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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Vydané v:	IEEE transactions on smart grid Ročník 9; číslo 2; s. 644 - 654
Hlavní autori:	Liu, Zhaoxi, Wu, Qiuwei, Oren, Shmuel S., Huang, Shaojun, Li, Ruoyang, Cheng, Lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.03.2018
Predmet:	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
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