Energy Management of Combined Cooling, Heating and Power Micro Energy Grid Based on Leader-Follower Game Theory

Kaijun Lin, Junyong Wu, Di Liu, Dezhi Li and Taorong Gong
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Kaijun Lin: School of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing 100044, China
Junyong Wu: School of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing 100044, China
Di Liu: School of Electrical Engineering, Beijing Jiaotong University, Haidian District, Beijing 100044, China
Dezhi Li: China Electric Power Research Institute Limited Company, Haidian District, Beijing 100192, China
Taorong Gong: China Electric Power Research Institute Limited Company, Haidian District, Beijing 100192, China

Energies, 2018, vol. 11, issue 3, 1-21

Abstract: In this paper, we consider a general model and solution algorithm for the energy management of combined cooling, heating, and power micro energy grid (MEG) under the game theory framework. An innovative dynamic leader-follower game strategy is proposed in this paper to balance the interactions between MEG and user. We show that such game between MEG and user has a unique Nash equilibrium (NE), and in order to quantify the user’s expenditure and dissatisfaction, we model them and adopt the fuzzy bi-objective algorithm. For more details in the proposed game model, the MEG leads the game by deciding energy sales prices and optimizing the power, cooling and heating outputs according to the user’s load plan to maximize its own profit. With the prices being released by MEG, user’s adjustment of energy consumption follows and is again fed to MEG. In practice, we initialize simulations with daily loads of a typical community. As the numerical results demonstrate, MEG is proficient in consumption capacity of renewable energy and energy optimization. It also shows that the user achieves his economic optimum with experience of energy usage taken into account.

Keywords: micro energy grid; energy management; leader-follower game; user dissatisfaction; fuzzy bi-objective algorithm (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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