scholarly journals Optimum energy management strategy in smart distribution networks considering the effect of distributed generators and energy storage units

2020 ◽  
Vol 8 (3) ◽  
pp. 22-29
Author(s):  
hossein lotfi ◽  
reza ghazi ◽  
mohammad bagher naghibi sistani ◽  
◽  
◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management Strategy ◽  
Distribution Networks ◽  
Energy Management Strategy ◽  
Distributed Generators ◽  
Optimum Energy ◽  
Storage Units

scholarly journals A fuzzy coordinated energy management strategy for energy storage units in DC multiport energy router

2021 ◽  
Vol 7 ◽  
pp. 5943-5954
Author(s):  
Chunyan Ma ◽  
Wanxing Sheng ◽  
Qing Duan ◽  
Guanglin Sha ◽  
Yuwei Peng ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management Strategy ◽  
Energy Management Strategy ◽  
Storage Units

scholarly journals Home Energy Management Strategy-Based Meta-Heuristic Optimization for Electrical Energy Cost Minimization Considering TOU Tariffs

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 537
Author(s):  
Rittichai Liemthong ◽  
Chitchai Srithapon ◽  
Prasanta K. Ghosh ◽  
Rongrit Chatthaworn
Keyword(s):  
Energy Management ◽  
Energy Cost ◽  
Management Strategy ◽  
Cost Minimization ◽  
Distribution Network ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Heuristic Optimization ◽  
Energy Management Strategy ◽  
Home Energy Management

It is well documented that both solar photovoltaic (PV) systems and electric vehicles (EVs) positively impact the global environment. However, the integration of high PV resources into distribution networks creates new challenges because of the uncertainty of PV power generation. Additionally, high power consumption during many EV charging operations at a certain time of the day can be stressful for the distribution network. Stresses on the distribution network influence higher electricity tariffs, which negatively impact consumers. Therefore, a home energy management system is one of the solutions to control electricity consumption to reduce electrical energy costs. In this paper, a meta-heuristic-based optimization of a home energy management strategy is presented with the goal of electrical energy cost minimization for the consumer under the time-of-use (TOU) tariffs. The proposed strategy manages the operations of the plug-in electric vehicle (PEV) and the energy storage system (ESS) charging and discharging in a home. The meta-heuristic optimization, namely a genetic algorithm (GA), was applied to the home energy management strategy for minimizing the daily electrical energy cost for the consumer through optimal scheduling of ESS and PEV operations. To confirm the effectiveness of the proposed methodology, the load profile of a household in Udonthani, Thailand, and the TOU tariffs of the provincial electricity authority (PEA) of Thailand were applied in the simulation. The simulation results show that the proposed strategy with GA optimization provides the minimum daily or net electrical energy cost for the consumer. The daily electrical energy cost for the consumer is equal to 0.3847 USD when the methodology without GA optimization is used, whereas the electrical energy cost is equal to 0.3577 USD when the proposed methodology with GA optimization is used. Therefore, the proposed optimal home energy management strategy with GA optimization can decrease the daily electrical energy cost for the consumer up to 7.0185% compared to the electrical energy cost obtained from the methodology without GA optimization.

scholarly journals Energy Management Strategy for Grid-Tied Microgrids Considering the Energy Storage Efficiency

2018 ◽  
Vol 65 (12) ◽  
pp. 9539-9549 ◽  
Author(s):  
Ji Wu ◽  
Xiaowen Xing ◽  
Xingtao Liu ◽  
Josep M. Guerrero ◽  
Zonghai Chen
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management Strategy ◽  
Storage Efficiency ◽  
Energy Management Strategy ◽  
Energy Storage Efficiency
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