Distribution Locational Marginal Pricing for Optimal Electric Vehicle Charging Through Chance Constrained Mixed-Integer Programming

This paper presents a distribution locational marginal pricing (DLMP) method through chance constrained mixed-integer programming (MIP) designed to alleviate the possible congestion in the future distribution network with high penetration of electric vehicles (EVs). In order to represent the stochas...

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Veröffentlicht in:	IEEE transactions on smart grid Jg. 9; H. 2; S. 644 - 654
Hauptverfasser:	Liu, Zhaoxi, Wu, Qiuwei, Oren, Shmuel S., Huang, Shaojun, Li, Ruoyang, Cheng, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.03.2018
Schlagworte:	Chance constrained programming congestion management distribution locational marginal pricing (DLMP) distribution system operator (DSO) electric vehicle (EV) Electric vehicles Optimization Planning Pricing Programming Sensitivity Stochastic processes
ISSN:	1949-3053, 1949-3061
Online-Zugang:	Volltext
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