Stochastic planning and scheduling of energy storage systems for congestion management in electric power systems including renewable energy resources
Stochastic planning and scheduling of energy storage systems for congestion management in electric power systems including renewable energy resources
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DOI：
10.1016/j.energy.2017.05.167
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发表时间：
2017-08
期刊：
影响因子：
9
通讯作者：
R. Hemmati;H. Saboori;M. A. Jirdehi
中科院分区：
文献类型：
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作者：
R. Hemmati;H. Saboori;M. A. Jirdehi
针对可再生能源电力系统的拥塞管理问题，提出了一种储能系统的最优规划与调度方法。本文提出的问题是寻找ess的最优容量和充放电方式。存储单元进行最佳充电和放电，以解决与风能太阳能单元相关的不确定性，并缓解线路拥堵。采用高斯概率分布函数（PDF）对太阳能和风能发电机组的输出功率进行建模，并采用蒙特卡罗模拟（MCS）来解决不确定性问题。仿真结果表明，该规划在处理风能和太阳能资源不确定性的同时，能够有效地管理网络拥塞。
This paper presents an optimal planning and scheduling on energy storage systems (ESSs) for congestion management in electric power systems including renewable energy resources. The proposed problem finds optimal capacity and charging-discharging regime of ESSs. The storage units are optimally charged and discharged to tackle the uncertainty related to wind-solar units as well as relief congestion in the lines. Output power of solar and wind units is modeled by Gaussian probability distribution function (PDF) and Monte-Carlo simulation (MCS) is applied to tackle the uncertainty. Simulation results demonstrate that the proposed planning can manage congestion of the network efficiently while dealing with wind and solar resources uncertainties.