Optimal placement and operation of BESS in a distribution network considering the net present value of energy losses cost
Optimal placement and operation of BESS in a distribution network considering the net present value of energy losses cost
复制标题
考虑能源损失成本的净现值，BESS 在配电网中的最佳布局和运行
DOI：
10.1109/eleco.2015.7394582
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Amin Yazdani Nejadi
中科院分区：
文献类型：
--
作者：
M. Farsadi;T. Sattarpour;Amin Yazdani Nejadi
近年来，电池储能系统在配电网中的渗透率增加。这是因为越来越多的兴趣将能量存储设备集成到电力系统智能电网中。能量集成与智能电网的目标是一致的，即提高电力系统的可靠性和满意运行。电池储能系统作为一种储能装置具有一定的优势可以满足这些目标。使用这些设备的主要挑战之一是它们的最佳放置。在本文中，电池储能的最佳位置，通过评估遗传算法，以最小化净现值有关的功率损失，除了它的最佳操作在面对不同的百分比的负荷水平与特定的电价为每个级别。尽管本文在电池储能器放置领域进行了大部分研究，但负载特性被认为是多层次的，以接近实际优化。此外，本文对储能装置的成本效益进行了优化，没有考虑储能装置的套利效益。考虑到这一点，本方案的总效益仍高于同类工程。为了评估这一优化挑战IEEE-33总线标准的配电网络选择和所提出的方案的效率进行验证，结果与以前的类似工作进行了比较。
In recent years, penetration of battery energy storage systems in distribution networks is increased. This is because of increasing interest to integrate energy storage devices into the power system smart grid. Integrating energy have simultaneously goal with smart grid, which are improve the reliability and satisfactory operation of power system. Battery energy storage system is as one kind of energy storage devices have some advantage can satisfy these goals. One of the main challenges in use of these devices is the optimal placement of them. In this paper, optimal placement of battery energy storage is obtained by evaluating genetic algorithm for minimizing net present value related to power losses in addition to its best operation during faced different percentage of load levels with specific electricity price for each level. In this paper in spite of most of research in the field of placement of battery energy storage, the load characteristic is considered multi-level to approach realty optimization. In addition, in this paper cost benefit of energy storage installation respect to the energy losses cost is optimized and arbitrage benefits of this installation did not considered. By considering this, yet the total benefit in presented scheme is higher than homogeneous works. To evaluate this optimization challenge IEEE-33 bus standard distribution network is chosen and to validation of efficiency of presented scheme, results are compared with previous similar works.