Predictive analysis on electric-power supply and demand in China

2007 ◽  
Vol 32 (7) ◽  
pp. 1165-1174 ◽  
Author(s):  
Min Huang ◽  
Yong He ◽  
Haiyan Cen
Keyword(s):  
Electric Power ◽  
Power Supply ◽  
Supply And Demand ◽  
Predictive Analysis ◽  
Electric Power Supply

Growth Ceiling of Energy Efficiency and Countermeasure Archetype in Electric Power Supply and Demand System

2013 ◽  
Vol 291-294 ◽  
pp. 1297-1302 ◽  
Author(s):  
Qing You Yan ◽  
Xin Fa Tang ◽  
Juan Juan Cao ◽  
Chao Kong
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Power Supply ◽  
Supply And Demand ◽  
Feedback Mechanism ◽  
Electric Power System ◽  
Demand System ◽  
Efficiency Improvement ◽  
Electric Power Supply ◽  
Energy Efficiency Improvement

Energy efficiency depends on the profit that the consumed energy contributes to human need system for the sustainable development. With the increasing importance of coordinate development of environment, economic and electric power system, it is more and more difficult to choose the right improvement path and mechanism of energy efficiency in electric-power supply and demand system. After analyzing the feedback mechanism of energy efficiency improvement of the electric power supply and demand system, energy efficiency improvement which caused the growth ceiling was found along with some inhibition factors in the process of energy efficiency improvement. In view of the energy efficiency improvement growth ceiling of the electric-power supply and demand system, the end treatment mechanism was introduced as a countermeasure which inputs environmental costs to the power supply chain. Furthermore, government guides and participates in energy efficiency investment, which was regarded as another countermeasure attached much importance. So the improvement of energy efficiency in supply and demand system of electric power can be maximized.

scholarly journals Optimization Method for Operation Schedule of Microgrids Considering Uncertainty in Available Data

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2487
Author(s):  
Hirotaka Takano ◽  
Ryota Goto ◽  
Ryosuke Hayashi ◽  
Hiroshi Asano
Keyword(s):  
Objective Function ◽  
Electric Power ◽  
Power Supply ◽  
Solution Method ◽  
Optimization Problems ◽  
Supply And Demand ◽  
Optimal Operation ◽  
Power Grids ◽  
Electric Power Supply ◽  
Operation Schedule

Operation scheduling in electric power grids is one of the most practical optimization problems as it sets a target for the efficient management of the electric power supply and demand. Advancement of a method to solve this issue is crucially required, especially in microgrids. This is because the operational capability of microgrids is generally lower than that of conventional bulk power grids, and therefore, it is extremely important to develop an appropriate, coordinated operation schedule of the microgrid components. Although various techniques have been developed to solve the problem, there is no established solution. The authors propose a problem framework and a solution method that finds the optimal operation schedule of the microgrid components considering the uncertainty in the available data. In the authors’ proposal, the objective function of the target problem is formulated as the expected cost of the microgrid’s operations. Since the risk of imbalance in the power supply and demand is evaluated as a part of the objective function, the necessary operational reserve power is automatically calculated. The usefulness of the proposed problem framework and its solution method was verified through numerical simulations and the results are discussed.

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