Multi-Searcher Optimization for the Optimal Energy Dispatch of Combined Heat and Power-Thermal-Wind-Photovoltaic Systems

This paper proposes a novel multi-searcher optimization (MSO) algorithm for the optimal energy dispatch (OED) of combined heat and power-thermal-wind-photovoltaic systems. The available power of wind turbine (WT) units and photovoltaic (PV) units is approximated with the probability density function...

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Bibliographic Details
Published inApplied sciences Vol. 9; no. 3; p. 537
Main Authors Tang, Jianlin, Yu, Tao, Zhang, Xiaoshun, Li, Zhuohuan, Chen, Junbin
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 05.02.2019
Subjects
Algorithms
Alternative energy sources
chaos theory
Cogeneration
complex energy system
Computer simulation
Convergence
double-layer searcher
Electricity
Electricity distribution
Energy resources
Irradiance
Mathematical models
Methods
multi-searcher optimization
Operating costs
optimal energy dispatch
Optimization
Optimization algorithms
Photovoltaics
Probability density functions
Probability distribution
Random variables
Solar cells
Turbines
Wind power
Wind speed
China
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Summary:This paper proposes a novel multi-searcher optimization (MSO) algorithm for the optimal energy dispatch (OED) of combined heat and power-thermal-wind-photovoltaic systems. The available power of wind turbine (WT) units and photovoltaic (PV) units is approximated with the probability density functions of wind speed and solar irradiance, respectively. The chaos theory is used to implement a wide global search, which can effectively avoid a low-quality local optimum for OED. Besides, a double-layer searcher is designed to guarantee fast convergence to a high-quality optimal solution. Finally, three benchmark functions and an energy system with 27 units are used for testing the performance of the MSO compared with nine other frequently used heuristic algorithms. The simulation results demonstrate that the proposed technique not only can solve the highly nonlinear, non-smooth, and non-convex OED problem of an energy system, but can also achieve a superior performance for the convergence speed and the optimum quality.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9030537