Stochastic bi-level coordination of active distribution network and renewable-based microgrid considering eco-friendly Compressed Air Energy Storage system and Intelligent Parking Lot

2021 ◽  
Vol 278 ◽  
pp. 122808
Author(s):  
Sara Haghifam ◽  
Afshin Najafi-Ghalelou ◽  
Kazem Zare ◽  
Miadreza Shafie-khah ◽  
Ali Arefi
Author(s):  
Jijun Liu ◽  
Yuxin Bai ◽  
Yingfeng He

This work aims at solving complex problems of the optimal scheduling model of active distribution network, teaching strategies are proposed to improve the global search ability of particle swarm optimization. Moreover, based on the improved Euclidean distance cyclic crowding sorting strategy, the convergence ability of Li Zhiquan algorithm is improved. With the cost and voltage indexes of the energy storage system of the distribution network as the goal, different optimized configuration schemes are constructed, and the improved HTL-MOPSO algorithm is adopted to find the solution. The results show that compared with the traditional TV-MOPSO algorithm, the proposed algorithm has better convergence performance and optimization ability, and has a lower economic cost. In short, the algorithm proposed can provide a basis for improving the optimization of active distribution network scheduling strategies.


2021 ◽  
Vol 313 ◽  
pp. 06003
Author(s):  
Giovanni Ricco

At present time, the SE applied to solar dish reflectors is not competitive compared to other concentrated solar power technologies because Stirling CSP equipment has complex and expensive engines and does not have a proper energy storage system. This paper introduces Stirling solar dish technology, proposes a layout of a simple SE with compressed air storage system, and examines the total performance of the equipment.


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