Abstract
With the development of carbon electricity, achieving a low-carbon economy has become a prevailing and inevitable trend. Improving low-carbon expansion generation planning is critical for carbon emission mitigation and a low- carbon economy. In this paper, a two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is proposed. First, renewable energy sequences considering the uncertainty in multiple time scales are generated based on the Copula function and the probability distribution of renewable energy. Second, a two-layer generation planning model considering carbon trading and carbon capture technology is established. Specifically, the upper layer model optimizes the investment decision considering the uncertainty at a monthly scale, and the lower layer one optimizes the scheduling considering the peak shaving at an hourly scale and the flexibility at a 15-minute scale. Finally, the results of different influence factors on low-carbon generation expansion planning are compared in a provincial power grid, which demonstrate the effectiveness of the proposed model.
Highlights
For carbon emission reduction, the installed capacities of wind turbines (WTs) and photovoltaics (PVs) have grown rapidly in China in recent years [1,2]
A two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is proposed
Based on the data demand of the low-carbon generation expansion planning model proposed in this paper, fluctuation models at multi-time scales are combined with the models considering the spatio-temporal correlation of wind and PV power to generate sequences at multi-time scales
Summary
The installed capacities of wind turbines (WTs) and photovoltaics (PVs) have grown rapidly in China in recent years [1,2]. A model considering economic and environmental benefits [20] was proposed based on investment decision optimization and multi-time scale optimization operation, and was found to be suitable for large-scale renewable energy integration. The method of low-carbon generation expansion planning was studied in the aforementioned research, the integration of low-carbon elements and the characteristics of renewable energy at multi-time scales should be further considered. Aiming to solve the aforementioned problem, a two-layer lowcarbon generation expansion planning model considering the uncertainty of renewable energy at multi-time scales is proposed based on the concept of decomposition coordination.
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