Study on optimal capacity in the construction of wind-solar-diesel-battery hybrid power system based on bettle antennae search algorithm improved genetic algorithm

doi:10.19799/j.cnki.2095-4239.2019.0247

Abstract

Abstract:

Determination the capacity ratio in microgrids (MGs) not only lacks a sufficient scientific basis, but also incurs large investment waste, with detrimental impact on subsequent economic dispatching and safe operation of the MG. Therefore, MG construction faces a multi-objective optimization problem. Moreover, there is a complex nonlinear relationship between the capacity of each type of power source and the given index. To solve the capacity ratio optimization problem, this work incorporates the Bettle Antennae Search (BAS) algorithm into the genetic algorithm (GA). Based on the design of a wind-solar-diesel battery hybrid power system, the BAS algorithm improves the ease and speed of finding the global optimal solution and thereby improves the nonlinear planning performance. The input data include the hourly wind speed, hourly solar radiation intensity, and hourly environmental temperature at a certain point in Lanzhou City (Gansu Province, Northwest China), where the power output model has an established dispatching strategy. The primary and secondary goals of the optimal capacity ratio are to maximize the annual power-supply reliability and find the best investment economy, respectively. In all tested cases, the BAS-GA optimized the capacity ratio at faster convergence speed than others and consistently obtained the same result, confirming its stability and reliability. In the BAS-GA with an LPSP of 0.2%, the investment saving was 66%, whereas the basic GA with an LPSP of 0% yielded no investment saving. Moreover, the efficiency/cost ratio obtained by the basic GA (2.3%) exceeded the LPSP. The data of other basic GAs were not comparable with those of BAS-GA. The BAS algorithm effectively prevented the basic GA from falling into the local optima of the capacity- ratio optimization scheme in MG construction.

Key words: MG, WSDB-HPS, GA, BAS, optimal capacity ratio, PSR, IE

CLC Number:

TM 61

LI Yimin, WANG Guanping, MA Jianli, YANG Hao, ZHU Liang, YAN Hongqiang, XU Zheng, ZHU Dongqin. Study on optimal capacity in the construction of wind-solar-diesel-battery hybrid power system based on bettle antennae search algorithm improved genetic algorithm[J]. Energy Storage Science and Technology, 2020, 9(3): 918-926.

Figures/Tables 4

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