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

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...

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Vydané v:Journal of electrical engineering & technology Ročník 17; číslo 1; s. 1 - 14
Hlavní autori: Dong, Jun, Dou, Zhenhai, Si, Shuqian, Wang, Zichen, Liu, Lianxin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Singapore Springer Singapore 01.01.2022
대한전기학회
Predmet:
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
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Popis
Shrnutí: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.
ISSN:1975-0102
2093-7423
DOI:10.1007/s42835-021-00840-3