Modeling and design of future multi‐energy generation and transmission systems

Abstract

SUMMARYOngoing changes in energy systems offer the opportunity to reconsider the design of our current energy infrastructures. As many new grid participants like combined heat and power plants involve other forms of energy in addition to electricity, the consideration of multi-energy networks represents a useful planning approach. This approach consists in an integrated analysis of combined infrastructures for conversion, transmission and storage of electricity, heat and chemical energy carriers. The integrated operation of systems with different energy carriers offers a new degree of freedom to system planners: energy can be generated, stored, and transmitted in various forms before being distributed to consumers in the adequate form. Different possible solutions for the design of multi-energy systems will exhibit differences in costs and risks. In order to adequately assess these two quantities, mean-variance portfolio theory is applied. Portfolio theory has been used in several cases of electricity generation planning. This paper shows the required modeling adaptations for the analysis of portfolios with multiple energy outputs and illustrates the application of portfolio theory in the context of multi-energy infrastructures. The presented method can be used for the integrated planning of energy systems including the generation, the transmission and the possibility of additional conversion of multiple energy carriers.

Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures

“…The heating system cost (14) includes the investment cost of new gas furnace and the operation cost of existing and new natural gas furnaces. Equation (15) shows the investment and operation costs of new CHP plants.…”

“…An energy hub represents an interface between energy participants (producers, consumers) and various energy system carriers [13], [14]. From a system point of view, an energy hub features input, output, conversion, and storage of multiple energy systems in a functional unit.…”

A linearized energy hub operation model at the presence of uncertainties: An adaptive robust solution approach

“…The objective function and constraints in the second-stage problem given in (9) are similar to those in the deterministic model given in (5) (9) are the dual variables pertaining to constraints (9c) to (9p). These dual variables are denoted by t ft ; …; n up jt ∈ Ξ D , hereafter, for the sake of conciseness.…”

Reliability‐constrained optimal design of multicarrier microgrid

“…Besides, electricity generation from new SSERs often involves other forms of energies too, eg, thermal and chemical. Therefore, the analysis of electric power systems should encompass all forms of energy to identify optimal design, operational strategies, and synergies …”

“…Therefore, the analysis of electric power systems should encompass all forms of energy to identify optimal design, operational strategies, and synergies. 6 Integrated multicarrier energy systems have been considered recently as basic units, 7 energy hub (EH), 6 and MG. 8 Microgrid and EH system propound and share some of the same characteristics in the modelling of future energy systems. So, the study of the papers related to EH can help and contribute to the development and modelling of MG systems.…”