Automation of Electric Power SystemsVol. 39, Issue 19, Pages: 54-60(2015)
作者机构:
智能电网教育部重点实验室(天津大学),天津市,300072
作者简介:
基金信息:
DOI:
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Published:2015
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XIAO Jun. [J]. Automation of electric power systems, 2015, 39(19): 54-60.
DOI:
XIAO Jun. [J]. Automation of electric power systems, 2015, 39(19): 54-60.DOI:
配电网络公共储能位置与容量的优化方法
摘要
在含有分布式电源的配电网中为储能选取合适的位置和容量
可以有效地减少储能投资
优化整个电网的经济效益。为此
提出了一种储能容量和位置优化方法
在现有文献方法的基础上增加了容量修正环节
能够在达到相同目标的前提下降低总成本
迭代收敛更快。首先
建立了储能位置与容量的优化模型:以整个电网总成本最小为目标
以储能充放电功率、容量及所在位置节点为优化变量
约束条件考虑了荷电状态(SOC)限制及充放电功率、电压上下限;然后
给出了采用遗传算法求解模型的步骤;最后
对IEEE 33节点配电网的算例验证结果表明
与传统方法相比
在优化后得到同样的储能位置时
所提方法得到的储能容量更小
且电网总成本更低。
Abstract
The optimization of placement and capacity of energy storage in a distribution system is capable of reducing the investment in energy storage as well as optimizing the economic benefit of the whole grid. In order to achieve this goal
an optimal method for the placement and capacity of energy storage in the distribution system is proposed
which adds the energy storage capacity correction step to the traditional method
thus effectively achieving lower investment and faster speed at the same target. First
the optimal model for placement and capacity of energy storage is established
which takes the minimum value of the total cost of the whole power grid as the objective while the energy storage capacity
location
charging and discharging power as optimization variables and the limitation on energy charged state
the charging/discharging efficiency and the upper and lower bounds for voltage as constraint conditions. Then
the method solving the model is given. In the end
an IEEE 33-node distribution grid is taken as an example to verify the better performance of the proposed method for its smaller energy storage capacity and lower total cost of power grid. This work is supported by National High Technology Research and Development Program of China (863 Program) (No. 2011AA05A117) and National Natural Science Foundation of China (No. 51277129).