scholarly journals Online Building Load Management Control with Plugged-in Electric Vehicles Considering Uncertainties

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1436 ◽  
Author(s):  
Moses Amoasi Acquah ◽  
Sekyung Han
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Management Control ◽  
Load Management ◽  
Energy Management System ◽  
Distributed Energy ◽  
Demand Forecast ◽  
Distributed Energy Storage ◽  
Building Load

Robust operation of load management control for a building is important to account for the uncertainty in demand as well as any distributed sources connected to the building. This paper discussed an online load management control solution using distributed energy storage (DES) while considering uncertainties in demand as well as DES to reduce peak demand for economic benefit. In recent years’ demand-side management (DSM) solutions using DES such as stationary energy management system (BESS) and plugged-in electric vehicles (PEV) have been popularised. Most of these solutions resort to deterministic load forecast for the day ahead energy scheduling and do not consider the uncertainties in demand and DES making these solutions vulnerable to uncertainties. This study presents an online density demand forecast, k-means clustering of PEV groups and stochastic optimisation for robust operation of BESS and PEV for a building. The proposed method accounts for uncertainties in demand and uncertainties due to mobile energy storage as presented by PEVs. For a case study, we used data obtained from an industrial site in South Korea. The verified results as compared to other methods with a deterministic approach prove the solution is efficient and robust.

scholarly journals Multi-Objective Optimization and Dispatch of Distributed Energy Resources for Renewable Power Utilization Considering Time-of-Use Tariff

2021 ◽  
Vol 9 ◽  
Author(s):  
Qinhao Xing ◽  
Meng Cheng ◽  
Shuran Liu ◽  
Qianliang Xiang ◽  
Hailian Xie ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Energy Resources ◽  
Energy Utilization ◽  
Distributed Energy Resources ◽  
Multi Objective Optimization ◽  
Distributed Energy ◽  
Demand Forecast ◽  
Multi Objective ◽  
The Impact

The intermittency of wind and solar power generation brings risks to the safety and stability of the power system. In order to maximize the utilization of renewables, optimal control and dispatch methods of the Distributed Energy Resources including the generators, energy storage and flexible demand are necessary to be researched. This paper proposes an optimization and dispatch model of an aggregation of Distributed Energy Resources in order to facilitate the integration of renewables while considering the benefits for dispatchable resources under time-of-use tariff. The model achieves multi-objective optimization based on the constraints of day-ahead demand forecast, wind and solar generation forecast, electric vehicles charging routines, energy storage and DC power flow. The operating cost, the renewable energy utilization and the revenues of storages and electric vehicles are considered and optimized simultaneously through the min–max unification method to achieve the multi-objective optimization. The proposed model was then applied to a modified IEEE-30 bus case, demonstrating that the model is able to reconcile all participants in the system. Sensitivity analysis was undertaken to study the impact of initial states of the storages on the revenues to the resource owners.

scholarly journals Impact of Electric Vehicles as Distributed Energy Storage in Isolated Systems: The Case of Tenerife

2015 ◽  
Vol 7 (11) ◽  
pp. 15152-15178 ◽  
Author(s):  
Alfredo Díaz ◽  
Francisco Ramos-Real ◽  
Gustavo Marrero ◽  
Yannick Perez
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Isolated Systems
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