An optimization model for regional micro-grid system management based on hybrid inexact stochastic-fuzzy chance-constrained programming

2015 ◽  
Vol 64 ◽  
pp. 1025-1039 ◽  
Author(s):  
L. Ji ◽  
D.X. Niu ◽  
M. Xu ◽  
G.H. Huang
Keyword(s):  
Optimization Model ◽  
System Management ◽  
Chance Constrained Programming ◽  
Grid System ◽  
Fuzzy Chance Constrained Programming ◽  
Micro Grid ◽  
Constrained Programming

Micro-Grid Energy Optimization Base on Installing Heat Storage Tank to Decouple “Heat-Load-Based” Running Constraint of CHP

2014 ◽  
Vol 672-674 ◽  
pp. 1274-1280
Author(s):  
Shan Shan Shi ◽  
Fang Liu ◽  
Xiu Yang
Keyword(s):  
Heat Load ◽  
Storage Tank ◽  
Heat Storage ◽  
Operation Mode ◽  
Operating Cost ◽  
Electric Energy ◽  
Optimization Method ◽  
Chance Constrained Programming ◽  
Micro Grid ◽  
Constrained Programming

Installing heat storage tank (HST) to decouple CHP “heat-load-based” running mode, which will improve operation efficiency of CHP and enhance the ability of peak-adjusting in micro-grid (MG) system, and also be benefit for MG to consume high penetration renewable energy. For the randomness of wind turbines and photovoltaics output and the volatility of loads, a comprehensive optimization method for MG heat and electric energy based on chance-constrained programming is proposed. This method has considered thermal balance constraints and HST operation constraints, which made MG minimum operating cost as optimization goal, and optimize the output of each micro-source by genetic algorithm to form the best operation mode.

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