Battery Scheduling
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TY - JOUR T1 - Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile AU - Zhang, Le AU - Wang, Shuaian AU - Qu, Xiaobo N1 - Funding Information: This work is supported by JPI Urban Europe project SMUrTS.
Optimal electric bus fleet scheduling considering battery …
TY - JOUR T1 - Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile AU - Zhang, Le AU - Wang, Shuaian AU - Qu, Xiaobo N1 - Funding Information: This work is supported by JPI Urban Europe project SMUrTS.
Future Transportation | Free Full-Text | A Simulated Annealing Approach to the Scheduling of Battery …
2 · With an increasing adoption of battery-electric bus (BEB) fleets, developing a reliable charging schedule is vital to a successful migration from their fossil fuel counterparts. In this paper, a simulated annealing (SA) implementation is developed for a charge scheduling framework for a fixed-schedule fleet of BEBs that utilizes a …
Optimal battery scheduling in solar-plus-storage grid-connected …
Optimal energy management algorithm for a solar-plus-storage grid-connected microgrid. • Hybrid financial optimality: maximizing profits during net cash inflow and minimizing costs during net cash outflow. • Dynamic programming as …
Combined HVAC and Battery Scheduling for Demand Response in …
This article will discuss and simulate a demand management algorithm in a building with a battery energy storage system (BESS) and heating ventilation air conditioning (HVAC) scheduling using the model predictive control (MPC). Behind-the-meter energy storage system is used for modifying the load shape and minimizing the …
Deep Reinforcement Learning-Based Security-Constrained Battery Scheduling …
The home energy system today involves multiple renewable energy sources and battery energy storage systems, which can be considered as a microgrid. The battery energy storage system is a key component in the home energy system for the sake of filling the gap between the user demand and volatile energy supplies to maximize the techno …
Optimizing utility-scale battery storage dispatch
Battery scheduling choices One way to operate a utility-scale battery is to buy and sell power in the Day-Ahead (DA) wholesale electricity market. "Buy low, sell high" is the name of this game. Battery …
Stochastic fast charging scheduling of battery electric buses with …
Given BEB battery capacities, bus timetables, bus fleet size, ESS capacities, and battery degradation factors, the decision-maker needs to make a near-optimal charging schedule. It includes determining whether BEBs are charged via fast-chargers or ESS chargers, as well as specifying the start times and durations of charging …
A sustainable battery scheduling and echelon utilization …
This study presents a sustainable battery scheduling and echelon utilization framework for an electric bus network integrated with PESS. A battery capacity fading model is employed to capture the impacts of …
A sustainable battery scheduling and echelon utilization …
Battery capacity degradation in battery electric buses (BEBs) poses a significant operational challenge for transit agencies. This study presents a sustainable battery scheduling and echelon utilization framework considering battery capacity fading and charging ...
Deep Reinforcement Learning for Community Battery Scheduling …
Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices Jiarong Fan1, Hao Wang1,2* 1Department of Data Science and AI, Faculty of IT, Monash University, Melbourne, VIC 3800, Australia 2Monash Energy Institute, Monash University, Melbourne, VIC 3800, Australia ...
Research papers Enhanced chimp optimized self-tuned FOPR controller for battery scheduling …
The battery scheduling through the proposed ECOA-FOPR controller is shown in Fig. 10. As it is shown that the battery in the EV gets charged while it is connected to the charging station. With the proper scheduling of …
Reinforcement learning-based optimal scheduling model of battery …
Installing the battery energy storage system (BESS) and optimizing its schedule to effectively address the intermittency and volatility of photovoltaic (PV) systems has emerged as a critical research challenge. Nonetheless, some existing studies still have limitations ...
Optimal Scheduling of Battery Energy Storage Systems Using a …
The primary objective is to accomplish optimal scheduling of batteries one day in advance to reduce electricity costs while maintaining battery health and primary power supply reliability. The methods proposed in this work provide practicable grid and …
Integrating Life Cycle Principles in Home Energy Management Systems: Optimal Load PV Battery Electric Vehicle Scheduling
Batteries 2024, 10, 138 3 of 30 energy flow strategy focused on scheduling power generation from the PV system, biogas engine generator, energy stored in the battery, and grid. In the event of a shortage of …
Smart and optimization-based operation scheduling strategies for maximizing battery …
This study proposes two day-ahead battery-behavior-aware operation scheduling strategies to maximize profitability and longevity in residential grid-connected applications with dynamic electricity pricing. Each scenario employs unique approaches to make The ...
Title: Deep Reinforcement Learning for Community Battery …
This paper presents a deep reinforcement learning (RL) strategy, centered around the soft actor-critic (SAC) algorithm, to schedule a community battery system in …
Full Life-Cycle Optimal Battery Scheduling for Maximal Lifetime …
This paper presents a co-optimization method of battery full life-cycle scheduling and lifespan for its maximal lifetime value, involving usage limits, nonlinear …
Impact of uncertainty on optimal battery operation for price …
4.1. Case 1: single-interval battery scheduling The uncertainty of the PV power and loads, which can be expressed with the PDFs of forecast errors, significantly influences the optimal battery schedule. In this subsection, several …
Optimal Microgrid Battery Scheduling Using Simulated Annealing
DOI: 10.1109/PEREA51218.2020.9339727 Corpus ID: 231824230 Optimal Microgrid Battery Scheduling Using Simulated Annealing @article{L2020OptimalMB, title={Optimal Microgrid Battery Scheduling Using Simulated Annealing}, author={Aiswariya L and T. P. Imthias Ahamed and Sheik Mohammed S}, journal={2020 International Conference on Power …
Optimal activity and battery scheduling algorithm using load and …
The aim of this competition was to develop an optimal activity and battery scheduling algorithm taking into account the predictions of the baseload, scheduling constraints and …
Age-Optimal UAV Scheduling for Data Collection With Battery Recharging
We study route scheduling of a UAV for data collection from sensor nodes (SNs) with battery recharging. The freshness of the collected information is captured by the metric of age of information (AoI). The objective is to minimize the average AoI cost of all SNs over a scheduling time horizon. We prove that the problem in its general form is NP-hard. Then, …
Energy scheduling of community microgrid with battery cost using …
Semantic Scholar extracted view of "Energy scheduling of community microgrid with battery cost using particle swarm optimisation" by Md. Alamgir Hossain et al. DOI: 10.1016/J.APENERGY.2019.113723 Corpus ID: 202101114 Energy scheduling of …
Full Life-Cycle Optimal Battery Scheduling for Maximal Lifetime …
Power battery scheduling optimization can improve the service life of the battery, but the existing heuristic algorithm has poor adaptability, and the capacity fluctuates significantly in the ...
Battery Scheduling Problem
Different batteries have different desirable properties like energy density, peak power, recharge time, longevity, efficiency, etc. So, it is beneficial if we multiplex different types of batteries in a single device. In this paper, we look at ways of scheduling...
Title: Optimal activity and battery scheduling algorithm using load …
Optimal activity and battery scheduling algorithm using load and solar generation forecasts. Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh, S. Ali …
Optimal scheduling of virtual power plant with battery degradation …
Furthermore, the battery degradation cost is modelled and approximated by a piecewise linear function, and then incorporated into the proposed optimal VPP scheduling model. Consequently, the optimal VPP scheduling problem is formulated as a two-stage stochastic mixed-integer linear programming in order to maximise the expected profits of the VPP.
Optimal Scheduling for Behind-the-Meter Batteries under …
The increasing deployment of photovoltaic systems and behind-the-meter batteries into power distribution systems has increased interest in optimal system operating conditions. Electricity tariff, as an indirect factor, plays a pivotal role in controlling the customers'' behavior, especially in the presence of batteries. The residential sector, as one of the …
Title: Deep Reinforcement Learning for Community Battery Scheduling …
In response to the growing uptake of distributed energy resources (DERs), community batteries have emerged as a promising solution to support renewable energy integration, reduce peak load, and enhance grid reliability. This paper presents a deep reinforcement learning (RL) strategy, centered around the soft actor-critic (SAC) …
Energies | Free Full-Text | A Multi-Agent Reinforcement Learning …
This work presents a DRL-based battery scheduling framework to solve battery scheduling problems, with high flexibility to fit various battery models and …
Optimization Model of Battery Electric Bus Scheduling Combined …
The existing battery electric bus scheduling usually ignored the impact of real-time road network state, and the bus arrival time in congestion is far from the planned schedule. Therefore, this paper comprehensively considers the real-time road network state and bus passenger flow demand and establishes an optimization model of battery electric bus …
Optimal Residential Battery Scheduling with Asset Lifespan …
In this paper, we propose a control algorithm for residential batteries that determines optimal day-ahead battery scheduling and operation with the aim to minimize household …
Online battery scheduling for enhanced profitability and longevity …
Semantic Scholar extracted view of "Online battery scheduling for enhanced profitability and longevity in pay-for-performance frequency regulation markets" by Zonglin Liu et al. DOI: 10.1016/j.epsr.2024.110550 Corpus ID: 270462443 Online battery scheduling for ...
Battery-Aware Workflow Scheduling for Portable Heterogeneous …
Excessive energy consumption and prominent current fluctuations can lead to a sharp decline of battery endurance. To address this issue, a battery-aware workflow …
Research papers Enhanced chimp optimized self-tuned FOPR controller for battery scheduling …
3.4. Battery scheduling In this proposed work, the energy from the SPV is stored in the lithium-ion battery to deliver consistent power to the EV. In EV, lithium-ion battery is commonly used due to their high power, less rate of …
Online battery scheduling for enhanced profitability and longevity …
Long-term scheduling of battery storage systems in energy and regulation markets considering battery''s lifespan IEEE Trans. Smart Grid, 9 (6) (2018), pp. 6840-6849, 10.1109/TSG.2017.2724919 View in Scopus Google Scholar …