Reliable Energy Systems Design for Continuous Processes incorporating Renewables Generation
| Autor: | Eric S. Fraga, Oluwamayowa O. Amusat, Paul R. Shearing |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Engineering business.industry 020209 energy 02 engineering and technology Multi-objective optimization Renewable energy Reliability engineering Nonlinear system Electric power system Electricity generation 0202 electrical engineering electronic engineering information engineering Systems design Capital cost business Differential algebraic equation |
| DOI: | 10.1016/b978-0-444-63428-3.50083-7 |
| Popis: | The variability challenge inherent in the design of renewables-dependent integrated energy systems for heat and power supply to large-scale continuous mining operations is addressed. A superstructure containing two generation and three storage alternatives is considered. Model equations are developed for the components of the energy system, leading to a nonlinear system of differential algebraic equations. Two objectives are considered: cost minimisation and reliability maximisation. The capital cost is calculated from the capacities of the generation and storage units. Reliability is the ability of a power system to deliver energy in the quantity and with the frequency required and is represented by the loss of power supply probability (LPSP), calculated by the evaluation of design performance for a set of scenarios. The model is solved with a multi-objective genetic algorithm to obtain a Pareto-optimal set of designs which trade-off between both objectives. The performance of a typical design under poor renewable input conditions is discussed. |
| Databáze: | OpenAIRE |
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