Abstract:Compared with the AC micro-grid, the DC micro-grid has low energy loss and no issues of frequency stability, which makes it more accessible for distributed energy. Thus, the DC micro-grid has good potential for development. A variety of renewable energy is included in the DC micro-grid, which is easily affected by the environment, causing fluctuation of the DC voltage. For grid-connected DC micro-grid with droop control strategy, the tie-line power is affected by fluctuations in the DC voltage, which sets high… Show more
“…Due to the massive invention, a lithium-ion rechargeable battery uses the dead-band droop characteristic, which requires the battery to run in "offline" mode. A floating or standby mode of operation is used to avoid the frequent charge and discharge timing [ 73 ]. Droop control modifies the DC injection current to its reference value, allowing control mechanisms for battery-based energy storage systems to be built.…”
Section: Hierarchical Controlmentioning
confidence: 99%
“… Improved voltage control under low loads only, not under heavy loads. Dead band droop [ 73 , 74 ] Avoids charging and draining the battery unnecessarily. The majority of converters in the DC microgrid are regarded to be insufficient for their installation.…”
“…Due to the massive invention, a lithium-ion rechargeable battery uses the dead-band droop characteristic, which requires the battery to run in "offline" mode. A floating or standby mode of operation is used to avoid the frequent charge and discharge timing [ 73 ]. Droop control modifies the DC injection current to its reference value, allowing control mechanisms for battery-based energy storage systems to be built.…”
Section: Hierarchical Controlmentioning
confidence: 99%
“… Improved voltage control under low loads only, not under heavy loads. Dead band droop [ 73 , 74 ] Avoids charging and draining the battery unnecessarily. The majority of converters in the DC microgrid are regarded to be insufficient for their installation.…”
“…This approach allows independent control by each converter in each DG without the need for a communication channel between them. As a disadvantage, the control droop presents an inherent commitment between the regulation of voltage and the distribution of demand among the different DGs [22,23]. To solve this problem, droop control variants have been proposed where the gain (slope of the droop characteristic) is adjusted dynamically [23].…”
Section: Dc-mg Controlmentioning
confidence: 99%
“…Randomly, a group of households was selected to function as loads (Scenario 1), demanding the power indicated in Table 4 (with a negative value). With an algorithm developed in Matlab, according to Equations (16) to (23), the operating state of the network was obtained (power generated (with a positive value) and voltage in each node). No conventional load flow was used since there was no slack bus.…”
Section: Analysis Of the Operation Of The Networkmentioning
The development of microgrids is of great interest to facilitate the integration of distributed generation in electricity networks, improving the sustainability of energy production. Microgrids in DC (DC-MG) provide advantages for the use of some types of renewable generation and energy storage systems, such as batteries. In this article, a possible practical implementation of an isolated DC-MG for residential use with a cooperative operation of the different nodes is proposed. The main criterion is to achieve a very simple design with only primary control in a residential area. This application achieves a simple system, with low implementation costs, in which each user has autonomy but benefits from the support of the other users connected to the microgrid, which improves its reliability. The description of the elements necessary to create this cooperative system is one of the contributions of the work. Another important contribution is the analysis of the operation of the microgrid as a whole, where each node can be, arbitrarily, a consumer or an energy generator. The proposed structures could promote the use of small distributed generation and energy storage systems as the basis for a new paradigm of a more sustainable electricity grid of the future.
“…This approach was tested and validated by using the modulator aluminum electrolysis load without considering energy storage systems. In [18], an improved droop control strategy was introduced to maintain a constant tie-line power that is suitable for the DC MG by coordinating the designs of droop control characteristics of generators, energy storage units, grid-connected inverter, and a dead band. The SOC and the optimal charging/discharging power of the energy storage units were not included in this study.…”
In an active distribution grid, renewable energy sources (RESs) such as photovoltaic (PV) and energy storage systems (e. g., superconducting magnetic energy storage (SMES)) can be combined with consumers to compose a microgrid (MG). The high penetration of PV causes high fluctuations of tie-line power flow and highly affects power system operations. This can lead to several technical problems such as voltage fluctuations and excessive power losses. In this paper, a fuzzy logic control based SMES method (FSM) and an optimized fuzzy logic control based SMES method (OFSM) are proposed for minimizing the tie-line power flow. Consequently, the fluctuations and transmission power losses are decreased. In FSM, SMES is used with a robust fuzzy logic controller (FLC) for controlling the tie-line power flow. An optimization model is employed in OFSM to simultaneously optimize the input parameters of the FLC and the reactive power of the voltage source converter (VSC) of SMES. The objective function of minimizing the tieline power flow is incorporated into the optimization model. Particle swarm optimization (PSO) algorithm is utilized to solve the optimization problem while the constraints of the utility power grid, VSC, and SMES are considered. The simulation results demonstrate the effectiveness and robustness of the proposed methods.
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