NEWS & EVENTS

Operating strategies for a GB integrated gas and electricity network considering the uncertainty in wind power forecast

Jan 15, 2014

Abstract

In many power systems, in particular in Great Britain (GB), significant wind generation is anticipated and gas-fired generation will continue to play an important role. Gas-fired generating units act as a link between the gas and electricity networks. The variability of wind power is, therefore, transferred to the gas network by influencing the gas demand for electricity generation. Operation of a GB integrated gas and electricity network considering the uncertainty in wind power forecast was investigated using three operational planning methods: deterministic, two-stage stochastic programming, and multistage stochastic programming. These methods were benchmarked against a perfect foresight model which has no uncertainty associated with the wind power forecast. In all the methods, thermal generators were controlled through an integrated unit commitment and economic dispatch algorithm that used mixed integer programming. The nonlinear characteristics of the gas network, including the gas flow along pipes and the operation of compressors, were taken into account and the resultant nonlinear problem was solved using successive linear programming. The operational strategies determined by the stochastic programming methods showed reductions of the operational costs compared to the solution of the deterministic method by almost 1%. Also, using the stochastic programming methods to schedule the thermal units was shown to make a better use of pumped storage plants to mitigate the variability and uncertainty of the net demand.

Operating strategies for a GB integrated gas and electricity network considering the uncertainty in wind power forecast. IEEE Transaction on Sustainable Energy. 5(1) January 2014.

Authors

M. Qadrdan, J. Wu, N. Jenkins, J. Ekanayake.

LATEST NEWS

DAFNI’s Official Launch:  Bridging the physical divide with digital

DAFNI’s Official Launch: Bridging the physical divide with digital

“Following 4 years of intensive development, we are excited to have this opportunity to formally release the production version of the DAFNI platform and invite all to really start to use ... read more

Dr Edward Oughton awarded Runner Up in prestigious Lloyd’s 2021 Science of Risk awards (Cyber category) 2021

Dr Edward Oughton awarded Runner Up in prestigious Lloyd’s 2021 Science of Risk awards (Cyber category) 2021

The prize was for Dr Oughton’s research quantifying the vulnerability of electricity networks from cyberattacks.  The prestigious Lloyd’s Science of Risk prizes are awarded to esteemed ... read more

Predicting infrastructure demand using satellite imagery and machine learning

Predicting infrastructure demand using satellite imagery and machine learning

A lack of available demand data can hinder infrastructure assessment.  To better identify the ‘digital divide’ in telecoms demand, it is possible to predict cell phone adoption and spending using read more

RESEARCH THEMES

ENERGY
TRANSPORT
WATER
DIGITAL COMMUNICATIONS
DEMOGRAPHICS
URBAN DEVELOPMENT
ECONOMICS
INFRASTRUCTURE
GOVERNANCE
NISMOD
RISK AND
RESILIENCE
RESEARCH SOFTWARE ENGINEERING
DATABASES