An optimal operation model of energy internet considering the multi-time-scale stochastic characteristics of renewable energy sources

Author(s):  
Bingke Yan ◽  
Xiaoping Li ◽  
Xin Shu ◽  
Kunpeng Zhou ◽  
Kan Cao ◽  
...  
Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 687 ◽  
Author(s):  
Lizhi Zhang ◽  
Fan Li ◽  
Bo Sun ◽  
Chenghui Zhang

The combined cooling, heating, and power (CCHP) systems coupled with solar energy and biomass energy can meet the needs of island or rural decentralized and small-scale integrated energy use, which have become increasingly popular in recent years. This study presents a renewable energy sources integrated combined cooling, heating, and power (RES-CCHP) system, driven by a biogas fueled internal combustion engine (ICE) and photovoltaic (PV) panels, which is different from the traditional natural gas CCHP system. Owing to the solar energy volatility and the constraint of biomass gas production, the traditional optimization design method is no longer applicable. To improve the energetic, economic and environmental performances of the system, an integrated design method with renewable energy capacity, power equipment capacity and key operating parameters as optimization variables is proposed. In addition, a case study of a small farm in Jinan, China, is conducted to verify the feasibility of the proposed RES–CCHP system structure and the corresponding optimal operation strategy. The results illustrate that the implementation of the optimal design is energy-efficient, economical and environmentally-friendly. The values of primary energy saving ratio, annual total cost saving rate and carbon emission reduction ratio are 20.94%, 11.73% and 40.79%, respectively. Finally, the influence of the volatility of renewable energy sources on the optimization method is analyzed, which shows that the RES–CCHP system and the method proposed are robust.


Energy ◽  
2019 ◽  
Vol 186 ◽  
pp. 115841 ◽  
Author(s):  
Mustafa Ata ◽  
Ayşe Kübra Erenoğlu ◽  
İbrahim Şengör ◽  
Ozan Erdinç ◽  
Akın Taşcıkaraoğlu ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5482
Author(s):  
Shabir Ahmad ◽  
Israr Ullah ◽  
Faisal Jamil ◽  
DoHyeun Kim

Renewable energy sources are environmentally friendly and cost-efficient. However, the problem with these renewable resources is their heavy reliance on weather conditions. Thus, at times, these solutions are not guaranteed to meet the required demand all the time. For this, hybrid microgrids are introduced, which have a combination of both renewable energy sources and non-renewable energy resources. In this paper, a cost-efficient optimization algorithm is proposed that minimizes the use of non-renewable energy sources. It maximizes the use of renewable energy resources by meeting the demand for utility grids. Real data based on the load and demand of the utility grids in Italy is used, and a system that determines the optimal sizing of the microgrid and a daily plan is introduced to optimize the renewable resources operations. As part of the proposal, the objective function for the operation and planning of the microgrid in such a way to minimize cost is formulated. Moreover, a variant of the PSO algorithm named recurrent PSO is implemented. The recurrent PSO algorithm solves the proposed optimization objective function by minimizing the cost for the installation and working of the microgrid. Afterwards, the energy management system algorithm lays out a plan for the daily operation of the microgrid. The performance of the system is evaluated using different state-of-the-art optimization methods. The proposed work can help minimize the use of diesel generators, which not only saves financial resources but also contributes toward a green environment.


Sign in / Sign up

Export Citation Format

Share Document