Management of renewable energy production and distribution planning using agent-based modelling

Mohammed, Nooriya A.; Al-Bazi, Ammar

doi:10.1016/j.renene.2020.08.159

Cited by 20 publications

(8 citation statements)

References 35 publications

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“…However, the framework considered only one source of water, which restricts consumers' preference by the resource transfer cost. In, 38 a heuristics algorithm was developed and embedded within an agent‐based model to achieve the best storage in storage devices allocated in different cities with limited energy exchange within cities. The limitation of this heuristic's algorithm is that it did not consider energy exchange between regions.…”

Section: Related Workmentioning

confidence: 99%

“…This work presents an improved heuristics algorithm that minimizes the impact of energy shortages across different regions rather than cities, considering surpluses and shortages of energy at each region and making energy exchange between regions possible. The work extends that of 38 by presenting an agent‐based model that includes a different purpose, structure, and functionality heuristics algorithm than presented in 38 for strategic planning and distribution of energy to support any region struggling to satisfy its energy requirements. The proposed algorithm should also assist any region short of electricity to satisfy its demand by receiving energy from one of its possible neighbor regions.…”

Section: Related Workmentioning

confidence: 99%

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A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources

Mohammed

Al-Bazi

2021

Int J Energy Res

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Summary Recent work on the management of renewable energy sources focuses on developing innovative tools and techniques to control the different behaviours of energy generation systems (eg, the intermittent production of wind power). These tools contribute to achieving a proper balance between energy supply and consumer demand and guarantee a sustainable energy level in storage devices that can face potential generation shortages. In contrast, previous studies mainly focused on stimulating consumer response to market prices so as to rationalise consumption, especially during peak periods. This study investigates the impact of supplier decisions about using different renewable energy sources on the distribution planning and control of energy for the best consumer demand satisfaction and achieving a sustainable energy level in different located storage devices. A Multi Agent‐Based Heuristic Optimisation model is developed to deliver this aim. The heuristic optimisation part of this model is proposed to optimise the energy level across differently located storage devices. It also guarantees the best energy exchange between regions at the strategic planning level. A sensitivity analysis study is conducted to verify the behaviour of the proposed model towards various demand levels, followed by a comparison study to justify the proposed agent‐based heuristic model's superiority. The results highlight the impact of using intermittent renewable sources including solar, wind, hydro and storage devices on energy production, control and distribution. In addition, a sustainable level of storage in devices placed at different locations is achieved by optimising the energy storage operation. This sustainable storage aids any insufficient energy generated from intermittent sources to satisfy consumer requirements. The best energy exchange between regions is also presented.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources

Mohammed

Al-Bazi

2021

Int J Energy Res

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“…Waste resource utilization and climate change are the most compelling problems of today's world [1]. Therefore, finding and exploiting alternative energy sources has become a hot topic in the energy and environmental research fields.…”

Section: Introductionmentioning

confidence: 99%

Understanding of the oxygen uncoupling characteristics of Cu Fe composite oxygen carriers for chemical-looping gasification

Wang

et al. 2021

Fuel Processing Technology

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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“…The problem with these advances is that this type of system introduces an added difficulty in the power system management since they have a strong dependence on the meteorology [ 2 , 3 ] and the mobility needs of the users [ 4 , 5 ]. This uncertainty and variability, together with its increasing deployment of this kind of system, is creating problems due to the overage of the distribution line power capacity.…”

Section: Introductionmentioning

confidence: 99%

OpenADR and Agreement Audit Architecture for a Complete Cycle of a Flexibility Solution

Parejo

García

Personal

et al. 2021

Sensors

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Nowadays, the presence of renewable generation systems and mobile loads (i.e., electric vehicle) spread throughout the distribution network is increasing. The problem is that this type of system introduces an added difficulty since they present a strong dependence on the meteorology and the mobility needs of the users. This problem forces the distribution system operators to seek tools that make it possible to balance the relationship between consumption and generation. In this sense, automated demand response systems are an appropriate solution that allow the operator to request specific reductions in customers’ consumption, offering a discount to the customer and avoiding network congestion. This paper analyzes the implementation and architecture of a demand response solution based on OpenADR standard and its possible integration with a building management system through a use case. As will be analyzed, a key part of the architecture is the measurement system based on smart meters acting as sensors. This is the base of the auditing system which makes it possible to verify compliance with the consumption reduction agreements. Additionally, this study is completed with a parallel auditing system which makes it possible to verify compliance with the consumption reduction agreements. All of the proposed demand response cycle is implemented as a proof of concept in a classroom in the Escuela Politécnica Superior at the University of Seville, which makes it possible to identify the advantages of this architecture in the ambit of connection between distribution network and buildings.

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Management of renewable energy production and distribution planning using agent-based modelling

Cited by 20 publications

References 35 publications

A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources

A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources

Understanding of the oxygen uncoupling characteristics of Cu Fe composite oxygen carriers for chemical-looping gasification

OpenADR and Agreement Audit Architecture for a Complete Cycle of a Flexibility Solution

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