CVaR risk-based optimization framework for renewable energy management in distribution systems with DGs and EVs

Author:

Wu Jiekang,Wu Zhijiang,Wu Fan,Tang Huiling,Mao Xiaoming

Funder

National Natural Science Foundation of China

The National High Technology Research and Development of China

Specialized Research Fund for the Doctoral Program of Higher Education

Natural Science Foundation of Guangdong

Guangxi Natural Science Foundation

Guangdong special fund for public welfare study and ability construction

The Guangdong Applied Science and Technology Research Foundation of P.R.China

The Talent Introduction Special Foundation Project of Guangdong High School

The Disciplinary Construction Special Foundation Project of Guangdong High School

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference58 articles.

1. Risk-based management of overloads caused by power injection uncertainties using power flow controlling devices;Guha Thakurta;IEEE Trans Power Syst,2015

2. Short-term impacts of DR programs on reliability of wind integrated power systems considering demand-side uncertainties;Moshari;IEEE Trans Power Syst,2015

3. Uncertainty tracing of distributed generations via complex affine arithmetic based unbalanced three-phase power flow;Wang;IEEE Trans Power Syst,2015

4. Risk assessment for power system operation planning with high wind power penetration;Negnevitsky;IEEE Trans Power Syst,2015

5. Risk analysis for distribution systems in the northeast U.S. Under wind storms;Li;IEEE Trans Power Syst,2014

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