Management of public water supply to reduce power cost and improve wind power uptake


Autoria(s): Kernan, Ronan; Liu, Xueqin; McLoone, Sean; Fox, Brendan
Data(s)

01/09/2016

Resumo

This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.

Identificador

http://pure.qub.ac.uk/portal/en/publications/management-of-public-water-supply-to-reduce-power-cost-and-improve-wind-power-uptake(a0845375-b23a-4773-b704-df76c533b87d).html

http://dx.doi.org/10.1109/EEEIC.2016.7555810

Idioma(s)

eng

Direitos

info:eu-repo/semantics/closedAccess

Fonte

Kernan , R , Liu , X , McLoone , S & Fox , B 2016 , Management of public water supply to reduce power cost and improve wind power uptake . in 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) . DOI: 10.1109/EEEIC.2016.7555810

Tipo

contributionToPeriodical