Multidispatch for Microgrid including Renewable Energy and Electric Vehicles with Robust Optimization Algorithm

Ruifeng Shi, Penghui Zhang, Jie Zhang, Li Niu and Xiaoting Han
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Ruifeng Shi: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Penghui Zhang: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Jie Zhang: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Li Niu: School of Information Resource Management, Renmin University of China, Beijing 100872, China
Xiaoting Han: School of Economics and Management, Beihang University, Beijing 100083, China

Energies, 2020, vol. 13, issue 11, 1-15

Abstract: With the deterioration of the environment and the depletion of fossil fuel energy, renewable energy has attracted worldwide attention because of its continuous availability from nature. Despite this continuous availability, the uncertainty of intermittent power is a problem for grid dispatching. This paper reports on a study of the scheduling and optimization of microgrid systems for photovoltaic (PV) power and electric vehicles (EVs). We propose a mathematical model to address the uncertainty of PV output and EV charging behavior, and model scheduling optimization that minimizes the economic and environmental cost of a microgrid system. A semi-infinite dual optimization model is then used to deal with the uncertain variables, which can be solved with a robust optimization algorithm. A numerical case study shows that the security and stability of the solution obtained by robust optimization outperformed that of stochastic optimization.

Keywords: electric vehicle; microgrid; photovoltaic; robust optimization; stochastic optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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