Abstract
This paper presents the operation and optimisation of a smart multi-energy hub system network using the energy hub concept. The case study system network includes integrated solar photovoltaic and thermal power generation units and natural gas combined heat and power unit systems. A demand response-dynamic economic emission optimisation model is applied in the case study and allows for a comparison of energy hub control strategies including the evaluation of economic and environmental criteria and power import between energy hubs. The results show a significant reduction of more than 50% in both the total generation cost and amount of emission when different energy hub control strategies are employed. The results also show that load shifting capabilities of different energy hub loads cannot be ignored as they reduce the electricity bill of energy hub customers.
Highlights
The continuous growth in energy demand, dependency on fossil fuels, integration of distributed generation units and the increasing societal desire to utilize more sustainable and environmentally friendly energy sources represent future challenges for both energy system planning and operation [1, 2]
The case study presented in this paper shows the potential of demand response (DR) strategies and energy hub coordination
380 The demand response - dynamic economic emission dispatch (DR-DEED) optimisation model applied in the case study allows for a comparison of more sustainable energy hub control schemes, including the evaluation of economic, environmental criteria and power import between energy hubs
Summary
The continuous growth in energy demand, dependency on fossil fuels, integration of distributed generation units and the increasing societal desire to utilize more sustainable and environmentally friendly energy sources represent future challenges for both energy system planning and operation [1, 2]. An increase in the number of geographically dispersed energy hub systems connected to the power system network is expected in the near future From this perspective, it is crucial to develop reliable and cost effective operational models of the interconnected energy hub systems to properly dispatch their input energy carriers, which could be characterized by different constraints. In most research studies in the literature, the optimization mathematical models of energy hubs is separated from the energy hub load [14, 15, 16, 17]. A combined demand response - dynamic economic emission dispatch (DR-DEED) strategy for future power system networks in the context of multi-energy hub systems is presented. Both centralised and distributed control strategies are used for coordination of the energy hubs. 90 various energy carriers and converter elements are included in the energy hub, it leads to a general formulation of the multi-input multi-output (MIMO) energy hub system as shown in Eq. below
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