Robust Scheduling Scheme for Energy Storage to Facilitate High Penetration of Renewables
Robust Scheduling Scheme for Energy Storage to Facilitate High Penetration of Renewables
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DOI：
10.1109/tste.2015.2498622
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发表时间：
2016-04
影响因子：
8.8
通讯作者：
Jialiang Yi;P. Lyons;P. Davison;Pengfei Wang;P. Taylor
中科院分区：
文献类型：
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作者：
Jialiang Yi;P. Lyons;P. Davison;Pengfei Wang;P. Taylor
本文提出了一种鲁棒调度方案的能量存储系统（ESS）部署在配电网，以促进高渗透率的可再生能源（RES）。该方案计划的充电和放电的ESS认知的充电状态（SoC）的限制，传输线真实的时间热额定值（RTTR），和电压约束。鲁棒优化（RO）已被用来处理RES输出，负载和RTTR的不确定性。已经引入了两种方法来估计的成本和约束违反的概率之间的权衡。所提出的调度方案进行了测试，IEEE 14和118母线网络与真实的负荷，发电，RTTR配置文件，通过蒙特卡罗模拟（MCS）。测试结果表明，该方案能够最大限度地减少或削减违反约束的概率到一个理想的水平。相比之下，经典的最优潮流（OPF）方法，不考虑不确定性，当与RTTR和ESS耦合时，导致低PoS。同时，与保守的OPF方法相比，所提出的方案降低了ESS的功率和能量需求。
This paper presents a robust scheduling scheme for energy storage systems (ESSs) deployed in distribution networks to facilitate high penetrations of renewable energy sources (RES). This scheme schedules the charging and discharging of an ESS cognizant of state-of-charge (SoC) limits, transmission line real time thermal ratings (RTTR), and voltage constraints. Robust optimization (RO) has been adopted to deal with the uncertainty of RES output, load, and RTTR. Two methods have been introduced to estimate the tradeoff between the cost and the probability of constraint violations. The proposed scheduling scheme is tested on the IEEE 14 and 118 busbar networks with real load, generation, and RTTR profiles through Monte Carlo simulation (MCS). Test results show that the proposed scheme is able to minimize or curtail the probability of constraint violation to a desired level. In contrast, classical optimal power flow (OPF) approaches which do not consider uncertainty, when coupled with RTTR and ESS, result in a low PoS. At the same time, compared to conservative OPF approaches, the proposed scheme reduces the power and energy requirement of ESS.