![: The concept of demand activation.[2] Source: Ogimoto, K., Iwafune, Y., Kataoka, K., Ikegami, T., & Yagita, Y. (2011a). Cooperation Model of Centralized and Decentralized Energy Management for the SupplyDemand Adjustment in a Power System, Proceeding of Power and Energy Society Conference of Institute of Electrical Engineers of Japan, 8-16 (in Japanese)](https://www.researchgate.net/profile/Iea-Pvps/publication/324727266/figure/fig8/AS:631598265401376@1527596169852/1-2-The-concept-of-demand-activation2-Source-Ogimoto-K-Iwafune-Y-Kataoka_Q320.jpg)
![: Three axes of the home energy management system. [5] Source: Ogimoto, K., University of Tokyo](https://www.researchgate.net/profile/Iea-Pvps/publication/324727266/figure/fig9/AS:631598265430042@1527596169898/2-1-Three-axes-of-the-home-energy-management-system-5-Source-Ogimoto-K_Q320.jpg)
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Task 14: Power system operation and augmentation planning with PV Integration
Abstract and Figures
PV generation is one of the renewable energy generation source that introduces variability and a reduced production predictability in the power system. It differs from the traditional thermal and reservoir-type hydro power generation whose output is fully controllable (dispatchable). PV output varies by nature periodically in a year and in a day, and irregularly due to weather condition.
In that respect, high penetrations of PV generation are expected to create specific challenges in terms of management but also in terms of voltage and power flow fluctuation in the local distribution grids. In the same way, high penetration of PV will increase the complexity of managing the balance between supply and demand at the scale of the whole power system. This will result in specific problems including frequency fluctuation and difficulty of balancing demand and supply.
Accordingly, in order to ensure high PV penetration in a power system, it is crucial to evaluate the impact on operation and augmentation planning to envision the future power system. In the planning of operation and augmentation, it is necessary to identify gaps in current PV system technology and power systems and to analyze how large numbers of PV installations can be successfully integrated.
The IEA-PVPS TASK 14 Subtask3 deals with the PV integration into power systems from the complete power system view point, based on PV generation forecasting, power system operation and power system augmentation.
The current study mainly focuses on balancing supply and demand at system level, including some aspect of managing congestion in the transmission grids. This report is discussing some concepts of grid reinforcement and expansion of transmission network as well.
The report discusses the impacts of PV penetration and new technologies, and then reviews the state-of-the-art technology for system operation planning and grid reinforcements. A section discusses case studies of system operation planning.
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... The real-time weather is classified into seven different categories, i.e. rainy, snowy, overcast, overcast to cloudy, cloudy, cloudy to clear, and clear. Each category has its own factor that describes the weather effect which is varied geographically [41]. This simple discrete classification cannot express all expected variances in the weather. ...
Solar-powered homes can be an optimal solution for the lack of continuous power sources problem in initial low-income communities. However, the challenge of Photovoltaic (PV) uncertainty can make it difficult to coordinate this vital solar energy in real-time. This paper proposes a new, low-cost solution for assessing the uncertainty of photovoltaic power generation in smart home energy management systems. The proposed index, inspired by the well-known clearness index, is an adaptive deterministic indicator that only requires free Geographic Information System (GIS) models and PV power measurement, without the need for expensive high-tech controllers or expert engineers/programmers. The proposed index successfully predicts the daily PV energy with errors of less than 3% for more than 93% of studied days, according to the 2020 measured solar radiation of the studied case in an African developing location, i.e. Cairo. Egypt.
... 198-202). Therefore, various investigations and case studies have been conducted to define the technical requirements and market interfaces for the integration of physical DES in power systems without affecting the normal grid operation and energy markets [16][17][18]. However, there is still a lack of solid technical solutions on the data modeling level to efficiently integrate these decentralized units into the existing data systems of power system operators. ...
As a result of the energy transition, an increasing number of Decentralized Energy Systems (DES) will be installed in the distribution grid in the future. Accordingly, new methods to systematically integrate the growing DES in distribution power systems must be developed utilizing the constantly evolving Information and Communication Technologies (ICT). This paper proposes the Automated Data Model Integration of DES (ADMID) approach for the integration of DES into the ICT environment of the Distribution System Operator (DSO). The proposed ADMID utilizes the data model structure defined by the standard-series IEC 61850 and has been implemented as a Python package. The presented two Use Cases focus on the Supervisory Control and Data Acquisition (SCADA) on the DSO operational level following a four-stage test procedure, while this approach has enormous potential for advanced DSO applications. The test results obtained during simulation or real-time communication to field devices indicate that the utilization of IEC 61850-compliant data models is eligible for the proposed automation approach, and the implemented framework can be a considerable solution for the system integration in future distribution grids with a high share of DES. As a proof-of-concept study, the proposed ADMID approach requires additional development with a focus on the harmonization with the Common Information Model (CIM), which could significantly improve its functional interoperability and help it reach a higher Technology Readiness Level (TRL).
Solar-powered homes can be an optimal solution for the lack of continuous power sources problem in initial low-income communities. However, the challenge of PV uncertainty can make it difficult to coordinate this vital solar energy in real-time. This paper proposes a new, low-cost solution for assessing the uncertainty of photovoltaic power generation in smart home energy management systems. The proposed index, inspired by the well-known clearness index, is an adaptive deterministic indicator that only requires free Geographic Information System GIS models and PV power measurement, without the need for expensive high-tech controllers or expert engineers/programmers. The proposed index successfully predicts the daily PV energy with errors of less than 3% for more than 93% of studied days, according to the 2020 measured solar radiation of the studied case.
Conference code: 94880, Export Date: 12 May 2016, Correspondence Address: Hatziargyriou, N.; PPCGreece; email: N.Chatziargyriou@dei.com.gr, References: Vitellas, I., Smart grids in the greek Islands A. Dimeas Keynote Speech ISAP 2011 25-28 September 2011 Hersonissos Crete, , Greece (in Greek);
