An extensive review on energy management system for microgrids

Albert, Paul Arunkumar C P; Kuppusamy, Selvakumar; Muthusamy, Suresh; Pandiyan, Santhiya; Panchal, Hitesh; Nagaiyan, Pragash

doi:10.1080/15567036.2022.2075059

Cited by 23 publications

(8 citation statements)

References 111 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Microgrids can integrate different types of storage technologies, including batteries, ultracapacitors, pumped hydroelectric storage (PHS), flywheels, compressed air energy storage (CAES), superconducting magnetic energy storage (SMES), and hydrogen storage systems [53]. A hybrid energy storage system (HESS) improves performance by lowering operating costs, enhancing power rating, increasing lifetime, and reducing degradation.…”

Section: Microgrids Secondary Control: Mpc-based Power Sharingmentioning

confidence: 99%

Model Predictive Control Strategies in Microgrids: A Concise Revisit

et al. 2022

View full text Add to dashboard Cite

The world is rapidly integrating renewable energy resources into the existing grid systems. However, the unpredictable nature of renewables and uncertain load profiles cause issues such as poor power quality, lower system reliability, complex power management, battery degradation, high operating costs, and lower efficiency. Microgrids can help smart grid technology overcome several problems associated with renewable energy integration. Distant locations can obtain electricity without building extensive transmission infrastructure, cutting development costs, or transmission losses. The intermittent nature of renewable energy sources contributes to microgrid problems such as poor power quality, decreased reliability, and high operating costs. Model predictive control (MPC) is an effective method to address challenging industrial and scientific issues. Advancements in MPC that accept different system constraints have solved multiple concerns in uncertain microgrid systems. MPC applied to three hierarchal control layers in a microgrid resolves the problems of power quality, power sharing, energy management, and economic optimization. This study demonstrates that MPC microgrid control is suitable for low-cost operation, improved management, and reliable control. The shortcomings of recent model predictive control techniques for microgrids are reviewed, and future research directions for MPC microgrids are identified.INDEX TERMS Microgrids, renewable energy resources, model predictive control, power quality enhancement, energy management system, hybrid energy storage system, demand side management, demand response, distributed systems

show abstract

Section: Microgrids Secondary Control: Mpc-based Power Sharingmentioning

confidence: 99%

Model Predictive Control Strategies in Microgrids: A Concise Revisit

et al. 2022

View full text Add to dashboard Cite

show abstract

“…A microgrid may have controllable energy generation sources or renewable energy sources with a random nature, which makes the existence of an EMS to supply microgrid loads and optimal operation in different operating modes inevitable. This EMS is responsible for the optimal planning of energy resources and ESS devices to provide power to subscribers [ [8] , [9] , [10] ]. EMS activities aimed at ensuring security, stability [ [11] , [12] , [13] ], and optimal economic and environmental exploitation of microgrids can be presented in a hierarchical control framework [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Designing a multi-objective energy management system in multiple interconnected water and power microgrids based on the MOPSO algorithm

Alkuhayli,

Dashtdar,

Flah

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…A S fossil fuel-based energy resources have significantly harmed the environment, the growth of solar power has steadily emerged as a key strategy for advancing the transition to low-carbon energy [1] - [3]. However, with increased large-scale solar power installation, the need for energy storage technology has significantly increased [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Improved Energy Management Strategy for Prosumer Buildings with Renewable Energy Sources and Battery Energy Storage Systems

Sharma,

Kumar Saini,

Datt Mathur

et al. 2024

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

The concept of utilizing microgrids (MGs) to convert buildings into prosumers is gaining massive popularity because of its economic and environmental benefits. These prosumer buildings consist of renewable energy sources and usually install battery energy storage systems (BESSs) to deal with the uncertain nature of renewable energy sources. However, because of the high capital investment of BESS and the limitation of available energy, there is a need for an effective energy management strategy for prosumer buildings that maximizes the profit of building owner and increases the operating life span of BESS. In this regard, this paper proposes an improved energy management strategy (IEMS) for the prosumer building to minimize the operating cost of MG and degradation factor of BESS. Moreover, to estimate the practical operating life span of BESS, this paper utilizes a non-linear battery degradation model. In addition, a flexible load shifting (FLS) scheme is also developed and integrated into the proposed strategy to further improve its performance. The proposed strategy is tested for the real-time annual data of a grid-tied solar photovoltaic (PV) and BESS-powered AC-DC hybrid MG installed at a commercial building. Moreover, the scenario reduction technique is used to handle the uncertainty associated with generation and load demand. To validate the performance of the proposed strategy, the results of IEMS are compared with the well-established energy management strategies. The simulation results verify that the proposed strategy substantially increases the profit of the building owner and operating life span of BESS. Moreover, FLS enhances the performance of IEMS by further improving the financial profit of MG owner and the life span of BESS, thus making the operation of prosumer building more economical and efficient.

show abstract

An extensive review on energy management system for microgrids

Cited by 23 publications

References 111 publications

Model Predictive Control Strategies in Microgrids: A Concise Revisit

Model Predictive Control Strategies in Microgrids: A Concise Revisit

Designing a multi-objective energy management system in multiple interconnected water and power microgrids based on the MOPSO algorithm

Improved Energy Management Strategy for Prosumer Buildings with Renewable Energy Sources and Battery Energy Storage Systems

Contact Info

Product

Resources

About