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- W2521736362 abstract "In this paper we develop a framework to support the introduction of renewable energy generation and carbon emission constraints into a defined electric power network, and the key operational decisions regarding its configuration. We describe and model the major components of a hybrid renewable energy system (HRES), including renewable energy sources (solar and wind), fossil fuel generators, transmission/distribution, power storage, energy markets, and end-customer demand. Our methodology involves a conceptual diagram notation for power network topology, combined with a formal mathematical model that describes the HRES optimization framework. We introduce environmental goals as constraints to the model, based on emissions restrictions dictated by a policy-maker extraneous to the model. We then proceed to implement the HRES optimization problem solution through a mixed-integer linear programming (MILP) model by leveraging IBM Optimization Programming Language (OPL) CPLEX Studio. Lastly, we develop a proof-of-concept to demonstrate the feasibility of the model." @default.
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- W2521736362 date "2016-09-20" @default.
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- W2521736362 title "Decision guidance framework to support operations and analysis of a hybrid renewable energy system" @default.
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- W2521736362 doi "https://doi.org/10.1080/23270012.2016.1229140" @default.
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