Research on integrated resource strategic planning based on complex uncertainty simulation with case study of China

Yanan Zheng, Dongming Ren, Zheyu Guo, Zhaoguang Hu and Quan Wen

Energy, 2019, vol. 180, issue C, 772-786

Abstract: In response to climate change, developing renewable energy has become a main way of energy transition in many countries. In terms of medium-and long-term, the development of renewable energy generation technologies, such as wind and solar, is certain to face uncertainties. More than this, power demand and other factors are also facing many complex uncertainties. However, traditional planning methods are not able to take various uncertainties into account. In the past, the serious underestimation of uncertainties existing in the development caused China’s a series of problems, such as renewables curtailment. Therefore, this paper firstly reviews the current status and the existing problems of renewable energy generation in China, and discusses the crucial uncertainty factors affecting medium-and long-term renewable energy planning; and then, the complex uncertainty models of power demand and renewable energy generation cost are built respectively, and the improved integrated resource strategic planning model is proposed; finally, by using the proposed model China’s wind, solar and biomass power development during 2016–2030 is studied from the perspective of big data planning, and the advantages and drawbacks of the improved method is discussed.

Keywords: Renewable energy development; Integrated resource strategic planning; Complex uncertainty simulation; Latin hypercube sampling (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:180:y:2019:i:c:p:772-786

DOI: 10.1016/j.energy.2019.05.120

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