Research and Economic Analysis of the Source-Load Coordination of Oil Shale Exploitation. (31st October 2019)

• Record Type: Journal Article
• Authors: Yang, Xiyun; Zhang, Le; Ye, Tianze; Yang, Yuwei; Wang, Yiwei; Su, Jianzheng
• Other Names: Zhang Hao Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2019(2019)
• Publication Date: 2019-10-31
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2019/4897156
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In-situ exploitation of oil shale by electric heating consumes large amounts of electricity. Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. The income ratio of the five modes is calculated using actual data of a project in Jilin province in China, and the feasibility of in-situ electric heating by wind power, photovoltaic power, and the power grid is determined. The results of this study provide useful references for decision makers to plan the power supply scheme for in-situ oil shale exploitation.