Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources

Meirinhos, J.; Rua, David; Carvalho, Leonel; Madureira, André

doi:10.1016/j.epsr.2017.01.016

Cited by 21 publications

(10 citation statements)

References 17 publications

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“…After performing the MV grid optimisation at the CAMC level, the final step is developed at the MG level. 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).…”

Section: Mg Stagementioning

confidence: 99%

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: Mg Stagementioning

confidence: 99%

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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“…Scientific articles analyzed: [ 6 , 7 , 10 , 23 , 27 , 29 , 30 , 37 , 38 , 39 , 40 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 ].…”

Section: Main Textunclassified

Optimal reactive power compensation in electrical distribution systems with distributed resources. Review

Téllez

López

Isaac

et al. 2018

Heliyon

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In this paper an exhaustive bibliographical revision of the mathematical methods used for the optimal selection and location of reactive power compensating elements is developed, the results obtained by different authors for different objective functions are analyzed and a scientific problem in the conflict that the electric variables show when analyzed individually is identified; thus demonstrating the need to analyze this problem in a multi-criteria way and taking into account topologies of distribution grids with distributed generation and energy storage. This research demonstrates that reactive power compensation in distribution grids with distributed resources is a problem that must be analyzed from multiple criteria that consider several objective functions to be optimized; thus achieving a global solution that contemplates an optimal location and dimensioning of reactive power compensating elements that contribute to the joint improvement of the voltage profiles, minimization of power losses, harmonic mitigation, increased line capacity, voltage stability and power factor improvement, all of them to a minimum investment cost. A theoretical heuristic is also proposed to solve the described problem, based on the multicriteria optimization method.

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“…In [7], the inverter interfaced DGs, OLTC, and SCs are operated in different time scales to mitigate the fast voltage variation caused by stochastically varied renewable generation. A multi-temporal optimisation problem is formulated in [8] to control the voltage in a distribution network with various voltage/var regulators. The curtailment of DGs and loads are utilised in the model, and a metaheuristic algorithm is used to find the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

Coordinated voltage/var control in a hybrid AC/DC distribution network

Qiao

2020

IET Generation, Transmission & Distribution

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Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources

Cited by 21 publications

References 17 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

Optimal reactive power compensation in electrical distribution systems with distributed resources. Review

Coordinated voltage/var control in a hybrid AC/DC distribution network

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