Abstract
“World Energy Outlook 2021” has mentioned the fact that with the current pledges announced, the 2050 net-zero carbon emission target would not be realized. To further improve energy efficiency, energy integration will be important. Therefore, this paper introduced virtual power plant (VPP) and power to gas (P2G) technology to analyze the improvement of energy integration. Firstly, the structure of VPP connected with P2G is proposed, and the physical output model is constructed. Secondly, combined with carbon emission and economic operation objectives, a multi-objective operation optimization model of VPP considering electrical interconnection is constructed, and the solution idea of the model is put forward. Finally, through the case study, the contribution of P2G, DR and GST is proven. With DR, P2G involved in VPP, the goal of carbon emission reduction can be achieved. In addition, the example also proves that carbon trading has a positive effect on energy efficiency and generation uncertainty improving.
Highlights
Considering Net-Zero CarbonThe centralized development of fossil energy has brought a large number of greenhouse gas emissions, resulting in prominent global environmental contradictions
Due to the reverse distribution of renewable energy output, excess power can be stored in energy storage system (ESS) in valley hours, and ESS discharges the power in peak hours, which can reduce the generation pressure of conventional units and improve power curtailment as well
Considering the power driving the P2G device mainly comes from the excess wind power at nighttime, which is calculated in wind power plant (WPP) operation cost, the power cost for P2G only means the cost of CO2
Summary
The centralized development of fossil energy has brought a large number of greenhouse gas emissions, resulting in prominent global environmental contradictions. In literature [6], combined with the operation characteristics of distributed generators and energy storage, a coordinated dispatching model of VPP based on revenue maximization is constructed, analyzing the contribution of energy storage and demand response. Proposed an optimal dispatching model of VPP based on the combination of wind, solar, thermal power, power storage and demand response. In literature [18], combined with different control modes of VPP and considering the uncertainty of power generation and the load, a multi-objective optimal operation model under multiple scenarios is constructed. The existing research has focused on the operation mode and control optimization of VPP and considered the uncertainty of renewable energy output in optimal dispatching, but the current policy development requirement is not well-combined. This paper provides certain reference for the future development of VPP under China’s carbon emission target
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