scholarly journals Optimal operation of energy storage units in distributed system using social spider optimization algorithm

2019 ◽  
Vol 3 (4) ◽  
pp. 309-327
Author(s):  
Mehdi Tabasi ◽  
◽  
Pouyan Asgharian ◽  
Keyword(s):  
Energy Storage ◽  
Distributed System ◽  
Optimization Algorithm ◽  
Optimal Operation ◽  
Social Spider ◽  
Social Spider Optimization ◽  
Storage Units

scholarly journals The Value and Optimal Sizes of Energy Storage Units in Solar-Assist Cogeneration Energy Hubs

2020 ◽  
Vol 10 (14) ◽  
pp. 4994
Author(s):  
Xiaotao Chen ◽  
Yang Si ◽  
Chengkui Liu ◽  
Laijun Chen ◽  
Xiaodai Xue ◽  
...  
Keyword(s):  
Energy Storage ◽  
Optimal Operation ◽  
Affine Function ◽  
Energy Hub ◽  
Solar Thermal Collector ◽  
Optimal Value ◽  
Industrial Use ◽  
The Cost ◽  
Storage Units ◽  
Operation Cost

Cogeneration is becoming increasingly popular in building and community energy systems with demands on electricity and heat, which is suitable for residential and industrial use in remote areas. This paper considers a stand-alone cogeneration energy hub. The electrical and thermal energies are produced by a combined heat and power (CHP) unit, photovoltaic panels, and a solar thermal collector. Since solar units generate no electricity and heat during the night, energy storage units which shift demands over time can promote the usage of solar energy and reduce the fuel cost of the CHP unit. This paper proposes a method to retrieve the optimal operation cost as an explicit function in the capacity parameters of electric and thermal energy storage units, reflecting the value of energy storage in the cogeneration energy hub. The capacity parameter set is divided into a collection of polyhedrons; on each polyhedron, the optimal value is an affine function in the capacity parameters. Furthermore, the optimal sizes of system components are discussed. The capacity of the CHP unit is determined from a linear program, ensuring supply adequacy; the capacities of solar generation and energy storage units are calculated based on the cost reduction and the budget. Case studies demonstrate the effectiveness of the proposed method.

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