在直流潮流约束和低效率存储条件下电网的合作与存储权衡

S. Lakshminarayana, Wei Wei, H. Poor, Tony Q. S. Queky
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引用次数: 2

摘要

本文研究了分布式发电环境下,合作(能量聚集)和存储在缓解可再生能源波动方面的联合效应。合作利用了可再生能源发电的跨空间多样性,而存储利用了跨时间的多样性。研究了这两种技术之间的权衡,并研究了两种技术最优的制度。分布式发电机组之间的合作受到电网潮流约束和输电线路热限制的制约,而储能则受到设备容量和缺陷的制约。该问题被表述为一个随机优化问题,其目标是在满足用户需求、NPF和存储约束的情况下,使能量交换的时间平均成本最小。采用直流潮流模型来表述NPF约束。提出了一种基于Lyapunov优化技术的低复杂度在线求解方法,并推导了算法性能的解析界。利用IEEE基准总线系统进行了大量的仿真,验证了算法的结果。首先说明了在建模MG合作时纳入NPF约束的重要性,并表明忽略它们可能导致错误的权力共享策略。然后,在有限容量输电线路存在的情况下,说明了MG合作的好处。进一步观察到,当电池效率低下时,其利用率很低(与电池容量无关),并且大部分剩余负载通过与电网内其他元件之间的能量交换来满足。然而,当电池效率高且存储容量大时,可以观察到大部分多余的可再生能源被存储在电池中,并在未来的某个时间局部利用。在这一机制下,合作不会产生显著收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperation and storage tradeoffs in power-grids under DC power flow constraints and inefficient storage
In this work, the combined effects of cooperation (energy aggregation) and storage in mitigating the fluctuations of renewable energy are examined under the setting of distributed energy generation. While cooperation exploits the diversity of renewable energy generation across space, storage exploits the diversity present across time. The trade-off between these two techniques examined, and the regimes under which the two techniques are optimal is investigated. While cooperation between the distributed generating units is restricted by the network power flow (NPF) constraints and thermal limits of the transmission lines, energy storage is in turn restricted by device capacity and imperfections. The problem is formulated as a stochastic optimization problem with the objective of minimizing the time average cost of energy exchange, subject to satisfying the user demands, the NPF and storage constraints. A DC power flow model is used to formulate the NPF constraints. A low complexity online solution to solve this problem is proposed based on the Lyapunov optimization technique, and analytical bounds on the performance of the algorithm are derived. The algorithm results are validated by performing extensive simulations using the IEEE benchmark bus systems. First the importance of incorporating NPF constraints while modeling MG cooperation are illustrated, and it is shown that ignoring them can lead to erroneous power sharing strategies. Then, the benefits of MG cooperation are illustrated in the presence of limited capacity power transmission lines. Further, it is observed that when the battery is inefficient, its utilization is low (regardless of the battery capacity), and most of the residual load is satisfied by exchanging energy among other elements within the grid. However, when the battery is efficient and has a large storage capacity, it is observed that most of the excess renewable energy is stored in the battery, and utilized locally at a future time. Under this regime, cooperation does not yield significant benefits.
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