Optimization of Capacity Configuration of Wind–Solar–Diesel–Storage Using Improved Sparrow Search Algorithm

• Published in: Journal of electrical engineering & technology Vol. 17; no. 1; pp. 1 - 14
• Main Authors: Dong, Jun, Dou, Zhenhai, Si, Shuqian, Wang, Zichen, Liu, Lianxin
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.01.2022; 대한전기학회
• Subjects: Electrical Engineering; Electrical Machines and Networks; Electronics and Microelectronics; Engineering; Instrumentation; Original Article; Power Electronics; 전기공학; Sparrow search algorithm; Capacity configuration; Niche optimization technology
• ISSN: 1975-0102; 2093-7423
• DOI: 10.1007/s42835-021-00840-3

In order to reasonably allocate the capacity of distributed generation and realize the goal of stable, economic and clean operation of the system, a multi-objective optimization model with investment cost, environmental protection and power supply quality as indicators has been established, and the multi-objective sparrow search algorithm is used to optimize the solution. Although the multi-objective search algorithm is more efficient than the traditional single objective algorithm, it is easy to fall into local optimum. To this end, the niche optimization technology is used to improve the optimization effect of multi-objective sparrow search algorithm, and the Levy flight strategy is introduced to enhance the ability of multi-objective sparrow search algorithm to jump out of local optimum. The calculation example uses the traditional multi-object search algorithm and the niche multi-objective sparrow search algorithm with levy disturbance to solve the proposed model. The simulation results verify the effectiveness of the multi-objective sparrow search algorithm improved by levy disturbance and niche optimization technology.