Multiobjective CVaR Optimization Model and Solving Method for Hydrothermal System Considering Uncertain Load Demand

In order to solve the influence of load uncertainty on hydrothermal power system operation and achieve the optimal objectives of system power generation consumption, pollutant emissions, and first-stage hydropower station storage capacity, this paper introduced CVaR method and built a multiobjective...

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Vydané v:	Mathematical problems in engineering Ročník 2015; číslo 2015; s. 1 - 10
Hlavní autori:	Qin, Chao, Li, Huan-huan, Ju, Liwei, Tan, Zhongfu, Peng, Daoxin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2015 John Wiley & Sons, Inc
Predmet:	Algorithms Confidence intervals Constraints Decision theory Electric power Electrical loads Energy consumption Engineering Entropy Fuzzy Fuzzy logic Fuzzy set theory Hydroelectric power stations Hydrothermal systems Integer programming Linear programming Mathematical analysis Mathematical models Methods Mixed integer Multiple objective analysis Neural networks Objectives Operation scheduling Optimization Optimization models Pollutants Random variables Risk levels Scheduling Storage capacity Thermal power plants Thermal simulation China
ISSN:	1024-123X, 1563-5147
On-line prístup:	Získať plný text
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