A noise annealing neural network for hydroelectric generation scheduling with pumped-storage units

2000 ◽  
Vol 15 (3) ◽  
pp. 1008-1013 ◽  
Author(s):  
Ruey-Hsun Liang
Keyword(s):  
Neural Network ◽  
Generation Scheduling ◽  
Pumped Storage ◽  
Storage Units

Optimal planning and sensitivity analysis of green microgrid using various types of storage systems

2020 ◽  
pp. 0309524X2094147
Author(s):  
Sumit Sharma ◽  
Yog Raj Sood
Keyword(s):  
Sensitivity Analysis ◽  
Renewable Energy ◽  
Storage Systems ◽  
Operating Cost ◽  
Indian Policy ◽  
Policy Interventions ◽  
Cost Of Energy ◽  
Pumped Storage ◽  
Test Scenarios ◽  
Storage Units

In this article, a green microgrid is suggested which utilizes renewable energy units such as wind, solar, hydro, and biomass in conjunction with energy storage systems like batteries and the pumped storage. Different test scenarios are investigated to optimally use the power generated from the combined usage of the renewable energy units and the storage units. To judge the performance, a comparative feasibility analysis of the proposed approach is carried out to demonstrate the potential findings based on the total net present cost, levelized cost of energy, operating cost, and initial capital cost. In addition, the proposed solution may be subject to various changes in systems configuration with regard to the wind speed, solar radiation, streamflow, and the electric load; therefore, sensitivity analysis is also presented. Moreover, Indian policy interventions are considered to demonstrate the effectiveness of the proposed approach for a reduction in the overall revenue of the system.

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