Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network

Ahmadi, Mikaeel; Adewuyi, Oludamilare Bode; Danish, Mir Sayed Shah; Mandal, Paras; Yona, Atsushi; Senjyu, Tomonobu

doi:10.1016/j.ijepes.2020.106458

Cited by 77 publications

(38 citation statements)

References 27 publications

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“…Then the formed requests for heat energy (3) or for electrical energy (4) are sent to the agent-manager of active consumers. After that, a notification is received from the agent-manager of active consumers, which indicates the sources of distributed generation participating in the energy supply (5). The possibility of using these energy sources is checked and the corresponding data is sent to the electric boiler (7) or solar panels (8) located at the consumer.…”

Section: Multiagent Modelmentioning

confidence: 99%

“…Through technical and socio-economic research as well as practical experience, it can be concluded that the integration and active participation of consumers is critical for smart energy systems. Existing Smart Grid solutions have shown that coordinated control of distributed generation and consumption facilities can help ensure reliable and economical operation of the system [3][4][5][6]. Consumers who are proactive in seeking a great deal and advocating for their interests can benefit from lower energy prices or the opportunity to improve service quality.…”

Section: Introductionmentioning

confidence: 99%

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Application of a multiagent approach for optimal load distribution between sources in an integrated energy system taking into account the operation of active consumers

2021

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In the context of the energy transition, research on the creation of integrated energy systems and their control is an actual task. They combine a significant share of renewable energy sources, contribute to the overall efficiency of the system, and enable active consumers to participate in the energy supply process. At the same time, in connection with the growing capacity of distributed energy sources, new problems arise related to the operation of distribution networks and difficulties in adapting the operation of active consumers in the centralized energy system. Active consumers can regulate their energy consumption by distributing the load between centralized and distributed energy sources, and as a result, they can provide flexibility, maneuverability in the operation of the system and increase the efficiency of its redundancy. To organize the work of active consumers in an integrated energy system, a multiagent approach is used. This approach is widely used by researchers to solve various practical tasks. Allows us to represent active consumers in the form of agents with an individual behavior algorithm and organize their interaction with the energy system to ensure optimal energy supply. The proposed mathematical model for finding the optimal composition of generating capacity takes into account the structural organization of centralized and distributed energy sources, as well as the participation of active consumers in the process of energy supply. Modeling of an integrated energy system and carrying out a computational experiment based on multiagent technologies are performed in the AnyLogic software environment.

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Section: Multiagent Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of a multiagent approach for optimal load distribution between sources in an integrated energy system taking into account the operation of active consumers

2021

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“…Accordingly, a key challenge in realising cost-effective electric power systems with high penetrations of nondispatchable (variable) RESs is the temporal discrepancy between renewable power generation and peak power demand [6]. Addressing this challenge in grid-connected renewable and sustainable energy systems (RSESs) requires an optimal trade-off between imported power demand from the upstream grid and reduced peak demand through demand-side management (DSM) strategies for cost-optimal operations [7].…”

Section: Introductionmentioning

confidence: 99%

Modelling utility-aggregator-customer interactions in interruptible load programmes using non-cooperative game theory

Mohseni

Brent

Kelly

et al. 2021

International Journal of Electrical Power & Energy Systems

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Aggregator-activated demand response (DR) is widely recognised as a viable means for increasing the flexibility of renewable and sustainable energy systems (RSESs) necessary to accommodate a high penetration of variable renewables. To this end, by acting as DR aggregators and offering energy trading capabilities to smaller customers, energy retailers unlock additional sources of demand-side flexibility to ensure the cost-optimal operation of RSESs. Accordingly, a growing body of literature has highlighted the ways in which non-cooperative game theory could be used to reduce the gaps between modelled and real-world results for aggregator-mediated DR schemes. This paper aims to contribute to the trends of giving a realistic grounding to research on distributed DR-integrated energy scheduling by using insights from non-cooperative game theory to determine: (1) the optimal trade-off between importing electricity and utilising DR capacity in grid-tied RSESs, (2) the impact of the price elasticity of DR supply of different customer classes -especially, new sources of electricity demand, such as e-mobilityon the system-level dispatch of DR resources, and (3) the financial implications of harnessing the flexibility potential of a large number of end-consumers across different sectors. Accordingly, the principal goal of the paper is to develop an operational planning optimisation model that can be directly applied to real-world aggregatormediated, market-based demand-side flexibility provisioning domains. To this end, this paper presents the first DR elasticity-aware, non-cooperative game-theoretic DR scheduling model that: (1) yields the best compromise solution between imported power and dispatched DR resources from the utility's perspective, (2) characterises the utility-aggregator-customer interactions during the market-based DR trade process with several customer categories involved, and (3) disaggregates the total sectoral load on the system to individual end-consumers, which has potential implications for pre-feasibility and business case assessments. The application of the model to a conceptual micro-grid for the town of Ohakune, in New Zealand, demonstrates its effectiveness in reducing the daily system operational cost by ~66% and ~47% on a representative summer and winter day, respectively. Importantly, the paper provides statistically significant evidence supporting that activating the flexibility potential of small-to medium-scale end-consumers through specifically defined third-party aggregators in a market-based approach -that is aware of strategic interactions among instrumentally rational economic agents involved in the dispatch and delivery of DR resources -plays a significant role in the cost-optimal transition to 100%-renewable electricity generation systems within the smart grid paradigm.

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“…La necesidad de sostenibilidad energética y ambiental ha alentado el uso de energías renovables para atenuar las emisiones de gases de efecto invernadero, cumpliendo así con el acuerdo climático de París [1]. Sin embargo, se requiere de una planificación adecuada para la inserción de energía renovable a las redes de distribución, cumpliendo satisfactoriamente con los criterios tecnoeconómicos para el correcto funcionamiento de una red de distribución, logrando así la mejora de la estabilidad de voltaje, aumento del perfil de voltaje y reducción de pérdidas [1]. Este objetivo se lo puede lograr únicamente con una correcta planificación y gestionando los desafíos técnicos que conlleva esta implementación de generación de corriente continua en las redes de distribución.…”

Section: Introductionunclassified

“…Los diseños y configuraciones óptimos son transcendentales a la hora de implantar nuevas tecnologías de energías renovables en el sistema eléctrico [1]. Con el desarrollo de nuevas tecnologías para redes de alta y baja tensión, se están haciendo pruebas con el uso de corriente continua en redes de media tensión (MT), ya que proporcionan flexibilidad y controlabilidad a las redes de distribución [2].…”

Section: Introductionunclassified

Location of solar panels to the medium voltage direct current distribution network considering DC loads

Minchala¹,

Valenzuela²

2021

ITECKNE

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The penetration of renewable energies of Direct Current (DC) to the Distribution Network of Direct Current of Medium Voltage (MVDC) is already a reality. Therefore, extensive planning is required for its location in the electrical network. The implementation of this energy brings great advantages to the system since it contributes to the reduction of losses, improvement of the voltage profile, greater reliability in the system since there is generation of the photovoltaic system installed and of the distribution company. This article was carried out through a bibliographic review of the bases IEEE Xplore, Science Direct, Taylor & Francis and related academic knowledge, identifying several positive and negative aspects of this new reality of renewable energy, in the same way it was analyzed the Energy Storage System (BESS) and the impact of Electric Vehicles (EV) on distribution networks.

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Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network

Cited by 77 publications

References 27 publications

Application of a multiagent approach for optimal load distribution between sources in an integrated energy system taking into account the operation of active consumers

Application of a multiagent approach for optimal load distribution between sources in an integrated energy system taking into account the operation of active consumers

Modelling utility-aggregator-customer interactions in interruptible load programmes using non-cooperative game theory

Location of solar panels to the medium voltage direct current distribution network considering DC loads

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