VVER-1200 Tests in No. 6 Unit of the Novovoronezh NPP During Operation in a Daily Load Schedule

Atomic Energy ◽  
2021 ◽  
Author(s):  
P. E. Filimonov ◽  
Yu. M. Semchenkov ◽  
V. V. Malyshev ◽  
N. Yu. Dolgopolov ◽  
V. P. Povarov ◽  
...  
Keyword(s):  
Load Schedule ◽  
Daily Load

scholarly journals Development of Optimized Methodology for Improvement Domestic Energy Management

2019 ◽  
Vol 8 (4) ◽  
pp. 5288-5294
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Wind Speed ◽  
Energy Management ◽  
Electrical Energy ◽  
Supply Side ◽  
Demand Side ◽  
Load Schedule ◽  
The Cost ◽  
Daily Load

Electrical energy management (EEM) is an object that has proceeds appointed importance in the 21 th - century in order to its assistance to economic development and ecological ascertainment. “EEM” may be perfected on the supply side “(SS)” or demand side “(DS)”. On the supply side, “EEM” is cultivated when: There is an outgrowth desire “(demand requirement is higher than supply)”. “EEM” assists to suspend the design a resent generation station. On the “DS”, “EEM” is used to minimize the cost of electrical energy consumption and the interrelated forfeitures. The technique utilized for “EEM” is demand side load management that plan at ending valley filling, peak clipping and strategic preservation of electrical systems [1]. Seeming new inventions like “distributed generation (DG)”, “distributed storage (DS)” and “DSLM” will modify the method we use and generate energy. A smart grid (SG) is an electrical network that manages electricity demand in an unstoppable sustainable, reliable and economic manner. A smart grid uses smart net meters to overcome the sickliness of traditional electrical grid. “(DSM)” is a vital advantage of “(SG)” to progress power efficiency, minimize the peak average load and minimize the cost. From basic purposes of DSM is shifting load from peak hours to off-peak hours and reducing consumption during peak hours. Generally, a deregulated grid system is considered where the retailer purchases electricity from the electricity market to cover the end users’ energy need. In this research, Demand Side Management (DSM) techniques (load shifting and Peak clipping) are used to maximize the profit for Retailer Company by reducing total power demand pending peak demand periods and achieve an optimal daily load schedule using linear programming method and Genetic Algorithm. This method is performed on the 69-bus radial network. Also, a short term Artificial Neural Network technique is used to get forecasted wind speed, solar radiation and forecasted users load for date 15-Aug-2019. The neural network here uses an actual hourly load data, actual hourly wind speed and solar radiation data. Then the forecasted data is used in the optimization to get optimal daily load schedule to maximize the profit for Retailer Company. Then comparison between profit using linear programing and genetic algorithm are made. The optimized DSM succeeded to maximize the profits of the company.

scholarly journals MODEL OF EVALUATION THE FEASIBILITY OF INDUSTRIAL CUSTOMERS TO HOURLY ACCOUNTING OF RETAIL ELECTRICITY MARKET

2021 ◽  
pp. 88-97
Author(s):  
I. Blinov ◽  
E. Parus ◽  
V. Miroshnyk ◽  
P. Shymaniuk ◽  
V. Sychova
Keyword(s):  
Electricity Market ◽  
Market Price ◽  
Electricity Consumption ◽  
Weighted Average ◽  
Load Schedule ◽  
Main Components ◽  
The Individual ◽  
The Cost ◽  
Daily Load ◽  
Final Consumer

The main differences in pricing and tariffing for industrial consumers of electricity with different forms of electricity metering are considered. Based on the analysis of tariff formation for the final consumer of electricity, components are identified that have a significant impact on the results of solving the problem of assessing the feasibility of the consumer's transition to hourly electricity metering. Such components include the cost of purchasing electricity in the market segment "day ahead" and the cost of accrued imbalances. The relative daily profile of electricity consumption is considered in order to study the influence of the features of the daily load schedule on the weighted average daily market price of electricity. The importance of estimating the cost of daily load profiles when comparing the cost of electricity for the consumer in the group with integrated electricity metering and in terms of individual hourly metering is substantiated. The effect of underestimation of volumes and value of imbalances in the group with integrated electricity metering in comparison with hourly accruals of volumes and value of imbalances is theoretically substantiated. The main components for comparative assessment of the expediency of the consumer's exit from the group with integrated metering of electricity and the transition to its hourly metering according to the individual daily load schedule are identified. Mathematical models for comparative calculations are developed. The use of these models allows to make an economically justified decision on the expediency of the consumer leaving the group without hourly metering of electricity to the model of purchasing electricity with hourly metering. The main approaches to such an assessment are demonstrated on the example of calculations for an industrial enterprise in some regions of Ukraine. Bibl. 15, fig. 3.

VVER-1200/1300 operation in a daily load schedule

Atomic Energy ◽  
2013 ◽  
Vol 113 (5) ◽  
pp. 305-313 ◽  
Author(s):  
S. P. Averianova ◽  
A. A. Dubov ◽  
K. B. Kosourov ◽  
Yu. M. Semchenkov ◽  
P. E. Filimonov
Keyword(s):  
Load Schedule ◽  
Daily Load

Development of Methods for VVER-1200/1300 Control in a Daily Load Schedule

Atomic Energy ◽  
2013 ◽  
Vol 114 (5) ◽  
pp. 308-314 ◽  
Author(s):  
S. P. Averyanova ◽  
A. A. Dubov ◽  
K. B. Kosourov ◽  
Yu. M. Semchenkov ◽  
P. E. Filimonov
Keyword(s):  
Load Schedule ◽  
Daily Load

Development of transportation types and their usage on caravan roads in middle ages

2020 ◽  
Vol 3 (2) ◽  
pp. 19-23
Author(s):  
Jahongir Yunusugli Ergashev
Keyword(s):  
Middle Ages ◽  
Transport System ◽  
Geographical Location ◽  
Economic Relations ◽  
Trade Relations ◽  
Contagious Diseases ◽  
Sand Storm ◽  
Natural Climate ◽  
Daily Load ◽  
Daily Distance

During the existence of the Bukhara khanate, the economic and trade relations with neighboring countries on the territory of Central Asia have been largely based on transport system of the old network of roads. Along with the formation and development of communication routes, transportation vehicles also improved based on the natural climate and geographical location of different regions.  In the following article the info is given on the means of the transport used in the caravan routes in the trade-economic relations of khanate of Bukhara with neighboring countries in medieval times. Included there, the starting of domestication and usage of horse drawn vehicles, camels, donkeys and others, the capacity of daily load of camels, horses, donkeys which were core of caravans, their daily distance, the necessary tasks in the incidents occurred in caravan routes (injuries, bruises, contagious diseases) the stopping regulation of caravans (sand storm, in heat and frost) is thoroughly analyzed.

Navy Total Maximum Daily Load (TMDL) Guidance

2005 ◽  
Author(s):  
David Cotnoir ◽  
Chris Wallace ◽  
Davika Misir
Keyword(s):  
Total Maximum Daily Load ◽  
Total Maximum ◽  
Daily Load

scholarly journals The Impact of the Selection of Exogenous Variables in the ANFIS Model on the Results of the Daily Load Forecast in the Power Company

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 345
Author(s):  
Janusz Sowinski
Keyword(s):  
Load Forecasting ◽  
Large Set ◽  
Exogenous Variables ◽  
Anfis Model ◽  
Load Forecast ◽  
Forecasting Models ◽  
Power Company ◽  
Ex Post ◽  
Daily Load ◽  
Selection Of

Forecasting of daily loads is crucial for the Distribution System Operators (DSO). Contemporary short-term load forecasting models (STLF) are very well recognized and described in numerous articles. One of such models is the Adaptive Neuro-Fuzzy Inference System (ANFIS), which requires a large set of historical data. A well-recognized issue both for the ANFIS and other daily load forecasting models is the selection of exogenous variables. This article attempts to verify the statement that an appropriate selection of exogenous variables of the ANFIS model affects the accuracy of the forecasts obtained ex post. This proposal seems to be a return to the roots of the Polish econometrics school and the use of the Hellwig method to select exogenous variables of the ANFIS model. In this context, it is also worth asking whether the use of the Hellwig method in conjunction with the ANFIS model makes it possible to investigate the significance of weather variables on the profile of the daily load in an energy company. The functioning of the ANFIS model was tested for some consumers exhibiting high load randomness located within the area under supervision of the examined power company. The load curves featuring seasonal variability and weekly similarity are suitable for forecasting with the ANFIS model. The Hellwig method has been used to select exogenous variables in the ANFIS model. The optimal set of variables has been determined on the basis of integral indicators of information capacity H. Including an additional variable, i.e., air temperature, has also been taken into consideration. Some results of ex post daily load forecast are presented.

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