A Robust Scheduling Optimization Model for an Integrated Energy System with P2G Based on Improved CVaR

Zhongfu Tan, Qingkun Tan, Shenbo Yang, Liwei Ju and Gejirifu De
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Zhongfu Tan: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Qingkun Tan: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Shenbo Yang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Liwei Ju: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Gejirifu De: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Energies, 2018, vol. 11, issue 12, 1-15

Abstract: The uncertainty of wind power and photoelectric power output will cause fluctuations in system frequency and power quality. To ensure the stable operation of the power system, a comprehensive scheduling optimization model for the electricity-to-gas integrated energy system is proposed. Power-to-gas (P2G) technology enhances the flexibility of the integrated energy system and the power system in absorbing renewable energy. In this context, firstly, an electricity-to-gas optimization scheduling model is proposed, and the improved Conditional Value at Risk ( CVaR ) is proposed to deal with the uncertainty of wind power and photoelectric power output. Secondly, taking the integrated energy system with the P2G operating cost and the carbon emission cost as the objective function, an optimal scheduling model of the multi-energy system is solved by the A Mathematical Programming Language (AMPL) solver. Finally, the results of the example illustrate the optimal multi-energy system scheduling model and analyze the economic benefits of the P2G technology to improve the system to absorb wind power and photovoltaic power. The simulation calculation of the proposed model demonstrates the necessity of taking into account the operating cost of the electrical gas conversion in the integrated energy system, and the feasibility of considering the economic and wind power acceptance capabilities.

Keywords: integrated energy system; risk assessment; improved CVaR; P2G; robust 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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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