A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach

Tengfei Ma, Junyong Wu, Liangliang Hao, Huaguang Yan and Dezhi Li
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Tengfei Ma: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Junyong Wu: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Liangliang Hao: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Huaguang Yan: Electric Power Research Institute of China, Haidian District, Beijing 100085, China
Dezhi Li: Electric Power Research Institute of China, Haidian District, Beijing 100085, China

Energies, 2018, vol. 11, issue 10, 1-19

Abstract: This paper proposes a real-time pricing scheme for the demand response management between one energy provider and multiple energy hub operators. A promising energy trading scenario has been designed for the near future integrated energy system. The Stackelberg game approach was employed to capture the interactions between the energy provider (leader) and energy consumers (follower). A distributed algorithm was proposed to derive the Stackelberg equilibrium, then, the best strategies for the energy provider and each energy hub operator were explored in order to maximize their benefits. Simulation results showed that the proposed method can balance the energy supply and demand, improve the payoffs for all players, as well as smooth the aggregated load profiles of all energy consumers.

Keywords: real-time pricing; demand response; load balance; Stackelberg game; integrated energy system (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 (16)

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