Load forecasting and dispatch optimisation for decentralised co-generation plant with dual energy storage

Applied Energy(2017)

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摘要
•Open software components for load prediction and rolling horizon CHP plant optimisation are described.•Results indicated that solver overheads increased 380-fold during low heat load periods.•Solving times <1s were regained by considering differing dispatch and unit commitment horizons.•32% cost reductions were observed through balancing market interaction when load prediction inaccuracies were present.•Results indicated costs were significantly more sensitive to prediction accuracy than plant model accuracy.
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关键词
Short term heat and electricity load forecasting,Decentralised Combined Heat and Power (CHP) plant optimisation,Economic dispatch,Unit commitment,Convex optimisation,Mixed Integer Linear Programming (MILP)
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