Energy management of renewable energy-based microgrid system with HESS for various operation modes

Abstract

This paper proposes a ramp-rate control approach for a grid-connected MG with a hybrid energy storage system. Distributed energy sources (DERs), such as solar photovoltaic (PV) and wind, combined with energy storage (ES) and controllable loads, are critical to a power grid that can handle the intermittent nature of renewable energy sources. Therefore, the complexity of the system is increasing as researchers move towards a more renewable based power grid. An energy management system (EMS) for microgrids must consider the power available in RESs as well as the storage capacity of energy storage devices (ESSs). Modern MGs include a wide range of converters for a variety of applications, including distributed generation interconnection, grid integration, energy storage management systems, and demand management, among others. So, the ramp-rate control smooths fluctuations in photovoltaic power, which increases system reliability. In the proposed system, 80 V DC is used to supply high and low power DC loads. The suggested system can extract the maximum amount of energy from RESs, maintain efficient ESS management, and achieves quick DC-link voltage regulation with settling time of 230 ms throughout all operating modes. These conditions are met by the energy management system, which gives the MG with operational capability and ensures its reliability. The MG with proposed features and EMS was validated using the MATLAB/Simulink environment, and results were obtained using the Hardware-in-the-Loop (HIL) experimental test bench. The proposed small-scale RES-based MG can be used to develop and test algorithms for a wide range of MG applications.

A novel framework for photovoltaic energy optimization based on supply–demand constraints

“…Since there are selfish betrayers in the group, they will choose not to cooperate as their best policy. The conflict between the "betrayal" individual optimal strategy and group optimal strategy, that is, social dilemma (Kalathil et al, 2019;Kumar and Palanisamy, 2022), is the key problem to be solved by TPGG.…”

“…Kalathil et al (2019) considered the sharing economy as the starting point, discussed the sharing of energy storage resources in the spot market, and established a general model of shared energy storage through a non-cooperative game method. Kumar and Palanisamy (2022) applied overbooking operation strategies in aviation and other fields to establish a joint operation model of community-distributed photovoltaics and energy storage under the sharing mode, thereby improving the utilization of energy storage resources and the economical electricity consumption of users in the community. Khezri et al (2023b) proposed a dual-layer energy storage configuration and operation method that takes into account the investment benefits of users and energy storage suppliers in a sharing scenario and improves the flexibility of energy storage resource utilization through capacity leasing.…”

Energy-saving optimal scheduling under multi-mode “source-network-load-storage” combined system in metro station based on modified GrayWolf Algorithm

“…Reference [14] proposed a two-layer optimization model, which can improve the efficiency of model solving. For energy management strategies, References [15][16][17][18][19][20] proposed various energy management strategies and optimal scheduling schemes with economy and environmental protection as the main objectives. References [15,16] proposed energy management strategies that aim at economic optimization, but they are basically single-objective oriented.…”

“…References [15,16] proposed energy management strategies that aim at economic optimization, but they are basically single-objective oriented. References [17,18] proposed energy management strategies for multi-modal, but there is a lack of energy management strategies and optimal scheduling methods with urban rail transit as the research background. References [19,20] proposed energy management strategies under multi-objective, but no corresponding solution is proposed for the problem of slower model nonlinear solving.…”

Energy management strategy for a hybrid micro-grid system using renewable energy

“…Additionally, the integration of diverse energy storage technologies and the seamless coordination of multiple energy sources require advanced control strategies. Addressing these challenges is essential for realizing the full economic and environmental potential of hybrid micro-grid systems [4]. A thorough examination of the existing literature reveals a growing body of research dedicated to the optimization of hybrid micro-grid systems.…”