Reliability assessment for economic dispatch problem in the energy hub concept

RETRACTED: A novel power system scheduling based on hydrogen-based micro energy hub

Two-stage stochastic framework for energy hubs planning considering demand response programs

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.

Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty

Techno-economic system analysis of an offshore energy hub with an outlook on electrofuel applications

Heterogeneous resource management in energy hubs with self-consumption: Contributions and application example

Automatic and linearized modeling of energy hub and its flexibility analysis

Energy hub has received considerable attention worldwide recently because it can help integrate multiple-energy resources including renewables and increase the energy efficiency of the overall energy system. Common researches mainly explore the technical implementation of energy hub considering the coordination of gas, electricity, heat and cooling, while pay little attention to the optimal scheduling problem for energy hub participating in the market-based environment. Therefore, this paper first briefly introduces the general concept and modelling of energy hub including energy conversion and storage unit. Then, an optimal scheduling problem for energy hub, which is considered as a price-taker in power markets is proposed. Several case studies are performed and the numerical results validate the proposed model and show the economic benefit brought by coordination with multiple energy resources.

The growing development of interactive energy systems has motivated a regional energy service company (ESCO) to build energy hubs (EH) that play a substantial role in the coupling of various energy carriers. EH configuration optimization is critical to the economic operation of an ESCO. Therefore, this study proposes a configuration and sizing model that considers the integrated demand response (IDR) to optimize the size of the infrastructures in an EH, and hence minimize the total cost. The EH, which is composed of converters and storage units, is modelled in the matrix form, wherein the operation constraints are expressed in detail. Subsequently, an IDR program based on both responsive thermal and electrical loads is innovatively incorporated into the optimization model, and its effects on EH planning were investigated. By considering several cases: (i) we confirm the effectiveness of the IDR in terms of both cost and capacity reduction on components in the EH; (ii) we show the limited impact of the IDR on the investment cost and equipment configuration, primarily owing to constraints on the maximal total number of dispatching hours; (iii) we observe variations in the impact degree on infrastructure capacity, based on several factors including load characteristics and the electricity–gas price ratio. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

In this paper, a village energy system is coupled with the wide-area energy network based on the energy hub concept. The village is modeled as an isolated energy hub while it could interact with the energy sub-networks including the electrical, and natural gas through the market. The energy demand of village is supplied with renewable resources such as photovoltaic (PV) system and other generation such as combined heat and power (CHP) technologies. The CHP unit is modeled by the part-load performance. In addition, the battery energy storage is presented beside the PV system to damp the intermittent generation of PV and to be utilized in the high prices of the market. The optimal operation problem is solved to maximize the profit from the energy hub operator point of view. The optimization problem is solved with the teaching-learning based optimization (TLBO) method. The results show that the proper interaction of the village energy system with the upstream sub-networks is so affordable for the system operator to increase the profit, in a way that the maximum benefit of village energy system is reached to 3.6456$.

Combined heating and cooling networks with part-load efficiency curves: Optimization based on energy hub concept

Data-driven energy management system for flexible operation of hydrogen/ammonia-based energy hub: A deep reinforcement learning approach

An energy hub is a unit that receives various energy carriers such as electricity and natural gas at its input and, after converting or storing energy, offers different energies at its output such as electricity, heating, and cooling. One of the most cost-effective solutions for utilizing the electricity and gas industry infrastructure is to consider both of them as an integrated system, such as an energy hub in the planning and operation of energy systems. This paper studied the home energy hub model, including a combined heat and power (CHP) system and a grid-connected electric vehicle (PHEV). The operation of the energy hub is considered a linear optimization problem mixed with integers (MILP); Therefore, the goal is to minimize the co-payment cost of a residential house that uses the WOA optimization algorithm. Solving this optimization problem includes the amount of energy carriers entering the hub, the energy converted to CHP, and the charge and discharge of PHEV.

Simply stated, energy hub is a unit which receives different energy carriers such as electricity, natural gas and heat in its input and after some energy converting or storing, delivers the required energy in its output. Considering unique features of energy hubs, these units are of a great concern in many European industrial countries recently in order to supply their energy loads economically. In this case, selecting and commitment of different possible units inside the hub structure and also quality of their operation are one of the most significant problems. In this paper, a completely linear method for simultaneous structural and operational optimization of energy hubs is proposed for multi period given loads and energy costs. Finally the proposed method is used for structural and operational optimization of a hub in order to supply a 24-hour energy load. Obtained results confirm the optimality of using energy hub and proposed method for supplying required loads especially in presence of energy storage elements.

An approach is presented for controlling multiple energy carriers, such as AC and DC electricity, heat, Natural Gas, hydrogen, using the control technique of multi-agent systems. The main elements of a hierarchical control system are given and their integration with the concept of energy hubs is explained. The interactions between the different agents are described. Electric vehicles are considered as mobile resources within the overall system. Finally, the benefits of this approach are laid out.