optimize the option of the network. This article establishes a configuration model of energy storage system in the distribution network with high penetration of PV based on dynamic optimal power flow. The aim of the problem is to minimize the loss of the network all day with constraints including power flow constraint, node voltage constraint, line flow constraint, operating constraint of energy storage system, etc. We choose IEEE 33-bus system as the test system, and solve the problem using mixed-integer nonlinear programming so that we can design an optimization scheme of configuration and location with this model. Finally, we will analyze the relationship between location optimization, capacity configuration and the net loss to pave the way for hierarchical energy storage study.
作者
王一依
丁伟
WANG Yiyi;DING Wei(Long Yuan (Beijing), Wind Power Engineering & Consulting Co., Ltd., Beijing 100034, China)
出处
《风力发电》
2017年第5期20-26,共7页
Wind Power
关键词
动态最优潮流
储能系统
选址定容
网损
配电网
混合整数非线性规划
dynamic optimal power flow
energy storage system
locating and sizing
network loss
distribution network
mixed integer non-linear programming