scholarly journals Objective Trade-off in MPC Based Energy Management for Microgrids

2019 ◽  
Author(s):  
Dominik Mildt ◽  
Marco Cupelli ◽  
Antonello Monti
Keyword(s):  
Energy Management ◽  
Trade Off

scholarly journals A Study of Control Methodologies for the Trade-Off between Battery Aging and Energy Consumption on Electric Vehicles with Hybrid Energy Storage Systems

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 600
Author(s):  
Kevin Mallon ◽  
Francis Assadian
Keyword(s):  
Energy Consumption ◽  
Energy Storage ◽  
Electric Vehicle ◽  
Energy Management ◽  
Storage Systems ◽  
Storage System ◽  
Energy Storage System ◽  
Trade Off ◽  
Hybrid Energy ◽  
Hybrid Energy Storage

Hybrid and electric vehicle batteries deteriorate from use due to irreversible internal chemical and mechanical changes, resulting in decreased capacity and efficiency of the energy storage system. This article investigates the modeling and control of a lithium-ion battery and ultracapacitor hybrid energy storage system for an electric vehicle for improved battery lifespan and energy consumption. By developing a control-oriented aging model for the energy storage components and integrating the aging models into an energy management system, the trade-off between battery degradation and energy consumption can be minimized. This article produces an optimal aging-aware energy management strategy that controls both battery and ultracapacitor aging and compares these results to strategies that control only battery aging, strategies that control battery aging factors but not aging itself, and non-optimal benchmark strategies. A case study on an electric bus with variously-sized hybrid energy storage systems shows that a strategy designed to control battery aging, ultracapacitor aging, and energy losses simultaneously can achieve a 28.2% increase to battery lifespan while requiring only a 7.0% decrease in fuel economy.

scholarly journals An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3091 ◽  
Author(s):  
Bilal Hussain ◽  
Nadeem Javaid ◽  
Qadeer Hasan ◽  
Sakeena Javaid ◽  
Asif Khan ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Management Systems ◽  
Efficient Operation ◽  
Power Sources ◽  
Trade Off ◽  
Energy Management Systems ◽  
Trade Offs ◽  
Home Energy Management

A demand response (DR) based home energy management systems (HEMS) synergies with renewable energy sources (RESs) and energy storage systems (ESSs). In this work, a three-step simulation based posteriori method is proposed to develop a scheme for eco-efficient operation of HEMS. The proposed method provides the trade-off between the net cost of energy ( C E n e t ) and the time-based discomfort ( T B D ) due to shifting of home appliances (HAs). At step-1, primary trade-offs for C E n e t , T B D and minimal emissions T E M i s s are generated through a heuristic method. This method takes into account photovoltaic availability, the state of charge, the related rates for the storage system, mixed shifting of HAs, inclining block rates, the sharing-based parallel operation of power sources, and selling of the renewable energy to the utility. The search has been driven through multi-objective genetic algorithm and Pareto based optimization. A filtration mechanism (based on the trends exhibited by T E M i s s in consideration of C E n e t and T B D ) is devised to harness the trade-offs with minimal emissions. At step-2, a constraint filter based on the average value of T E M i s s is used to filter out the trade-offs with extremely high values of T E M i s s . At step-3, another constraint filter (made up of an average surface fit for T E M i s s ) is applied to screen out the trade-offs with marginally high values of T E M i s s . The surface fit is developed using polynomial models for regression based on the least sum of squared errors. The selected solutions are classified for critical trade-off analysis to enable the consumer choice for the best options. Furthermore, simulations validate our proposed method in terms of aforementioned objectives.

scholarly journals Energy management of islanded microgrid for reliability and cost trade-off with PV, energy storage, and diesel generator

2020 ◽  
Vol 3 (6) ◽  
pp. 870-881
Author(s):  
Kannan Thirugnanam ◽  
See Gim Kerk ◽  
Wayes Tushar ◽  
Chau Yuen
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Diesel Generator ◽  
Trade Off ◽  
Islanded Microgrid

scholarly journals Trade-Off between Precision and Resolution of a Solar Power Forecasting Algorithm for Micro-Grid Optimal Control

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3565
Author(s):  
Jean-Laurent Duchaud ◽  
Cyril Voyant ◽  
Alexis Fouilloy ◽  
Gilles Notton ◽  
Marie-Laure Nivet
Keyword(s):  
Optimal Control ◽  
Energy Management ◽  
Management Strategies ◽  
Time Discretization ◽  
Time Step ◽  
Trade Off ◽  
Forecast Models ◽  
Error Metric ◽  
Forecast Time ◽  
Solar Power Forecasting

With the development of micro-grids including PV production and storage, the need for efficient energy management strategies arises. One of their key components is the forecast of the energy production from very short to long term. The forecast time-step is an important parameter affecting not only its accuracy but also the optimal control time discretization, hence its efficiency and computational burden. To quantify this trade-off, four machine learning forecast models are tested on two geographical locations for time-steps varying from 2 to 60 min and horizons from 10 min to 6 h, on global irradiance horizontal and tilted when data was available. The results are similar for all the models and indicate that the error metric can be reduced up to 0.8% per minute on the time-step for forecasts below one hour and up to 1.7% per ten minutes for forecasts between one and six hours. In addition, it is shown that for short term horizons, it may be advantageous to forecast with a high resolution then average the results at the time-step needed by the energy management system.

scholarly journals An Energy Management Controller to Optimally Trade Off Fuel Economy and Drivability for Hybrid Vehicles

2012 ◽  
Vol 20 (6) ◽  
pp. 1490-1505 ◽  
Author(s):  
Daniel F. Opila ◽  
Xiaoyong Wang ◽  
Ryan McGee ◽  
R. Brent Gillespie ◽  
Jeffrey A. Cook ◽  
...  
Keyword(s):  
Energy Management ◽  
Fuel Economy ◽  
Hybrid Vehicles ◽  
Trade Off

A Flow-Preserving Algorithm for the Time-Cost Trade-Off Problem

1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  
Time Cost ◽  
Trade Off

Dual Goals for Speed and Accuracy on the Same Performance Task

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt
Keyword(s):  
Memory Scanning ◽  
Performance Task ◽  
Performance Tasks ◽  
Trade Off ◽  
Test Experiment ◽  
Trade Offs ◽  
New Finding ◽  
Sternberg Paradigm ◽  
Speed Accuracy ◽  
Speed And Accuracy

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.

Sign in / Sign up

Export Citation Format

Share Document