Comprehensive Assessment System and Method of Smart Distribution Grid

Abstract:

According to key values and demands of smart distribution grids in China, a smart distribution grid comprehensive assessment index system and method is established. The index system is divided into the demand index set and assessment index set. As the former represents the macroscopic features while the latter represents the microscopic factors of the smart distribution grid. A causal connection exists between them. Also a hierarchical optimization model with combination weight, which is based on the DEMATEL-ANP-anti-entropy weight method and the improved Grey incidence approach, is proposed. The DEMATEL-ANP-anti-entropy weight method is used for demand indices weight analysis, while the improved Grey incidence approach is put forward for the evaluation on assessment indices. Results of applying the proposed method in practical case shows that the proposed method is valuable in following aspects: scientifically assessing the intelligent development level and effectiveness of distribution grid, analyzing and recognizing the grids operation condition and weak link, giving reference to planning and construction of smart distribution grid, and so on. Index Terms Smart distribution grid; comprehensive assessment; index system; combination weight; hierarchical optimization.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 1901-1908
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.1901
• Online since: December 2013
• Authors: Ying Wei Song, Jian Liu, Liao Yi Ning, Zhen Tao Han, Hong Liu, Shi Ju Wang*
• Keywords: Combination Weight, Comprehensive Assessment, Hierarchical Optimization, Index System, Smart Distribution Grid (SDG)

References

[1] U.S. Office of Electricity Delivery and Energy Reliability．Transforming electricity delivery[R]. New York U.S. Department of Energy，2007.

[2] European SmartGrids technology platform：vision and strategy for Europe＇s electricity networks of the future[R]．Brussels，Belgium：European Commission，Directorate-General for Research，Information and Communications Unit，2006.

[3] Yu Yixin，Luan Wenpeng．Smart grid and its implementations [J]．Proceedings of the CSEE, 2009，29 (34)：1-8.

[4] Zhang Hongbin，Li Jingru，Yang Weihong，et al．Study on the Evaluation Indicator System of the Pilot Project of Smart Grid[J]．Energy Technology and Economics，2010，22(12)：11-15.

[5] Zhang Tiefeng，Wang Jiangtao，Yuan Jinsha．Research of intelligent distribution network[J]. Telecommunications for Electric Power System，2007，28(181)：49-52.

[6] Xu Bingyin，Li Tianyou，Xue Yongduan．Smart Distribution Grid and Distribution Automation[J]．Automation of Electric Power Systems，2009，33(17)：38-41.

[7] Yu Yixin．Intelligent Distribution Network in the New Situation[J]．Power System and Clean Energy，2009，25(7)：1-3.

[8] Sun Qiang，Ge Xubo，Liu Lin，et al．Review of Smart Grid Comprehensive Assessment Systems[J]．Proceedings of the CSU-EPSA，2011，23(6)：105-109.

[9] Wang Zhidong，Li Hui，Li Juan，et al．Assessment Index System for Smart Grids[J]. Power System Technology，2009，33(17)：14-18.

[10] Wang Bin，He Guangyu，Mei Shengwei，et al．Construction Method of Smart Grid's Assessment Index System[J]．Automation of Electric Power Systems，2011，35(23)：1-5.

[11] Sun Qiang，Ge Xubo，Liu Lin，et al．Multi-Attribute Network Process Comprehensive Evaluation Method for Smart Grid and Its Application[J]．Power System Technology，2012, 36(10)：49-54.

DOI: 10.1109/appeec.2012.6307233

[12] Li Tianyou，Xu Bingyin．Self-healing and its benchmarking of smart distribution grid[J]. Power System Protection and Control，2010，38(22)：105-108.

[13] Cui Jie，Dang Yaoguo，Liu Sifeng．An Improved Approach for Determining Weights of Attributes in Decision Making Based on Grey incidence[J]．Chinese Journal of Management Science，2008，16(5)：141-145.

[14] Han Zhentao，Huang Zhiwei，Ge Shaoyun，et al．A comprehensive evaluation system of urban distribution network[J]．Power System Technology，2012，36(8)：95-99.