Linear Programming-Based Power Management for a Multi-Feeder Ultra-Fast DC Charging Station

Rubino, Luigi; Rubino, Guido; Esempio, Raffaele

doi:10.3390/en16031213

Cited by 12 publications

(4 citation statements)

References 36 publications

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“…Our article is focused on the Russian economy, but for greater interest, we can consider continuing this research in the economy of charging electric vehicles, where Europe is very interested. The energy price is contractual and depends on the request and the energy management system for both cost containment and energy demand, which may not be enough, for example, in Europe [37,38].…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Formation of the Economic Effect of Cross-Subsidization in the Electric Power Industry

2023

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The materials presented in the article reflect changes in the mechanism of cross-subsidization in the electric power industry, where price discrimination of consumers has taken place until recently. Historically, the established practice has been expressed in the redistribution of the burden of paying for electric energy between consumer groups, ensuring the containment of tariff growth. However, the reduction of tariffs for some categories of citizens was achieved by increasing them for others, social justice was violated and, for some buyers, the price is set above marginal costs, and for others—lower, although, in general, it led to prices corresponding to average costs. This policy was considered by the state as a measure of social support for the population but, at the same time, led to some negative consequences. The presented conceptual provisions for the creation of unified energy zones aimed at ensuring a fair redistribution of cross-subsidization between electricity consumers and a gradual reduction in its consumption will make it possible to form a unified energy space of Russia. On a concrete example, the socio-economic effects of the introduction of the author’s approach to the distribution of cross-subsidization between groups of consumers of electric power transmission services are identified and shown. They show the degree of influence of the amount of cross-subsidization paid by the consumer company on the cost of the final products that this company produces. The price of electric energy, which is part of the cost of production, significantly changes the consumer cost of energy-intensive production. The implementation of the proposals contained in the article will create economic incentives for the development of economically lagging regions and will make it possible to form an effective state tariff policy in the process of regulating the socio-economic development of the Russian Federation, defining an effective state tariff policy.

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Section: Discussionmentioning

confidence: 99%

Assessment of the Formation of the Economic Effect of Cross-Subsidization in the Electric Power Industry

2023

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“…Various microgrid optimization techniques can be used, including probabilistic [41,42], artificial intelligence [43,44], iterative [45,46], and deterministic techniques [47][48][49]. Luigi Rubino et al [50] use linear programming method-based power management for a multifeeder ultra-fast DC charging station.…”

Section: Bibliographical Reviewsmentioning

confidence: 99%

Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming, and Onsset Method

Kabe,

Bokovi,

Sedzro

et al. 2024

Energies

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Optimal planning and design of microgrids are priorities in the electrification of off-grid areas. Indeed, in one of the Sustainable Development Goals (SDG 7), the UN recommends universal access to electricity for all at the lowest cost. Several optimization methods with different strategies have been proposed in the literature as ways to achieve this goal. This paper proposes a microgrid installation and planning model based on a combination of several techniques. The programming language Python 3.10 was used in conjunction with machine learning techniques such as unsupervised learning based on K-means clustering and deterministic optimization methods based on mixed linear programming. These methods were complemented by the open-source spatial method for optimal electrification planning: onsset. Four levels of study were carried out. The first level consisted of simulating the model obtained with a cluster, which is considered based on the elbow and k-means clustering method as a case study. The second level involved sizing the microgrid with a capacity of 40 kW and optimizing all the resources available on site. The example of the different resources in the Togo case was considered. At the third level, the work consisted of proposing an optimal connection model for the microgrid based on voltage stability constraints and considering, above all, the capacity limit of the source substation. Finally, the fourth level involved a planning study of electrification strategies based mainly on microgrids according to the study scenario. The results of the first level of study enabled us to obtain an optimal location for the centroid of the cluster under consideration, according to the different load positions of this cluster. Then, the results of the second level of study were used to highlight the optimal resources obtained and proposed by the optimization model formulated based on the various technology costs, such as investment, maintenance, and operating costs, which were based on the technical limits of the various technologies. In these results, solar systems account for 80% of the maximum load considered, compared to 7.5% for wind systems and 12.5% for battery systems. Next, an optimal microgrid connection model was proposed based on the constraints of a voltage stability limit estimated to be 10% of the maximum voltage drop. The results obtained for the third level of study enabled us to present selective results for load nodes in relation to the source station node. Finally, the last results made it possible to plan electrification using different network technologies and systems in the short and long term. The case study of Togo was taken into account. The various results obtained from the different techniques provide the necessary leads for a feasibility study for optimal electrification of off-grid areas using microgrid systems.

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“…A microgrid is generally composed of renewable and non-renewable distributed energy resources (DER), such as photovoltaic (PV) array units, back-up generators, and battery storage units. These DERs can be used to facilitate different technologies, including electric vehicles (EV) [1]. Microgrids leverage smart sensor technologies, such as advanced metering infrastructure (AMI) to record and transmit power estimation data to a central data concentrator [2].…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study

Thulasiraman,

Hackett,

Musgrave

et al. 2023

Energies

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Smart microgrids are being increasingly deployed within the Department of Defense. The microgrid at Marine Corps Air Station (MCAS) Miramar is one such deployment that has fostered the integration of different technologies, including 5G and Advanced Metering Infrastructure (AMI). The objective of this paper is to develop an anomaly detection framework for the smart microgrid system at MCAS Miramar to enhance its cyber-resilience. We implement predictive analytics using machine learning to deal with cyber-uncertainties and threats within the microgrid environment. An autoencoder neural network is implemented to classify and identify specific cyber-attacks against this infrastructure. Both network traffic in the form of packet captures (PCAP) and time series data (from the AMI sensors) are considered. We train the autoencoder model on three traffic data sets: (1) Modbus TCP/IP PCAP data from the hardwired network apparatus of the smart microgrid, (2) experimentally generated 5G PCAP data that mimic traffic on the smart microgrid and (3) AMI smart meter sensor data provided by the Naval Facilities (NAVFAC) Engineering Systems Command. Distributed denial-of-service (DDoS) and false data injection attacks (FDIA) are synthetically generated. We show the effectiveness of the autoencoder on detecting and classifying these types of attacks in terms of accuracy, precision, recall, and F-scores.

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Linear Programming-Based Power Management for a Multi-Feeder Ultra-Fast DC Charging Station

Cited by 12 publications

References 36 publications

Assessment of the Formation of the Economic Effect of Cross-Subsidization in the Electric Power Industry

Assessment of the Formation of the Economic Effect of Cross-Subsidization in the Electric Power Industry

Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming, and Onsset Method

Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study

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