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

Energies

Zhongfu Tan¹  Shenbo Yang¹  Gejirifu De¹  Liwei Ju¹  Qingkun Tan¹ 

[1] School of Economics and Management, North China Electric Power University, Beijing 102206, China;

关键词: integrated energy system;    risk assessment;    improved CVaR;    P2G;    robust optimization;   

DOI  :  10.3390/en11123437

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown