scholarly journals How Electrical Storage Heaters Can Reduce Wind Curtailment by Satisfying System Reserve Requirements

2018 ◽  
Vol 64 ◽  
pp. 03002
Author(s):  
D. Kerr William ◽  
M. Laverty David ◽  
J. Best Robert

This paper proposes how using electric storage heaters could provide a portion of the system reserve requirements which would otherwise have to be satisfied by conventional generation. With the upgrade and install of new advanced electrical storage heaters there is the potential to provide large system reserve capabilities when combined with a high-speed communications network. Together with these new more efficient heaters, not only will domestic emissions be reduced, the overall electrical grid CO2 intensity should experience an improvement due to the incorporation of the demand side management (DSM) aspect. The All-Ireland system has been used in this paper as an example of an electrical network which is undergoing a significant transition to high penetrations of renewables, while having a considerable population of potentially upgradeable electric heating sources for DSM control.

2018 ◽  
Vol 64 ◽  
pp. 07001
Author(s):  
D. Kerr William ◽  
M. Laverty David ◽  
J. Best Robert

This paper shows the effect on household greenhouse gas emissions if standalone or supplementary electric heating was to replace conventional heating methods, based on the present day electrical grid. While having the capability to improve future grid effectiveness and dynamic stability through the potential incorporation of demand side management (DSM). The All-Ireland system has been used in this paper as an example of a network which has been experiencing a significant increase in renewable generation. To show the potential of the electric heating methods the characteristics of existing domestic heating systems will be discussed, in terms of their heat output against their exhaust emissions (gCO2e/kWh). This will then be compared to that of the grid CO2 Intensity, showing the frequency and duration of the possible emission savings involved when using electricity as a main or supplementary heating source.


2020 ◽  
Vol 181 ◽  
pp. 03002
Author(s):  
Fabien Mukundufite ◽  
Jean Marie Vianney Bikorimana ◽  
Etienne Ntagwirumugara ◽  
Alex Kyaruzi

Many scholars have been focusing on the energy management by Integrating a smart grid into a conventional electrical grid. They have showed that to meet a certain power demand of the consumers, using energy management, the electric utility can turn on some generators, which may have the least operation cost, while the generators with high operation cost are left to supply extra load demand in specific peak periods. Henceforth, the operation cost of its generation units is minimized. The issue remains at a level of relating the energy management to CO2 emission. The present paper briefly discusses the Rwandan electrical network that still integrates the use of diesel generators. It estimates the amount of CO2 emission that can be avoided once a PV system is integrated into the electrical network. The paper as well proposes an algorithm for energy management with consideration of CO2 emission.


Author(s):  
Nildia Mejias-Brizuela ◽  
Rosa Brión-González ◽  
Arturo Ramírez-Lugo ◽  
Eber Orozco-Guillén

We present the design of a prototype solar photovoltaic system interconnected to the electrical network based the Standard CONOCER Mexico EC 0586.01 with which students from Polytechnic Universities and other education institutes technological of renewable energy acquire the theoretical-practical knowledge of photovoltaic technology, for so that students professionals more competitive. The prototype is designed using SolidWorks® software, is design for small space by the dimensions that have and is easy transportation because it does not weigh. The implementation consist in connections between components and the corresponding connections to the electrical grid and determine the acceptance by users through questionnaires applied. The characterization consist in acquired real-time physical and electrics parameters by computational tool designed, the graphs of characteristic curves of solar panels as function of solar irradiance and graphics of energy production of the photovoltaic system. Finally the use of the electricity network to supply an electric demand not covered by the prototype of grid interconnected photovoltaic system.


2021 ◽  
Author(s):  
Francesco Silletti ◽  
Riccardo Riva ◽  
Fabia Gasparotto ◽  
Mauro Dalla Francesca ◽  
Leonardo Zeni ◽  
...  

2018 ◽  
Vol 41 ◽  
pp. 03015
Author(s):  
Sergei Zakharov ◽  
Dmitriy Kudryashov ◽  
Viktor Brodt ◽  
Ivan Pascar ◽  
Vyacheslav Voronin

Power system of the Kemerovo region is unique in terms of the number of hazardous production facilities (coal mines, coal pit). To ensure trouble-free operation of hazardous production facilities and the normal operation of other consumers, it is necessary to ensure reliable operation of regional electrical grid networks. Based on reports on technological disruptions in electric networks of the Kemerovo region in 2015, performed analysis of accidents in 6-110 kV electric networks of Kuzbass power system. The statistics of the technological disruptions in terms of voltage classes, damaged elements, causes of occurrence, time to recovery and the number of outages of household consumer, are given. Conclusions were drawn about the high level of accident rate in 6-10 kV electrical network.


2020 ◽  
Vol 209 ◽  
pp. 02029
Author(s):  
Nikita Tomin ◽  
Victor Kurbatsky ◽  
Vadim Borisov ◽  
Sergey Musalev

The paper proposes a concept of building a digital twin based on the reinforcement learning method. This concept allows implementing an accurate digital model of an electrical network with bidirectional automatic data exchange, used for modeling, optimization, and control. The core of such a model is an agent (potential digital twin). The agent, while constantly interacting with a physical object (electrical grid), searches for an optimal strategy for active network management, which involves short-term strategies capable of controlling the power supplied by generators and/ or consumed by the load to avoid overload or voltage problems. Such an agent can verify its training with the initial default policy, which can be considered as a teacher’s advice. The effectiveness of this approach is demonstrated on a test 77-node scheme and a real 17-node network diagram of the Akademgorodok microdistrict (Irkutsk) according to the data from smart electricity meters.


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