Chance constrained optimization of distributed energy resources via affine policies
Chance constrained optimization of distributed energy resources via affine policies
复制标题
通过仿射策略的分布式能源的机会约束优化
DOI：
10.1109/globalsip.2017.8309121
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
A. Taha
中科院分区：
文献类型：
--
作者：
K. S. Ayyagari;Nikolaos Gatsis;A. Taha
研究了不确定条件下配电网分布式能源的优化管理问题。不确定性的来源包括用户用电量和光伏(PV)机组产生的间歇性可再生能源。实现智能控制规律的DER主要包括产生或吸收无功功率的光伏逆变器，以及可用于协调光伏单元与负载的存储单元(电池)。建立了一种随机最优潮流模型，其中控制作用用不确定量的仿射函数表示。电压安全约束作为概率约束被包括在内。假设不确定量服从高斯分布，得到的优化问题是一个二阶锥规划问题。数值试验验证了概率电压规范。
This paper is concerned with optimal management of distributed energy resources (DERs) in distribution networks under uncertainty. The sources of uncertainty include user power consumption and intermittent renewable energy produced by photovoltaic (PV) units. The DERs enabling smart control laws mainly comprise photovoltaic inverters that produce or absorb reactive power, and storage units (batteries) that can be used to coordinate the photovoltaic units with the loads. A stochastic optimal power flow is formulated, where the control actions are expressed as affine functions of the uncertain quantities. Voltage security constraints are included as probabilistic constraints. Assuming that the uncertain quantities follow the Gaussian distribution, the resulting optimization problem is shown to be a second-order cone program. Numerical tests validate the probabilistic voltage specification.
影响因子：
6.6
作者：
Weixuan Lin;E. Bitar
通讯作者：
Weixuan Lin;E. Bitar