Abstract

Reliable energy supply becomes increasingly complex in hybrid energy networks, due to increasing amounts of renewable electricity and more dynamic demand. Accurate modeling of integrated electricity and gas distribution networks is required to quantify operational bottlenecks in these networks and to increase security of supply. In this paper, we propose a hybrid network solver to model integrated electricity and gas distribution networks. A stochastic method is proposed to calculate the security of supply throughout the networks, taking into account the likelihood of events, operational constraints and dynamic supply and demand. The stochastic method is evaluated on a real gas network case study. The calculated security of supply parameters provide insight into the most critical parts of the network and can be used for future network planning. The capabilities of the coupled hybrid energy network simulation are demonstrated on the real gas network coupled to a simplified electricity network. Results demonstrate how combined simulation of electricity and gas networks facilitate the control design and performance evaluation of regional hybrid energy networks.

Highlights

  • Regional energy distribution networks are increasingly supplied by renewable electricity

  • Because of the distributed nature of hybrid network interactions, especially if there are multiple conversion units, network simulation serves as an important performance evaluation tool

  • We presented a stochastic method for evaluating the security of supply in integrated electricity and gas networks

Read more

Summary

Introduction

Regional energy distribution networks are increasingly supplied by renewable electricity. In [3], the implications of different P2G technologies on electricity and gas transmission networks have been assessed Through this integration of electricity and gas grids, additional flexibility is created to reliably deliver the energy to the users. A stochastic method to quantify the security of supply in electricity and gas distribution networks with a large number of geographically distributed constraints, energy suppliers and users is presented.

Methodology
Electricity Network Solver
Gas Network Solver
Gas Network
Hybrid are Network
Hybrid Network Solver
Multicommodity
A P2Gon unit two types of control
Security
Simulation
Security of Supply at 3-bar Pipelines
Expected value of for breaks in the
Blue lineslines indicate the 3-bar
Hybrid
13. Hybrid
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call