Distributed Charging Prioritization Methodology Based on Evolutionary Computation and Virtual Power Plants to Integrate Electric Vehicle Fleets on Smart Grids

Guerrero, Jaysson; Personal, Enrique; García, Antonio López; Parejo, Antonio; Pérez, Francisco; León, Carlos

doi:10.3390/en12122402

Cited by 14 publications

(10 citation statements)

References 50 publications

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“…In this sense, if the expression is not yet in the database, the decomposition engine checks the dependency between variables and the number of steps necessary to calculate the result. To reduce the number of steps, the decomposition engine applies a particle swarm optimization (PSO) [16] algorithm. The objective of using a genetic algorithm is to find out an equivalent logic expression with a small number of steps, reducing the dependency between variables and operations.…”

Section: Logical Decomposition Enginementioning

confidence: 99%

Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources

Guerrero¹,

Personal²,

Parejo³

et al. 2020

Application of Expert Systems - Theoretical and Practical Aspects

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Nowadays, the proliferation of heterogeneous data sources provided by different research and innovation projects and initiatives is proliferating more and more and presents huge opportunities. These developments create an increase in the number of different data sources, which could be involved in the process of decisionmaking for a specific purpose, but this huge heterogeneity makes this task difficult. Traditionally, the expert systems try to integrate all information into a main database, but, sometimes, this information is not easily available, or its integration with other databases is very problematic. In this case, it is essential to establish procedures that make a metadata distributed integration for them. This process provides a "mapping" of available information, but it is only at logic level. Thus, on a physical level, the data is still distributed into several resources. In this sense, this chapter proposes a distributed rule engine extension (DREE) based on edge computing that makes an integration of metadata provided by different heterogeneous data sources, applying then a mathematical decomposition over the antecedent of rules. The use of the proposed rule engine increases the efficiency and the capability of rule-based expert systems, providing the possibility of applying these rules over distributed and heterogeneous data sources, increasing the size of data sets that could be involved in the decision-making process.

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Section: Logical Decomposition Enginementioning

confidence: 99%

Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources

Guerrero¹,

Personal²,

Parejo³

et al. 2020

Application of Expert Systems - Theoretical and Practical Aspects

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [13], a method of optimising vehicle charging mode in the VPP environment is proposed, which considers vehicle aggregate storage availability and vehicle redistribution. Then, Guerrero et al [14] based on the concept of a VPP, a charging priority scheme for electric vehicles is proposed. However, for example, in the analysis of VPP, an electric vehicle is used as the moving load in the VPP, which ignores the role of electric vehicle in reverse transmission to the grid.…”

Section: Nomenclaturementioning

confidence: 99%

Static–dynamic hybrid sequential VPP network analysis

Yue

Zhang

2020

IET Generation, Transmission & Distribution

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“…In this way, a VEN could manage a system with a VTN that manages a Smart Building or a complete power grid, simplifying the downstream control and regulation of all the available resources. This concept is similar to the concept of Virtual Power Plants (VPPs) [14,15], which simplifies the management of the power grid. A VPP may play a role as a VEN and VTN (at the same time, like intermediate node in Figure 2) but, in this architecture, could include only final nodes with only one role (VEN, in case of leaf nodes, and VTN, in case of root nodes).…”

Section: Openadr Overviewmentioning

confidence: 99%

Flexibility Services Based on OpenADR Protocol for DSO Level

Guerrero

Personal

García

et al. 2020

Sensors

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Nowadays, Distribution System Operators are increasing the digitalization of their smart grids, making it possible to measure and manage their state at any time. However, with the massive eruption of change-distributed generation (e.g., renewable resources, electric vehicles), the grid operation have become more complex, requiring specific technologies to balance it. In this sense, the demand-side management is one of its techniques; the demand response is a promising approach for providing Flexibility Services (FSs) and complying with the regulatory directives of the energy market. As a solution, this paper proposes the use of the OpenADR (Open Automated Demand Response) standard protocol in combination with a Decentralized Permissioned Market Place (DPMP) based on Blockchain. On one hand, OpenADR hierarchical architecture based on distributed nodes provides communication between stakeholders, adding monitoring and management services. Further, this architecture is compatible with an aggregator schema that guarantees the compliance with the strictest regulatory framework (i.e., European market). On the other hand, DPMP is included at different levels of this architecture, providing a global solution to Flexibility Service Providers (FSP) that can be adapted depending on the regulation of a specific country. As a proof of concept, this paper shows the result of a real experimental case, which implements a Capacity Bidding Program where the OpenADR protocol is used as a communication method to control and monitor energy consumption. In parallel, the proposed DPMP based on Blockchain makes it possible to manage the incentives of FSs, enabling the integration of local and global markets.

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Distributed Charging Prioritization Methodology Based on Evolutionary Computation and Virtual Power Plants to Integrate Electric Vehicle Fleets on Smart Grids

Cited by 14 publications

References 50 publications

Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources

Increasing the Efficiency of Rule-Based Expert Systems Applied on Heterogeneous Data Sources

Static–dynamic hybrid sequential VPP network analysis

Flexibility Services Based on OpenADR Protocol for DSO Level

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