Abstract
The combined heat and power (CHP) plant is one of the emerging technologies of gas-fired units, which plays an important role in reducing environmental pollutants and delivering high energy efficiency. Moreover, the hydrogen energy storage (HES) system with extra power storage from wind turbine via power to hydrogen technology allows the injection of stored energy into the power grid by reverse hydrogen to power services, offsetting in this way the uncertainty of wind power. Consequently, simultaneous usage of CHP and HES units not only makes the maximum use of wind power distribution but also increases flexibility and reduces the operating costs of the entire network. Therefore, this paper proposes an interval optimization technique for managing the uncertainty of wind power generation in the integrated electricity and natural gas (NG) networks considering CHP–HES. Moreover, to enhance the flexibility of the NG network, a linearized Taylor series-based model is proposed for modelling linepack of gas pipelines in the proposed scheduling framework that is formulated mixed-integer linear programming and solved using the Cplex solver. The obtained results indicate that the simultaneous use of CHP–HES in the day-ahead scheduling reduces the operating cost and increases the flexibility of the whole network.
Highlights
The desire to provide safe, efficient, and sustainable energy calls for dramatic changes in energy networks
It is observed that increasing the heating load by 10% raises the power generation of expensive power plants and increases the total operating cost of the system
The results show the impact of congestion of natural gas (NG) network pipelines on the unit commitment by increasing residential gas load
Summary
The desire to provide safe, efficient, and sustainable energy calls for dramatic changes in energy networks. Much research has been done on the optimal operation of HES technology, for example, the authors in [26] proposed the optimal scheduling for an intelligent parking lot (IPL) considering the demand response program and the uncertainty derived from the energy price of the upstream network. Ignoring such constraints cannot completely describe the benefits of HES in optimal scheduling of the integrated energy systems To cover these gaps, here, an interval optimization technique is proposed for the day-ahead scheduling of integrated electricity and NG networks considering HES and CHP units. ∙ Investigating the impact of the HES system on the day-ahead scheduling of integrated electricity and NG networks aiming to minimize the cost of operating costs of both networks with CHP unit and wind energy sources.
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