A total energy approach to integrated community infrastructure design

Rees, Marc; Wu, Jianzhong; Awad, Bieshoy; Ekanayake, Janaka; Jenkins, Nick

doi:10.1109/pes.2011.6038976

Cited by 11 publications

(10 citation statements)

References 10 publications

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“…(24); DF is the vector of total mismatches as shown in Eq. (25); and J is the Jacobian matrix as shown in Eq. (26).…”

Section: Integrated Electrical-hydraulic-thermal Methodsmentioning

confidence: 99%

“…In these studies, detailed analysis of heat networks was not conducted. The integration of technical design, greenhouse gas emission analysis and financial analysis for integrated community energy systems was modelled by Rees et al [23][24][25]. In these models the electrical, thermal and gas power flows were calculated independently and linked through generating units.…”

Section: Introductionmentioning

confidence: 99%

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Combined analysis of electricity and heat networks

et al. 2016

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“…(24); DF is the vector of total mismatches as shown in Eq. (25); and J is the Jacobian matrix as shown in Eq. (26).…”

Section: Integrated Electrical-hydraulic-thermal Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combined analysis of electricity and heat networks

et al. 2016

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“…In order to accomplish that, the integration of multiple energy systems is necessary, both in the design as well as the analysis phase [6], [16].…”

Section: Multiple Energy Carriers and Energy Hubsmentioning

confidence: 99%

“…These carriers are delivered through different networks, which influence the overall efficiency and characteristics of the local energy system. It has been proposed in [5] and [6] that these energy carriers should be included in the analysis of a local energy system. In [7], a tool for integrating economic dispatch and optimal power flows of electricity and gas at the Grid Supply Points of Great Britain has been presented.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], a tool for integrating economic dispatch and optimal power flows of electricity and gas at the Grid Supply Points of Great Britain has been presented. In [6], an infrastructure planning tool was proposed for the design of energy systems in which heat and electricity carriers are coupled. Electric vehicles have been considered as part of a multiple energy carrier system in [8].…”

Section: Introductionmentioning

confidence: 99%

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Agent-based control of multiple energy carriers and energy hubs

Skarvelis‐Kazakos

Papadopoulos²,

Unda³

2014

IEEE PES Innovative Smart Grid Technologies, Europe

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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.

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Multiple energy carrier optimisation with intelligent agents

et al. 2016

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Multiple energy carrier systems stem from the need to evolve traditional electricity, gas and other energy systems to 10 more efficient, integrated energy systems. An approach is presented, for controlling multiple energy carriers, 11 including electricity (AC or DC), heat, natural gas and hydrogen, with the objective to minimise the overall cost 12 and/or emissions, while adhering to technical and commercial constraints, such as network limits and market 13 contracts. The technique of multi-agent systems (MAS) was used. The benefits of this approach are discussed and 14 include a reduction of more than 50% in the balancing costs of a potential deviation. An implementation of this 15 methodology is also presented. In order to validate the operation of the developed system, a number of experiments 16 were performed using both software and hardware. The results validated the efficient operation of the developed 17 system, proving its ability to optimise the operation of multiple energy carrier inputs within the context of an energy 18 hub, using a hierarchical multi-agent system control structure. It is necessary to evolve traditional electricity, gas and other energy systems to more flexible, integrated energy 34 systems [11], referred to as multiple energy carrier, or multi-carrier systems. The points of interaction between 35 different energy carriers have been described as "energy hubs" [5], [12], which present an integrated approach for 36 optimizing systems with multiple energy carriers, such as electricity, hydrogen, or natural gas networks [13]. Devices 37 are incorporated in an energy hub with the purpose of converting from one carrier to another, e.g. a CHP unit 38 converting natural gas to electricity and heat. Storage elements such as batteries or thermal storage may also be 39 considered. The energy carrier inputs to the energy hub are optimised and controlled in order to supply a given set of 40 energy carrier loads / outputs, thus achieving whole-system optimization [12], [14]. In (1), the backward coupling 41 matrix (Dnm) which links the inputs (Pm) with the outputs (Ln) is shown, as this is a formality that is used in Section 2.2. 42The elements of the Dnm matrix are constructed using the conversion efficiencies of individual devices in the energy 43 hub [12]. Matrix dimensions are × 1, × 1 and × , for Pm, Ln and Dnm respectively. 44

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A total energy approach to integrated community infrastructure design

Cited by 11 publications

References 10 publications

Combined analysis of electricity and heat networks

Combined analysis of electricity and heat networks

Agent-based control of multiple energy carriers and energy hubs

Multiple energy carrier optimisation with intelligent agents

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