Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC) Wisma R & D, University of Malaya, Kuala Lumpur, Malaysia.
Iqra University, Main Campus, Karachi, Pakistan.
PLoS One. 2019 Feb 14;14(2):e0211642. doi: 10.1371/journal.pone.0211642. eCollection 2019.
The incessantly growing demand for electricity in today's world claims an efficient and reliable system of energy supply. Distributed energy resources such as diesel generators, wind energy and solar energy can be combined within a microgrid to provide energy to the consumers in a sustainable manner. In order to ensure more reliable and economical energy supply, battery storage system is integrated within the microgrid. In this article, operating cost of isolated microgrid is reduced by economic scheduling considering the optimal size of the battery. However, deep discharge shortens the lifetime of battery operation. Therefore, the real time battery operation cost is modeled considering the depth of discharge at each time interval. Moreover, the proposed economic scheduling with battery sizing is optimized using firefly algorithm (FA). The efficacy of FA is compared with other metaheuristic techniques in terms of performance measurement indices, which are cost of electricity and loss of power supply probability. The results show that the proposed technique reduces the cost of microgrid and attain optimal size of the battery.
当今世界对电力的需求不断增长,这就要求有一个高效可靠的能源供应系统。微电网可以将柴油发电机、风能和太阳能等分布式能源资源组合在一起,以可持续的方式向消费者提供能源。为了确保更可靠、更经济的能源供应,微电网内集成了电池储能系统。本文通过考虑电池的最佳尺寸进行经济调度,降低孤岛微电网的运行成本。然而,深度放电会缩短电池的运行寿命。因此,在每个时间间隔内考虑放电深度来建模实时电池运行成本。此外,使用萤火虫算法(FA)对带电池尺寸的经济调度进行优化。使用性能指标(即电价和停电概率)对 FA 的效果与其他元启发式技术进行了比较。结果表明,所提出的技术降低了微电网的成本,并达到了电池的最佳尺寸。