Jianjian Shen
Dalian University of Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jianjian Shen.
2016 IEEE Green Energy and Systems Conference (IGSEC) | 2016
Jianyu Lu; Lingzhi Yan; Binbin Zhou; Jianjian Shen
East China Grid is a branch of the State Grid Corporation of China that operates the largest regional power grid in China which provides electricity to four provinces and Shanghai, about 258 million people. As the national leader in the development of offshore wind farms and nuclear power plants, East China Grid is also the primary receiving end of national ultra-high voltage backbone power grids. However, intermittent outputs by renewable sources and inflexible ultra-high voltage direct current together threaten the viability of maintaining reliable and high-quality electric service for consumers. This paper proposed practical ways for East China Grid Corporation to absorb renewables as much as possible under its high proportion of coal-fired power plants. It shows that pumped hydropower plants still have potential to help more about peak-regulation but require market incentives. And the nuclear power plants in East China Grid which equal half of nationwide nuclear capacity, will contribute significantly via load-following operation.
World Environmental and Water Resources Congress 2013: Showcasing the Future | 2013
Xiong Cheng; Jianjian Shen; Xinyu Wu; Chuntian Cheng
In China, about 70% of hydro resources are concentrated in the southwestern regions, and single provincial hydropower system is mainly constituted by several large-scale mainstream cascaded hydropower plants. The share of hydropower installed capacity in these rivers is about 77% of total hydropower installed capacity and 63% of total installed capacity in provincial power grid. These mainstream cascaded hydropower plants are characterized by large capacity, huge units, and dynamic operation control, etc. It will take a long time to be fully put into operation for all units. The hydropower plants with huge capacity have a significant impact on the long-term operation of large-scale hydropower systems and provincial power grids. In this paper, long-term scheduling methods for large-scale hydropower systems are presented and tested for dynamic operation control of Jinshajiang River and Lancangjiang River in Yunnan Power Grid (YNPG). It mainly consists of a unified evaluation method for all reservoirs to determine natural runoff process with same probability and a long-term scheduling method for large-scale hydrothermal system with different total installed capacity in different years. The method has been applied in long-term hydropower simulation scheduling analysis in YNPG from 2012 to 2015. The results show that the proposed methods can solve long-term scheduling for large-scale hydropower system. The proposed methods and ideas can provide a reference for large-scale hydropower system operations.
Energy | 2014
Jianjian Shen; Chuntian Cheng; Xinyu Wu; Xiong Cheng; Weidong Li; Jianyu Lu
International Journal of Electrical Power & Energy Systems | 2015
Xinyu Wu; Chuntian Cheng; Jianjian Shen; Bin Luo; Shengli Liao; Gang Li
Energy | 2016
Jianjian Shen; Chuntian Cheng; Xiong Cheng; Jay R. Lund
International Journal of Electrical Power & Energy Systems | 2015
Chuntian Cheng; Xiong Cheng; Jianjian Shen; Xinyu Wu
Modern power systems | 2018
Chuntian Cheng; Bin Luo; Jianjian Shen; Shengli Liao
Energy | 2018
Chuntian Cheng; Chengguo Su; Peilin Wang; Jianjian Shen; Jianyu Lu; Xinyu Wu
Energy | 2018
Jianjian Shen; Chuntian Cheng; Xiufei Zhang; Binbin Zhou
World Environmental and Water Resources Congress 2017 | 2017
Shumin Miao; Bin Luo; Jianjian Shen; Chuntian Cheng