scholarly journals Computation of production control policies by a dynamic programming technique

1982 ◽  
pp. 241-259 ◽  
Author(s):  
Joseph Kimemia ◽  
Stanley B. Gershwin ◽  
Dimitri Bertsekas
Keyword(s):  
Dynamic Programming ◽  
Production Control ◽  
Programming Technique ◽  
Control Policies

scholarly journals Dynamic Operation Management of a Renewable Microgrid including Battery Energy Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Shaozhen Jin ◽  
Zhizhong Mao ◽  
Hongru Li ◽  
Wenhai Qi
Keyword(s):  
Dynamic Programming ◽  
Energy Storage ◽  
Renewable Energy Sources ◽  
Main Idea ◽  
Optimal Operation ◽  
Optimal Control Strategy ◽  
Programming Technique ◽  
Battery Energy Storage ◽  
Comparison Results ◽  
Battery Energy

In this paper, a novel dynamic programming technique is presented for optimal operation of a typical renewable microgrid including battery energy storage. The main idea is to use the scenarios analysis technique to proceed the uncertainties related to the available output power of wind and photovoltaic units and dynamic programming technique to obtain the optimal control strategy for a renewable microgrid system in a finite time period. First, to properly model the system, a mathematical model including power losses of the renewable microgrid is established, where the uncertainties due to the fluctuating generation from renewable energy sources are considered. Next, considering the dynamic power constraints of the battery, a new performance index function is established, where the Lagrange multipliers and interior point method will be presented for the equality and inequality operation constraints. Then, a feedback control scheme based on the dynamic programming is proposed to solve the model and obtain the optimal solution. Finally, simulation and comparison results are given to illustrate the performance of the presented method.

scholarly journals Measurement of Allocative Biases of Production Control Policies

1978 ◽  
Vol 10 (2) ◽  
pp. 87-91 ◽  
Author(s):  
Robert D. Weaver
Keyword(s):  
Land Use ◽  
South Dakota ◽  
Empirical Evidence ◽  
Production Control ◽  
Control Policies ◽  
Empirical Application ◽  
Convenient Means ◽  
The Impact ◽  
North And South

Because of growing stocks of grain and the reinstitution of production controls, the question of what allocative impacts such controls imply is once again relevant. The prospect that restrictions on land use may initiate an intensification in the use of substitute inputs such as fertilizer, which are already high in price, is discouraging. Although the issue is an old one, empirical evidence on the extent of these effects is incomplete.1 The purpose of this article is to derive a convenient means of measuring the allocative effects of changes in input restrictions. As an example of empirical application, results are presented which indicate the impact of acreage restrictions during the marketing quota years in North and South Dakota.

Optimal distribution transformer sizing in a harmonic involved load environment via dynamic programming technique

Energy ◽  
2017 ◽  
Vol 120 ◽  
pp. 92-105 ◽  
Author(s):  
Ehsan Hajipour ◽  
Maryam Mohiti ◽  
Nima Farzin ◽  
Mehdi Vakilian
Keyword(s):  
Dynamic Programming ◽  
Optimal Distribution ◽  
Distribution Transformer ◽  
Programming Technique
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