Coordination of interdependent natural gas and electricity systems based on information gap decision theory

TL;DR

This paper presents a robust decision-making framework based on information gap theory for coordinating natural gas and electricity systems under market price uncertainty, demonstrated on a 20-node NG network and IEEE RTS 24-bus.

Contribution

It introduces a steady-state integrated model considering electricity market price uncertainty using information gap decision theory, enhancing coordination of interdependent systems.

Findings

The method effectively manages price fluctuations and system uncertainties.

Application on test networks shows improved economic operation.

The approach provides a robust scheduling solution for interconnected systems.

Abstract

The interactions of the natural gas (NG) network and the electricity system are increased by using gas-fired generation units, which use NG to produce electricity. There are various uncertainty sources such as the forced outage of generating units or market price fluctuations that affect the economic operation of both NG and electricity systems. This study focuses on the steady-state formulation of the integrated NG transmission grid and electricity system by considering the uncertainty of electricity market price based on information gap decision theory. The higher and lower costs than the expected cost originated from the fluctuations of electricity market price are modelled by the robustness and opportunity functions, respectively. The objective is to minimise the cost of zone one while satisfying the constraints of two interdependent systems, which can obtain revenue from selling power to its connected zones in short-term scheduling. The capability of the proposed method is demonstrated by applying it on a 20-node NG network and IEEE RTS 24-bus. The proposed short-term coordination between NG and electricity infrastructures is solved and discussed.