Multi-temporal Active Power Scheduling and Voltage/var Control in Autonomous Microgrids

Castro, Manuel; Moreira, Carlos

doi:10.1007/978-3-030-12950-7_15

Cited by 2 publications

(9 citation statements)

References 6 publications

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“…In principle, an autonomous system requires at least one unit of this type, which intrinsically has the ability to form the grid voltage such that autonomous operation is possible. The voltage and frequency control feature present in this type of inverter is achieved through the implementation of the subsequent droop functions [6,19]…”

Section: Enabling Autonomous Operationmentioning

confidence: 99%

“…However, the feeders in LV systems (such as MG) have a predominant resistive component (high R/X ratio), which makes the coupling of droop-based inverters highly resistive. As a result, active power influences the voltage magnitude value which contradicts the classical approach of reactive power control over voltage and P-Q decoupling [19]. To overcome this issue, there are many techniques and methods present in the literature, such as the ones presented in [7][8][9]21], in order to assure the stable operation of droop-controlled inverters in autonomous systems.…”

Section: Power Flow During Autonomous Operationmentioning

confidence: 99%

“…Following this, in power flow studies, the VSI is represented by two buses (Fig. 4): an internal bus between the voltage source and the coupling inductance and another bus that acts as the interface with the grid (output bus) [19].…”

Section: Power Flow During Autonomous Operationmentioning

confidence: 99%

“…This stage is intended to compute a feasible solution at the MG level through an OPF-like approach based on Meirinhos et al [23] and similar to those of Sun and Zhang [24], taking into account its internal capabilities for voltage and reactive power support (PV reactive power generation and idle voltage definition at each VSI while also complying with the boundary bus operation point defined at the MV stage. Note that (15) corresponds to the minimisation of active power losses in the MG and it is subjected to the power balance constraints for each node as in (16) and 17, bus voltage constraints in (18) and (19), reactive power constraint in the swing bus (18) and devices technical constraints in (20)- (22). The MG operation state that results from this stage corresponds to the final solution for reactive power and voltage control for the MGC.…”

Section: Mg Stagementioning

confidence: 99%

“…MG architecture[1] MMG control scheme[17] VSI droop characteristics(a) P-f droop, (b) Q-V droop[18,19] IET Renew. Power Gener., 2020, Vol.…”

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confidence: 99%

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Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

Castro

Moreira

Carvalho

2019

IET Renewable Power Generation

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This study proposes a hierarchical optimisation strategy for the energy dispatch and volt/var control problem of a photovoltaic-battery microgrid cluster (MGC) operating autonomously. The proposed approach takes advantage of the decentralised control architecture existing in multi-microgrids (MMGs) framework by distributing the management responsibilities between the microgrid central controllers (MGCCs) and the central autonomous management controller (CAMC). In the first stage, the optimisation strategy solves a multi-temporal active power scheduling problem for the MGC based on consumption and generation forecasts. In the second stage, the reactive power and volt/var control are addressed by taking into account the medium-voltage (MV) and low-voltage levels independently. For this purpose, each MGCC computes the V(Q) capability area of operation at the boundary bus with the MV grid. Then, the CAMC performs an optimal power flow at the MV level for each time step, whose results at the boundary bus are considered in the last stage to schedule reactive power at the MGCC level. The effectiveness of the proposed strategy is demonstrated in a cluster of three microgrids. It keeps the modularity, interoperability and scalability characteristics of the MMG concept by clearly defining the roles and the information to be exchanged between the CAMC and the MGCC.

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Section: Enabling Autonomous Operationmentioning

confidence: 99%

Section: Power Flow During Autonomous Operationmentioning

confidence: 99%

Section: Power Flow During Autonomous Operationmentioning

confidence: 99%

Section: Mg Stagementioning

confidence: 99%

“…MG architecture[1] MMG control scheme[17] VSI droop characteristics(a) P-f droop, (b) Q-V droop[18,19] IET Renew. Power Gener., 2020, Vol.…”

mentioning

confidence: 99%

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Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

Castro

Moreira

Carvalho

2019

IET Renewable Power Generation

Self Cite

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Microgrid Control, Storage, and Communication Strategies to Enhance Resiliency for Survival of Critical Load

2020

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Adequately, as far as the global system is concerned with the variation in the climatic condition, the frequency of disaster is rising, resulting in various damages to the power grid. To cope with the power network problems due to disasters such as grid outages, frequency, and voltage deviation, the network should be incorporated with numerous distributed generations such as solar and wind. During the disaster condition, these distributed fossil generations form Microgrids (MGs) by disconnecting itself from the grid and maintain power flow to the local region. Besides, the negative impacts on the environment, such as carbon emission has reduced by using Renewable Energy Sources (RES). Apart from reducing carbon emission (as in the case of fossil fuel generation plants), RES based microgrid also useful for the resilient distribution system. However, high penetration of distributed generation, for a resilient system that can survive at least its critical loads during extreme disaster conditions, requires robust architecture and communication between the devices of a microgrid. This article presents the latest review of the various classification of microgrid architecture along with the technical characteristics of energy storage devices, various communication channels and discover the gaps to form a bridge between microgrid in normal and abnormal (during a climatic disaster) conditions. In addition, alteration in control techniques for Alternative Current and Direct Current microgrid for robust MGs is presented systematically. Furthermore, the latest developments with sectionalizer placement to provide the steps to achieve near-real-time data and necessary actions required to take during or before the actual disaster are also presented in a systematic manner.

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Multi-temporal Active Power Scheduling and Voltage/var Control in Autonomous Microgrids

Cited by 2 publications

References 6 publications

Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

Hierarchical optimisation strategy for energy scheduling and volt/var control in autonomous clusters of microgrids

Microgrid Control, Storage, and Communication Strategies to Enhance Resiliency for Survival of Critical Load

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