Multiattribute utility mergence model of SNOP optimal allocation

Authors

Rui MA, Department of Electrical Engineering, Research Center for Big Data Engineering and Technologies, Shanghai JiaoTong University, Shanghai 200240 , China
Jie GU, Department of Electrical Engineering, Research Center for Big Data Engineering and Technologies, Shanghai JiaoTong University, Shanghai 200240 , China
Hongqiao PENG, Department of Electrical Engineering, Research Center for Big Data Engineering and Technologies, Shanghai JiaoTong University, Shanghai 200240 , China

Keywords

distribution network, distributed generation, SNOP, multiattribute utility mergence method, utility function

Abstract

The optimal allocation of SNOP considering operation efficiency and investment of distribution network is a multiobjective problem. In this paper, a multiattribute utility mergence method is proposed. Firstly, mergence rules are identified to achieve the aggregate utility according to the internal characteristic and logic relation of optimization indexes. Then, a SNOP allocation optimization model is built with the max aggregate utility value as the object. Finally, a case study of IEEE 33bus system is included to verify the effectiveness of the proposed model and method. It is shown that the multiattribute utility method for SNOP allocation can decrease active power losses, improve the system voltage level and load balancing level and increase the distributed generation penetration with a reasonable SNOP capacity.

DOI

10.19781/j.issn.16739140.2020.01.009

First Page

75

Last Page

82

Recommended Citation

MA, Rui; GU, Jie; and PENG, Hongqiao (2020) "Multiattribute utility mergence model of SNOP optimal allocation," Journal of Electric Power Science and Technology: Vol. 35: Iss. 1, Article 9.
DOI: 10.19781/j.issn.16739140.2020.01.009
Available at: https://jepst.researchcommons.org/journal/vol35/iss1/9