Modeling and Optimization of Multitype Power Sources Stochastic Unit Commitment Using Interval Number Programming-Reference-Cited by-同舟云学术

Modeling and Optimization of Multitype Power Sources Stochastic Unit Commitment Using Interval Number Programming

Published:2017-10 Issue:5 Volume:143 Page:04017036
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Zhou Yifan¹,Hu Wei²,Min Yong³,Xu Xialing⁴,Li Yong⁴

Affiliation:

1. Ph.D. Candidate, State Key Laboratory of Power Systems, Dept. of Electrical Engineering, Tsinghua Univ., Beijing 100084, China (corresponding author).

2. Associate Professor, State Key Laboratory of Power Systems, Dept. of Electrical Engineering, Tsinghua Univ., Beijing 100084, China.

3. Professor, State Key Laboratory of Power Systems, Dept. of Electrical Engineering, Tsinghua Univ., Beijing 100084, China.

4. Engineer, Dispatch and Communication Center, Central Branch of State Grid Corporation of China, No. 47, Xudong St., Wuhan 430077, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000465

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4. Hydrological uncertainty and hydropower: New methods to optimize the performance of the plant;Casadei S.;Energy Procedia,2014

5. An efficient MILP approximation for the hydro-thermal unit commitment;Chen Y.;IEEE Trans. Power Sys.,2015

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