An interval optimization based day-ahead scheduling scheme for renewable energy management in smart distribution systems

•A new distribution system scheduling model with significant renewable energy generation is proposed.•The forecasting errors of renewable energy generation and loads are described as interval numbers.•An interval optimization based day-ahead economic scheduling scheme is presented. The integration o...

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Vydané v:Energy conversion and management Ročník 106; s. 584 - 596
Hlavní autori: Chen, Chun, Wang, Feng, Zhou, Bin, Chan, Ka Wing, Cao, Yijia, Tan, Yi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.12.2015
Predmet:
algorithms
Day-ahead scheduling scheme
Distribution management systems
Electric potential
Harmony search algorithm
Interval optimization
Intervals
management systems
Mathematical models
Optimization
Power loss
probability distribution
Renewable energy
Renewable energy generation
renewable energy sources
Scheduling
solar radiation
system optimization
uncertainty
Voltage
wind speed
Interval optimization
Renewable energy generation
Distribution management systems
Day-ahead scheduling scheme
Harmony search algorithm
ISSN:0196-8904, 1879-2227
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Shrnutí:•A new distribution system scheduling model with significant renewable energy generation is proposed.•The forecasting errors of renewable energy generation and loads are described as interval numbers.•An interval optimization based day-ahead economic scheduling scheme is presented. The integration of renewable energy generation into distribution systems has a significant influence on network power losses, nodal voltage profile and security level due to the variability and uncertainty of renewable energy generation. This paper proposes a novel interval optimization based day-ahead scheduling model considering renewable energy generation uncertainties for distribution management systems. In this approach, the forecasting errors of wind speed, solar radiation intensity and loads are formulated as interval numbers so as to avoid any need for accurate probability distribution. In this model, the total nodal voltage deviation and network power losses are optimized for the economic operation of distribution systems with improved power quality. Consequently, the order relation of interval numbers is used to transform the proposed interval optimal scheduling model into a deterministic optimization problem which can then be solved using the harmony search algorithm. Simulation results on 33-node and 119-node systems with renewable energy generation showed that considerable improvements on system nodal voltage profile and power losses can be achieved with multiple interval sources of uncertain renewable energy generation and loads.
Bibliografia:ObjectType-Article-1
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2015.10.014