Analysis and Optimization of Power Supply Structure Based on Markov Chain and Error Optimization for Renewable Energy from the Perspective of Sustainability

• Main Authors: Xiaomin Xu, Dongxiao Niu, Jinpeng Qiu, Peng Wang, Yanchao Chen
• Format: Article
• Language: English
• Published: MDPI AG 2016-07-01
• Series: Sustainability
• Subjects: renewable energy; power supply structure prediction; Markov analysis; error optimization; optimal adjustment strategy
• Online Access: http://www.mdpi.com/2071-1050/8/7/634

With the rapid development of renewable energy, power supply structure is changing. However, thermal power is still dominant. With the background in low carbon economy, reasonable adjustment and optimization of the power supply structure is the trend of future development in the power industry. It is also a reliable guarantee of a fast, healthy and stable development of national economy. In this paper, the sustainable development of renewable energy sources is analyzed from the perspective of power supply. Through the research on the development of power supply structure, we find that regional power supply structure development mode conforms to dynamic characteristics and there must exist a Markov chain in the final equilibrium state. Combined with the characteristics of no aftereffect and small samples, this paper applies a Markov model to the power supply structure prediction. The optimization model is established to ensure that the model can fit the historical data as much as possible. Taking actual data of a certain area of Ningxia Province as an example, the models proposed in this paper are applied to the practice and results verify the validity and robustness of the model, which can provide decision basis for enterprise managers.