Multi‐factor Analysis of Capacity Allocation Optimization for Novel Wind‐Hydrogen Coupled Power Generation Systems

Author:

Meng Zhaoxin1ORCID,Liu Yixue1,Di Junjie1,He Qing1,Shen Yi2,Du Dongmei1

Affiliation:

1. School of Energy Power and Mechanical Engineering North China Electric Power University No. 2 Beinong Road, Changping Beijing 102206 China

2. Zhejiang Energy Research and Development Institute Company Limited Zhejiang Provincial Energy Group Company Ltd Hangzhou 311121 China

Abstract

Wind power generation has the problem of wind resource waste. Wind‐hydrogen coupled can enhance wind power's utilization and revenue. Currently, there is no discussion of the impact of multiple factors on the system configuration. In this study, take the annual profit of the wind‐hydrogen coupled power generation systems (WHCPGS) as the objective function, and construct the multi‐factor capacity configuration model. Using particle swarm optimization (PSO) to solve the model, and analyzes the impact of multi‐factors on the system's annual profit and revenue mode. The results show that with 30 wind turbines, the coupled system annual profit increases by 43% compared to the alone system. The higher investment does not make the system more rewarding. The configuration results are the same for investments of 0.8 billion ¥ and 1 billion ¥. The price at 0.20 ¥ kW−1 h−1, the coupled system has the optimal annual profit. Fuel cells’ (FCs) electricity price and hydrogen transportation distance are crucial factors influencing the mode of the system profit. This study has specific reference significance for the practical application of capacity configuration of the system.

Funder

National Key Research and Development Program of China

Publisher

Wiley

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