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

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• 作者：Michael Short ; ^{m.short@tees.ac.uk} ; Tracey Crosbie ; Muneeb Dawood ; Nashwan Dawood
• 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)
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：186
• 期：part_P3
• 页码：304-320
• 全文大小：2292 K
• 卷排序：186

文摘

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 <1 s 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.