Minimizing the energy cost for microgrids integrated with renewable energy resources and conventional generation using controlled battery energy storage

2016 ◽  
Vol 97 ◽  
pp. 646-655 ◽  
Author(s):  
Muhammad Khalid ◽  
Abdollah Ahmadi ◽  
Andrey V. Savkin ◽  
Vassilios G. Agelidis
2014 ◽  
Vol 986-987 ◽  
pp. 371-376 ◽  
Author(s):  
Yan Zhang ◽  
Bo Guo ◽  
Tao Zhang

This paper discusses using the battery energy storage system (BESS) to mitigate intermittency and sustain stability of distribution system integrating high penetration level of renewable energy resources (RER). The goal of the control is to have the BESS provide as much smoothing as possible, so that the RER power can be dispatchable in some kind and reliable. The effectiveness of model predictive control (MPC) based approach proposed in this paper have been tested by detail case study, also compared with the day ahead control strategy, load following strategy , and normal situation without energy storage which are usually used before. The result shows that the proposed MPC based approach is more practical, and more robust.


Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5517 ◽  
Author(s):  
Hussein M. Abdeltawab ◽  
Yasser A. I. Mohamed

This paper presents a multiagent system (MAS) day-ahead co-operation framework between renewable energy resources (RESs) and Battery Energy Storage Systems (BESSs) owned by different stakeholders. BESSs offer their storage services to RESs by shifting RES power to sell it during profitable peak-hours (aka; time-shifting). The MAS framework consists of three phases. Phase-one is a pre-auction phase that defines the maximum charging and discharging BESS power limits. These limits guarantee a reliable distribution system operation without violating the buses’ voltage limits or the ampacity of the branches. Phase-two is an auctioning phase between the BESS-agents and the RES-agents. Each agent has a different owner with a specific profit agenda and risk levels. The agent tries to maximize the profit potential of the owner. The agents use historical trade data and expected weather conditions to maximize profitability. Phase-three is called the post-auctioning phase, in which the agreement between the BESS- and RES-agents is finalized, and the agents are ready for another 3-phases trade. Case studies compare different auctioning strategies and prove the effectiveness of the proposed MAS system.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2503
Author(s):  
Paulo Rotella Junior ◽  
Luiz Célio Souza Rocha ◽  
Sandra Naomi Morioka ◽  
Ivan Bolis ◽  
Gianfranco Chicco ◽  
...  

Sources such as solar and wind energy are intermittent, and this is seen as a barrier to their wide utilization. The increasing grid integration of intermittent renewable energy sources generation significantly changes the scenario of distribution grid operations. Such operational challenges are minimized by the incorporation of the energy storage system, which plays an important role in improving the stability and the reliability of the grid. This study provides the review of the state-of-the-art in the literature on the economic analysis of battery energy storage systems. The paper makes evident the growing interest of batteries as energy storage systems to improve techno-economic viability of renewable energy systems; provides a comprehensive overview of key methodological possibilities for researchers interested in economic analysis of battery energy storage systems; indicates the need to use adequate economic indicators for investment decisions; and identifies key research topics of the analyzed literature: (i) photovoltaic systems with battery energy storage systems for residential areas, (ii) comparison between energy storage technologies, (iii) power quality improvement. The last key contribution is the proposed research agenda.


2021 ◽  
Author(s):  
Hassan Hayajneh ◽  
Xuewei Zhang

To minimize the curtailment of renewable generation and incentivize grid-scale energy storage deployment, a concept of combining stationary and mobile applications of battery energy storage systems built within renewable energy farms is proposed. A simulation-based optimization model is developed to obtain the optimal design parameters such as battery capacity and power ratings by solving a multi-objective optimization problem that aims to maximize the economic profitability, the energy provided for transportation electrification, the demand peak shaving, and the renewable energy utilized. Two applications considered for the stationary energy storage systems are the end-consumer arbitrage and frequency regulation, while the mobile application envisions a scenario of a grid-independent battery-powered electric vehicle charging station network. The charging stations receive supplies from the energy storage system that absorbs renewable energy, contributing to a sustained DC demand that helps with revenues. Representative results are presented for two operation modes and different sets of weights assigned to the objectives. Substantial improvement in the profitability of combined applications over single stationary applications is shown. Pareto frontier of a reduced dimensional problem is obtained to show the trade-off between design objectives. This work could pave the road for future implementations of the new form of energy storage systems.<br>


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