Data-Driven Risk-Adjusted Robust Energy Management for Microgrids Integrating Demand Response Aggregator and Renewable Energies

Zhen, Yuan; Li, Peng; Li, Zhenlong; Xia, Jing

doi:10.1109/tsg.2022.3193226

Cited by 41 publications

(8 citation statements)

References 27 publications

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“…Renewable energy commercialization involves the additional factors that have improved the research knowledge. This has contributed to 19% of the energy consumption towards photovoltaic thermal power stations [30].…”

Section: Understanding the Distributed Architecture For The Supervisi...mentioning

confidence: 99%

Improving the Efficiency and Reliability of Renewable Energy Systems

Chen,

Huang,

Ren

et al. 2024

SCPE

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The implications of relevant sustainable practices have reflected the scholastic features to improve the environmental resources. The study highlights the importance of conservation of environment and power system in search of proven solutions to improve the penetration level. The need for flexibility has signified the special characteristics that are conventional in increasing the integrity of renewable resources. The ideologies have global trends have integrated the cost of affectivity with the growing applications of power projects. The architecture of wind and solar energy has touched successful benchmarks with respect to the real world implications. The conceptual practices help in initializing the practices towards biomass as well as determining the impact of renewable energy on wind and solar power energy in a significant manner. In addition to that, the applications of solar or photovoltaic cell have been mentioned in the study which has greater significance. The ideas based on the emission of greenhouse gases have been evaluated in the study that shows the after effects as well. The use of passive solar energy and active solar energy has clearly discussed the concept of sustainability and the process of administering towards various climatic conditions. Lastly, the impact of renewable resources on social, environmental, technical and economic aspects has verified the relevant practice of sustainability.

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Section: Understanding the Distributed Architecture For The Supervisi...mentioning

confidence: 99%

Improving the Efficiency and Reliability of Renewable Energy Systems

Chen,

Huang,

Ren

et al. 2024

SCPE

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“…Validate the data effective integrity rate using (5) Define the design domain of the environmental condition parameters Calculate and using ( 8) and (9) Output the optimized ambient boundary using (10)…”

Section: Data and Preset Parameters Inputmentioning

confidence: 99%

“…However, most of the above studies focus on the joint probability analysis or uncertain influence of environmental conditions on the limit or fatigue load of structural components [5,6], whereas for the electrical components of a wind turbine, especially for wind generators, there should be more applicable optimization methods that use available data [7][8][9]. More specifically, most traditional methods regard the environmental conditions as individual variables, which may lead to conservative design results.…”

Section: Introductionmentioning

confidence: 99%

Environmental Condition Boundary Design for Direct-Drive Permanent Magnet (DDPM) Wind Generators by Using Extreme Joint Probability Distribution

et al. 2023

Self Cite

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In future engineering applications, it is important for a direct-drive permanent magnet (DDPM) wind generator to be designed with optimized environmental condition boundary. This paper presents a novel extreme joint probability distribution method of boundary design to formulate the evaluation model and correlation between component design and environmental conditions. With this method, the joint probability distributions of multidimensional parameters for typical wind resource areas in China are studied. A 3.3-MW DDPM wind generator is involved in the case study to validate the superiority of the method. Furthermore, to improve the generalizability of the method, some typical wind resource data platforms are calibrated regarding the measured data. It is shown that the ERA5 dataset can be used as a supplement to enhance the representativeness of the measured data for the joint probability distributions. Therefore, the proposed method can be potentially used to optimize the system design of future DDPM wind generators.

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“…Part of the available literature, e.g., [4], proposes a dynamic reallocation of the consumption schedule where uncertainties in real-time production are resolved via continuous refreshing of the load schedules in an environment of high PV penetration and load variability. Another proposed approach on the subject is the quantification of the possible variation in consumption, e.g., [5]. In [5], a framework is suggested for energy management that includes a DR aggregator coordinating the energy demand of end-users.…”

Section: Introductionmentioning

confidence: 99%

“…Another proposed approach on the subject is the quantification of the possible variation in consumption, e.g., [5]. In [5], a framework is suggested for energy management that includes a DR aggregator coordinating the energy demand of end-users. The uncertainty in terms of forecasting error in RES production is approximated by constructing a data-driven risk-adjusted uncertainty set.…”

Section: Introductionmentioning

confidence: 99%

Win–Win Coordination between RES and DR Aggregators for Mitigating Energy Imbalances under Flexibility Uncertainty

Krasopoulos,

Papaioannou,

Stamoulis

et al. 2023

Energies

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The integration of renewable rnergy sources (RESs) into the power grid involves operational challenges due to the inherent RES energy-production variability. Imbalances between actual power generation and scheduled production can lead to grid instability and revenue loss for RES operators and aggregators. To address this risk, in this paper, we introduce a mutually beneficial bilateral trading scheme between a RES and a DR aggregator to internally offset real-time energy imbalances before resorting to the flexibility market. We consider that the DR aggregator manages the energy demand of users, characterized by uncertainty in their participation in DR events and thus the actual provision of flexibility, subject to their offered monetary incentives. Given that the RES aggregator faces penalties according to dual pricing for positive or negative imbalances, we develop an optimization framework to achieve the required flexibility while addressing the trade-off between maximizing the profit of the RES and DR aggregators and appropriately incentivizing the users. By using appropriate parameterization of the solution, the achievable revenue for the imbalance offsetting can be shared between the RES and the DR aggregators while keeping users satisfied. Our analysis highlights the interdependencies of the demand–production energy imbalance on user characteristics and the RES and DR aggregator profits. Based on our results, we show that a win–win outcome (for the RES and DR aggregators and the users) is possible for a wide range of cases, and we provide guidelines so that such bilateral agreements between RES and DR aggregators could emerge in practical settings.

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Data-Driven Risk-Adjusted Robust Energy Management for Microgrids Integrating Demand Response Aggregator and Renewable Energies

Cited by 41 publications

References 27 publications

Improving the Efficiency and Reliability of Renewable Energy Systems

Improving the Efficiency and Reliability of Renewable Energy Systems

Environmental Condition Boundary Design for Direct-Drive Permanent Magnet (DDPM) Wind Generators by Using Extreme Joint Probability Distribution

Win–Win Coordination between RES and DR Aggregators for Mitigating Energy Imbalances under Flexibility Uncertainty

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