After the energy bill was announced in 2005, a transition of the national energy system from hydrocarbon to hydrogen had been envisioned. However, safe and convenient refueling and widespread availability of hydrogen from various energy sources are the prerequisites for the development of hydrogen economy. This paper focuses on the design of a hydrogen filling station with on-site hydrogen production by electrolysis of water. The proposed virtual wind farm and on-site installed photovoltaic supply the main and renewable energy for electrolyzers in the station. The utility electricity is served as an auxiliary energy resource to compensate the intermittence of wind and solar. Since the market clearing price (MCP) can change dramatically in the deregulated power market, the station can participate in the power market with a hydrogen-storage tank. Based on the forecasting of wind power with the artificial neural network model and MCP with the statistical model, this paper proposes an optimization algorithm for the hydrogen production schedule and the strategy of power trading to optimize the production costs of the station.
[1]
R. Weron.
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
,
2006
.
[2]
A. Paice,et al.
ADDRESS - Active Demand for the smart grids of the future
,
2008
.
[3]
Vishal Bhan.
Optimization Of Hydrogen Filling Station
,
2007
.
[4]
Wei-Jen Lee,et al.
An Integration of ANN Wind Power Estimation Into Unit Commitment Considering the Forecasting Uncertainty
,
2007,
IEEE Transactions on Industry Applications.
[5]
J. I. Levene,et al.
Production of Hydrogen at the Forecourt Using Off-Peak Electricity: June 2005 (Milestone Report)
,
2007
.
[6]
J. Levene,et al.
Economic Analysis of Hydrogen Production from Wind: Preprint
,
2005
.