柴油发电机
粒子群优化
可再生能源
微电网
水准点(测量)
光伏系统
发电
电
可靠性工程
工程类
汽车工程
数学优化
计算机科学
功率(物理)
柴油
数学
电气工程
物理
量子力学
地理
大地测量学
作者
Gourav Kumar Suman,Josep M. Guerrero,Om Prakash Roy
标识
DOI:10.1016/j.scs.2021.102723
摘要
The suitability of microgrids depends upon the balance between the size, cost-efficiency and reliability of the system. The work involves optimal planning of microgrid taking a case of three locations in the Indian state of Bihar. A combination of Solar/Wind/Bio-generator energy generation units along with diesel generation and the battery is implemented for this purpose. The tradeoff between Cost Of Electricity (COE) and Deficiency of Power Supply Probability (DPSP) has been analysed and an objective function is defined as a combination of the two with a bound of Renewable Factor (RF). A hybrid Particle Swarm Optimisation-Grey Wolf Optimiser (PSO-GWO) is implemented for optimisation. The performance of the algorithm is compared with numerous others using 13 classical benchmark test functions and 10 CEC-06 2019 benchmark functions. The obtained microgrids are analysed to supply at an average Cost of Electricity of 0.17($/kWh) meeting at least 93% of the demand. Besides, an average renewable factor of 0.93 makes the system environmental friendly. The work also includes a sensitivity analysis of Cost of Electricity. The results are compared with those using other previously used algorithms in the literature and the effectiveness of the implemented algorithm is established.
科研通智能强力驱动
Strongly Powered by AbleSci AI