Uncertainty based configuration design and optimal operation of a grid-connected Micro-Grid

2013 ◽  
Author(s):  
Shervin Parvini Ahamdi ◽  
Sajjad Naderi Lordejani ◽  
Ashkan Rahimi-Kian ◽  
Amin Mohammadi Milasi ◽  
Pouya Mahdavipour Vahdati
Keyword(s):  
Optimal Operation ◽  
Configuration Design ◽  
Micro Grid

Community Based of CHP Microgrid Optimal Operation

2014 ◽  
Vol 981 ◽  
pp. 673-676
Author(s):  
Rui Li ◽  
Peng Li
Keyword(s):  
Optimal Operation ◽  
Test Results ◽  
Community Based ◽  
Micro Grid ◽  
Grid Operation

This paper presents a community-based CHP microgrid model for optimal operation. The model introduces a microgrid controller and consumption parameters, and that the existing restrictions, the optimization of microgrid operation.bacterial foraging optimization(BFO) algorithm was used to develop microgrid problems. Test results show the effectiveness of the model micro-grid operation.

Micro-Grid Energy Optimization Include Battery-Swapping-Station

2014 ◽  
Vol 672-674 ◽  
pp. 1358-1363
Author(s):  
Liu Shu ◽  
Fang Liu ◽  
Xiu Yang
Keyword(s):  
Genetic Algorithm ◽  
Renewable Energy ◽  
Electric Vehicle ◽  
Negative Impact ◽  
Operating Cost ◽  
Energy Optimization ◽  
Optimal Operation ◽  
Operation Efficiency ◽  
Micro Grid ◽  
Minimum Operating

Accessing electric vehicle (EV) into micro-grid (MG) by battery-swapping station (BSS) will not only reduce the negative impact brought by EVs which are directly accessed into MG, but also improve the capacity of MG to absorb more renewable energy. That BSS is regarded as schedulable load is guided to avoid peak and fill valley according to TOU. As a result, the gap between peak and valley of MG is decreased and the operation efficiency of MG is elevated. A specific MG is taken as the studying object and the minimum operating cost is regarded as the optimizing goal, then the genetic algorithm is used to optimize the outputting of each micro-source and the charging power of BSS so that the optimal operation is realized.

scholarly journals Optimal Operation Management in A Micro-Grid System Using Particle Swarm Optimization

2019 ◽  
Vol 1346 ◽  
pp. 012003
Author(s):  
Waleed Karrar ◽  
Zhang Zhen ◽  
Ebrahim Mohammed ◽  
Waleed M Ismael ◽  
Zhu Zengwei
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Optimal Operation ◽  
Operation Management ◽  
Grid System ◽  
Swarm Optimization ◽  
Micro Grid

Research for Smart Micro-Grid System of Optimal Operation on the Island

2014 ◽  
Vol 986-987 ◽  
pp. 449-452 ◽  
Author(s):  
Jiao Jiao Liu ◽  
Zhi Jie Wang ◽  
Zhen Hai Zhang ◽  
Yi Zhi Ye
Keyword(s):  
Genetic Algorithm ◽  
Energy System ◽  
Optimal Operation ◽  
Tidal Wave ◽  
Grid System ◽  
New Energy ◽  
Micro Grid ◽  
Dynamic Economic Dispatch ◽  
Operation Cost

The paper introduces the advantage of the application of new energy generation, and then describes the structure of a smart micro-grid system built on an island which includes wind, solar, tidal-wave energy system. The method of day-ahead optimal operation was applied to smart micro-grid system on the island to minimize the operation cost by using genetic algorithm. Taking actual datum of Shanghai Electric Group’s micro-grid for case study, the dynamic economic dispatch is compared with traditional dispatch strategy. The results verify the effectiveness of the dynamic economic.

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