The Cost Based DSM Methods in Microgrids with DG Sources

Denysiuk, Serhii; Derevianko, Denys

doi:10.1109/khpiweek53812.2021.9570096

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…Оскільки генерація стає більш децентралізованою завдяки інтеграції значної кількості джерел РГ, енергетичні ринки та електромережі повинні адаптуватися на рівні систем передачі та розподілу. Таким чином, Microgrid системи та пов'язана з ними концепція локальних енергетичних ринків стають все більш важливими для стійкої та надійної роботи енергетичних систем [10][11][12].…”

Section: рисунок 1 -основні цілі впровадження Microgrid системunclassified

Features of Creation of the Smart Monitoring Systems for Microgrids

Derevianko,

Perehuda

2024

ENERHETYKA: ekonomika, tekhnolohiyi, ekolohiya

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In this paper, an analysis of the main requirements for control systems in Microgrid is conducted. The main objectives of the implementation of Microgrid systems were determined and, based on the performed analysis, the requirements for Smart-monitoring systems were systematized. The components of Smart-monitoring systems, which include: communication software platform, hardware communication platform and types of equipment of DG sources for Microgrid systems were analyzed. It is proposed to build Smart-monitoring systems for Microgrid systems on the basis of the SGAM model, taking into account various models of aggregation of different types of DG sources within the framework of Microgrid systems. The proposed structure of the Smart-monitoring system for Microgrid systems with various DG sources makes it possible to effectively aggregate DG sources and prosumers and to carry out effective dispatching of generating capacities based on market mechanisms of their interaction with consumers and among themselves.

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Section: рисунок 1 -основні цілі впровадження Microgrid системunclassified

Features of Creation of the Smart Monitoring Systems for Microgrids

Derevianko,

Perehuda

2024

ENERHETYKA: ekonomika, tekhnolohiyi, ekolohiya

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“…This complication can be solved by the application of various pricing mechanisms and DSM programs (see Fig. 5) [4,6]. While implementing variable pricing models the aggregator should take into account characteristics of different DER's and LCOE for each type of DER to stimulate each local electricity market participant separately.…”

Section: Aggregation Price Modelsmentioning

confidence: 99%

“…Spinoff devices and secure communication will be beneficiaries for other applications such as more intelligent grid infrastructure, smarter loads that will be considered part of the smart grid infrastructure, building energy management, and optimized demand-side management (DSM) [1,3,6].…”

Section: Introductionmentioning

confidence: 99%

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Aggregation Price Models for Microgrids With Distributed Energy Resources

Denysiuk¹,

Derevianko²,

Bielokha³

et al. 2023

ENERHETYKA: ekonomika, tekhnolohiyi, ekolohiya

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The development of Microgrid states the problem of choosing the optimal technologies for its composition.This paper is to present cost based demand-side management methods for the Microgrids with DistributedGeneration sources to optimize their operation. While implementing variable pricing models the aggregatorshould take into account characteristics of different Distributed Energy Resources (DER) (diesel engines, gasturbines, fuel cells, solar panels, small hydropower plants and wind turbines) and LCOE for each type of DER tostimulate each local electricity market participant separately. The system Microgrid using three diesel generatorsand the option of replacing one generator with a solar electric and wind generator installation was considered.

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“…[35] Efficiency of cost (Criterion 5) [36] Cost effectiveness is an important variable in the performance of microgeneration energy technology investments. Technological developments are expected to reduce costs.…”

Section: Criteria Referencesmentioning

confidence: 99%

Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

et al. 2022

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Investments in microgeneration technologies help to boost the usage of clean energy while reducing pollution. However, selecting the appropriate investment remains the most critical phase in developing these technologies. This study aims to design a multi-criteria decision-making method (MCDM) to evaluate investment alternatives for microgeneration energy technologies. The proposed MCDM is based on a Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), to define the relative importance of the factors. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and q-Rung Orthopair Fuzzy Soft Sets (q-ROFSs) are used to rank investment alternatives. Calculations were also made with Intuitionistic Fuzzy Sets (IFSs) and Pythagorean Fuzzy Sets (PFSs). For analysis, five evaluation criteria were selected based on the literature: frequency of maintenance, ease of installation, environmental adaptation, transmission technologies, and efficiency of cost. Similarly, six alternatives for microgeneration technology investments were selected: ground source heat pumps, micro hydroelectric power, micro combined heat and power, micro bioelectrochemical fuel cell systems, small-scale wind turbines, and photovoltaic systems. The results showed that cost efficiency was the most significant factor in the effectiveness of microgeneration energy investments, and the photovoltaic system was the best alternative to increase microgeneration energy technology investment performance. Furthermore, the results were the same for the analyses made with IFSs and PFSs, demonstrating the reliability of the proposed method. Therefore, investors in microgeneration technologies should prioritize photovoltaic systems. This conclusion is supported by the fact that photovoltaic is a renewable energy source that has witnessed the most technological improvements and cost reductions over the last decade.

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The Cost Based DSM Methods in Microgrids with DG Sources

Cited by 9 publications

References 3 publications

Features of Creation of the Smart Monitoring Systems for Microgrids

Features of Creation of the Smart Monitoring Systems for Microgrids

Aggregation Price Models for Microgrids With Distributed Energy Resources

Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

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