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.
Highlights
Complementary operation between multiple energy sources is conducive to improving the efficiency of renewable energy utilization
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
The simulation results show that the optimized scheduling scheme can achieve the consumption of renewable energy, and the TOU electricity price improves the economics of the operation of the integrated energy system
Summary
Complementary operation between multiple energy sources is conducive to improving the efficiency of renewable energy utilization. The energy center modeling method is proposed to integrate energy systems such as electric power, natural gas, and heating networks for modeling. The gas-electric network considering wind power uncertainty is proposed, the commercial application of P2G technology enables energy to flow in both directions between the power system and the natural gas system, thereby increase the flexibility of system operation [21,22]. It is important to coordinate the relationship between the renewable energy system and gas system, and ensure the economical operation of the system with high wind power acceptance capability, which is a key issue facing the integrated energy system with P2G. Taking the minimum energy system benefits an integrated system with P2G equipment is based difference between power generation cost taking and carbon emissiondifference cost as the optimization on an energy centersystem modeling approach.
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