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

• Published in: Applied sciences Vol. 9; no. 3; p. 537
• Main Authors: Tang, Jianlin, Yu, Tao, Zhang, Xiaoshun, Li, Zhuohuan, Chen, Junbin
• Format: Journal Article
• Language: English
• 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

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...