Provincial Quota Allocation of Wind and Photovoltaic Power Consumption in China Based on Improved Zero Sum Gain Data Envelopment Analysis

Scientific and reasonable allocation of wind and photovoltaic power consumption quotas is the key to the successful implementation of China's renewable portfolio standard. This paper aims to propose a liability quota scheme for wind and photovoltaic power consumption that balances fairness and efficiency, so as to promote the development of wind and photovoltaic power generation industry and balanced regional economy. Firstly, this paper estimates the total volume of wind and photovoltaic power consumption in China under the target of the proportion of non-fossil energy in primary energy consumption in 2025. Secondly, a quota allocation model of wind and photovoltaic power consumption based on the improved Zero Sum Gain Data Envelopment Analysis (ZSG-DEA) model is constructed to achieve provincial quota allocation of wind and photovoltaic power consumption. Finally, the GINI coefficient is used to assess the fairness of the allocation scheme. The results show that firstly china needs to consume 16,473−1,675.9 billion kWh of wind and photovoltaic power in 2025 to achieve the target of non-fossil energy accounting for 20% of primary energy consumption; secondly, under the principle of balancing fairness and efficiency, the southeast coastal region need to consume more power generated from wind and photovoltaic energy; thirdly the allocation achieves DEA efficiency and the Gini coefficient of the allocation is 0.2312, reaching a relatively fair level. This paper provides a reference for China’s policy makers to scientifically and rationally set the weight of renewable power (excluding hydropower) consumption obligation, and provides a guarantee for the successful implementation of the renewable portfolio standard.