Optimal Energy Management of a SAGD Microgrid Participating in a Volatile Electricity Market
Date
2019-04-30
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Abstract
This study proposes the formulation of an energy management system (EMS) for the optimal scheduling and economic dispatch of a microgrid system incorporating distributed sources of energy generation as well as energy storage. A microgrid located on an Alberta SAGD facility, comprising a waste heat-to-electricity Rankine cycle, gas turbine and energy storage system is considered. An alternate scenario in the Pennsylvania-New Jersey-Maryland market is also considered. The EMS maximizes the net present value (NPV) by utilizing a dynamic real-time optimization (D-RTO) approach. The optimization is discretized into a moving horizon that is updated and solved at each time step. The updates are provided by an EMS forecaster using Bayesian DLM and timeseries ARIMA forecast models. The DLM has the ability to incorporate several exogenous inputs with resultant improvements: accuracies of up to 85% are achieved. The EMS provides optimal economic dispatch for generation and storage units within the energy mix. The microgrid energy management problem is solved for a total simulation time of 1 year, and the system optimal policy is assessed on the basis of its NPV at the end of this period.
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Keywords
Microgrid, Optimization, Electricity Market, SAGD, Forecast, Bayesian DLM
Citation
Omusi, D. (2019). Optimal Energy Management of a SAGD Microgrid Participating in a Volatile Electricity Market (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.