Multi-criteria comprehensive evaluation of distributed energy system

被引:0
|
作者
Dong F. [1 ]
Zhang Y. [1 ]
Shang M. [1 ]
机构
[1] School of Economics and Management, North China Electric Power University, Changping District, Beijing
来源
| 1600年 / Chinese Society for Electrical Engineering卷 / 36期
关键词
AHP-entropy weight method; Comprehensive evaluation; Distributed energy resources; Multi-criteria; Set pair analysis;
D O I
10.13334/j.0258-8013.pcsee.152536
中图分类号
学科分类号
摘要
There are many energy output forms of distributed energy resource (DER) and power generation of DER is intermittent, instable and environmental. Therefore, there are technical difficulties in modeling, setting evaluation indexes, determining the weight and so on. Based on the comprehensive analysis of the characteristics of distributed energy resource, an index system including the economy, consumption of energy and environmental factors was developed. AHP-entropy weighting method which combines subjective and objective weighing methods and corrects AHP weighting method with entropy was proposed in order to determine the index weight better. The method integrates subjective and objective weighting methods in a scientific and rational way. The paper also established a multiple attribute weighted decision model which analyzed the identical, contrary and discrepancy degree of each scheme with radar view and scatter plot. Case study shows that the evaluation result of the model is intuitive and in line with reality, taking full advantage of the data. © 2016 Chin. Soc. for Elec. Eng.
引用
收藏
页码:3214 / 3222
页数:8
相关论文
共 21 条
  • [1] Zhang D., Yao L., Ma W., Development strategies of smart grid in China and abroad, Proceedings of the CSEE, 33, 31, pp. 1-14, (2013)
  • [2] Yang Y., Yang Z., Xu G., Et al., Situation and prospect of energy consumption for China's thermal power generation, Proceedings of the CSEE, 33, 23, pp. 1-11, (2013)
  • [3] Zhao J., Bioenergy as a new energy industry: insights into its impact on environmental, ecological, social and economic future, Bulletin of the Chinese Academy of Sciences, 27, 2, pp. 219-225, (2012)
  • [4] Sui J., Jin H., Research and development on key technologies of distributed energy system in China, Power Generation & Air Condition, 33, 4, pp. 1-4, (2012)
  • [5] Yang X., Luo X., Wang Y., Et al., Distributed energy system efficiency optimization modeling research, Journal of Jiangsu University of Science and Technology(Natural Science Edition), 296, 2, pp. 138-142, (2015)
  • [6] Zhang X., Chen Z., Energy consumption performance of combined heat cooling and power system, Proceedings of the CSEE, 27, 5, pp. 93-98, (2007)
  • [7] Wu Q.H., Zheng J.H., Jing Z.X., Coordinated scheduling of energy resources for distributed DHCs in an integrated energy grid, CSEE Journal of Power and Energy Systems, 1, 1, pp. 95-103, (2015)
  • [8] Wang T., Bi T.S., Wang H.F., Et al., Decision tree based online stability assessment scheme for power systems with renewable generations, CSEE Journal of Power and Energy Systems, 1, 2, pp. 53-61, (2015)
  • [9] Biezma M.V., San Cristobal J.R., Investment criteria for the selection of cogeneration plants-a state of the art review, Applied Thermal Engineering, 26, 5-6, pp. 538-588, (2006)
  • [10] Lin R., Guo D., Jin H., Et al., A new evaluation criterion of distributed energy systems for CCHP-The energy cascade utilization efficiency, Gas Turbine Technology, 23, 1, pp. 1-10, (2010)