Hybrid weighted probabilistic neural network and biogeography based optimization for dynamic economic dispatch of integrated multiple-fuel and wind power plants

2016 ◽  
Vol 77 ◽  
pp. 385-394 ◽  
Author(s):  
Umamaheswari krishnasamy ◽  
Devarajan Nanjundappan
Keyword(s):  
Neural Network ◽  
Wind Power ◽  
Power Plants ◽  
Probabilistic Neural Network ◽  
Economic Dispatch ◽  
Wind Power Plants ◽  
Dynamic Economic Dispatch

Wind Speed Forecasting Based on FNN in Wind Farm

2014 ◽  
Vol 651-653 ◽  
pp. 1117-1122
Author(s):  
Zheng Ning Fu ◽  
Hong Wen Xie
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Power Systems ◽  
Wind Power ◽  
Power Plants ◽  
Fuzzy Neural Network ◽  
Negative Impact ◽  
Wind Speed Forecasting ◽  
Wind Power Plants ◽  
Fuzzy Neural

Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on a fuzzy neural network (FNN), a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook, the fuzzy neural network (FNN) forecasts the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.

scholarly journals The Effect of Wind Power Plants on the Total Cost of Production in Economic Dispatch Problems

2013 ◽  
Vol 6 (8) ◽  
pp. 1335-1340 ◽  
Author(s):  
Javad Ansari ◽  
Siamak Bandari ◽  
Mehdi Ghazavi Dozein ◽  
Mohsen Kalantar
Keyword(s):  
Wind Power ◽  
Power Plants ◽  
Economic Dispatch ◽  
Total Cost ◽  
Wind Power Plants ◽  
Cost Of Production

scholarly journals A Refined Teaching-Learning Based Optimization Algorithm for Dynamic Economic Dispatch of Integrated Multiple Fuel and Wind Power Plants

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Umamaheswari Krishnasamy ◽  
Devarajan Nanjundappan
Keyword(s):  
Wind Power ◽  
Power Plants ◽  
Thermal Power ◽  
Radial Basis Function Network ◽  
Economic Dispatch ◽  
Sqp Method ◽  
Teaching Learning Based Optimization ◽  
Reliable Power Supply ◽  
Teaching Learning ◽  
Dynamic Economic Dispatch

Dynamic economic dispatch problem (DEDP) for a multiple fuel power plant is a nonlinear and nonsmooth optimization problem when valve-point effects, multifuel effects, and ramp-rate limits are considered. Additionally wind energy is also integrated with the DEDP to supply the load for effective utilization of the renewable energy. Since the wind power may not be predicted, a radial basis function network (RBFN) is presented to forecast a one-hour-ahead wind power to plan and ensure a reliable power supply. In this paper, a refined teaching-learning based optimization (TLBO) is applied to minimize the overall cost of operation of wind-thermal power system. The TLBO is refined by integrating the sequential quadratic programming (SQP) method to fine-tune the better solutions whenever discovered by the former method. To demonstrate the effectiveness of the proposed hybrid TLBO-SQP method, a standard DEDP and one practical DEDP with wind power forecasted are tested based on the practical information of wind speed. Simulation results validate the proposed methodology which is reasonable by ensuring quality solution throughout the scheduling horizon for secure operation of the system.

The territory of the Russian Federation is a rescue from the COVID-19 coronavirus

2020 ◽  
pp. 26-29
Author(s):  
Yu. Kozlov ◽  
R. Serebryakov
Keyword(s):  
Wind Power ◽  
Rural Areas ◽  
Small Area ◽  
Power Plants ◽  
Air Spring ◽  
Atmospheric Air ◽  
Large Cities ◽  
Wind Power Plants ◽  
The World ◽  
The Russian Federation

A new coronavirus pandemic is raging all over the world, especially in densely populated areas. Unlike most countries, more than half of the territory of Russia is not used by humans — which means that it is possible to settle large cities to avoid crowding people on a small area. The authors of the article consider wind power, namely vortex wind power plants, as a new source of energy that can be quickly and with less harm built in rural areas. The article also discusses the possibilities of an alternative Autonomous non-volatile installation "Air spring" for obtaining fresh water from atmospheric air.

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