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 con...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.展开更多
文摘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.
