The Optimal Energy Dispatch of Cogeneration Systems in a Liberty Market

Whei-Min Lin, Chung-Yuen Yang, Chia-Sheng Tu, Hsi-Shan Huang and Ming-Tang Tsai
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Whei-Min Lin: Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 807, Taiwan
Chung-Yuen Yang: Department of Electrical Engineering, National Sun Yat-Sen University, Kaohsiung 807, Taiwan
Chia-Sheng Tu: College of Intelligence Robot, Fuzhou Polytechnic, Fujian 350108, China
Hsi-Shan Huang: College of Intelligence Robot, Fuzhou Polytechnic, Fujian 350108, China
Ming-Tang Tsai: Department of Electrical Engineering, Cheng-Shiu University, Kaohsiung 833, Taiwan

Energies, 2019, vol. 12, issue 15, 1-15

Abstract: This paper proposes a novel approach toward solving the optimal energy dispatch of cogeneration systems under a liberty market in consideration of power transfer, cost of exhausted carbon, and the operation condition restrictions required to attain maximal profit. This paper investigates the cogeneration systems of industrial users and collects fuel consumption data and data concerning the steam output of boilers. On the basis of the relation between the fuel enthalpy and steam output, the Least Squares Support Vector Machine (LSSVM) is used to derive boiler and turbine Input/Output (I/O) operation models to provide fuel cost functions. The CO 2 emission of pollutants generated by various types of units is also calculated. The objective function is formulated as a maximal profit model that includes profit from steam sold, profit from electricity sold, fuel costs, costs of exhausting carbon, wheeling costs, and water costs. By considering Time-of-Use (TOU) and carbon trading prices, the profits of a cogeneration system in different scenarios are evaluated. By integrating the Ant Colony Optimization (ACO) and Genetic Algorithm (GA), an Enhanced ACO (EACO) is proposed to come up with the most efficient model. The EACO uses a crossover and mutation mechanism to alleviate the local optimal solution problem, and to seek a system that offers an overall global solution using competition and selection procedures. Results show that these mechanisms provide a good direction for the energy trading operations of a cogeneration system. This approach also provides a better guide for operation dispatch to use in determining the benefits accounting for both cost and the environment in a liberty market.

Keywords: cogeneration systems; Time-of-Use (TOU); CO 2 emission; Ant Colony 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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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