Management of public water supply to reduce energy cost and improve wind power uptake
- Resource Type
- Conference
- Authors
- Kernan, Ronan; Liu, Xueqin Amy; McLoone, Sean; Fox, Brendan
- Source
- 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Environment and Electrical Engineering (EEEIC), 2016 IEEE 16th International Conference on. :1-6 Jun, 2016
- Subject
- Components, Circuits, Devices and Systems
Engineering Profession
Power, Energy and Industry Applications
Reservoirs
Wind power generation
Switched-mode power supply
Wind forecasting
Switches
Optimization
Demand Side Management
Real Time Pricing
Genetic Algorithms
Wind Power
optimisation
water pumping
- Language
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.