D-FACTS Cooperation in Renewable Integrated Microgrids: A Linear Multiobjective Approach

Hamidi, Amir; Golshannavaz, Sajjad; Nazarpour, Daryoush

doi:10.1109/tste.2017.2723163

Cited by 37 publications

(13 citation statements)

References 20 publications

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“…to Smart Grids and Microgrids (see e.g. [2,3,4]). The combination of RES and desalination technologies has also been extensively studied, as a means of solving the potable water scarcity problem of major areas of the World (e.g.…”

Section: Introductionmentioning

confidence: 99%

Stochastic weather generator for the design and reliability evaluation of desalination systems with Renewable Energy Sources

et al. 2020

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The operation of Renewable Energy Sources (RES) systems is highly affected by the continuously changing meteorological conditions and the design of a RES system has to be robust to the unknown weather conditions that it will encounter during its lifetime. In this paper, the use of Stochastic Weather Generators (SWGENs) is introduced for the optimal design and reliability evaluation of hybrid Photovoltaic / Wind-Generator (PV-W/G) systems providing energy to desalination plants. A SWGEN is proposed, which is based on parametric Markov-Switching Auto-Regressive (MSAR) models and is capable to simulate realistic hourly multivariate time series of solar irradiance, temperature and wind speed of the target installation site. Numerical results are presented, demonstrating that: (i) SWGENs enable to evaluate the reliability of RES-based desalination plants during their operation over a 20 years lifetime period and (ii) using an appropriate time series simulated with a SWGEN as input to the design optimization process results in a RES-based desalination plant configuration with higher reliability compared to the configurations derived when the other types of meteorological datasets are used as input to the design optimization process.

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Section: Introductionmentioning

confidence: 99%

Stochastic weather generator for the design and reliability evaluation of desalination systems with Renewable Energy Sources

et al. 2020

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“…Hence, the system configuration must be optimally adjusted according to the load condition to gain the maximum economic benefits. Recently, the significance of time‐dependency of load behaviour in such practice is revealed [13, 14, 26, 27]. This effect is more significant in islanded MGs.…”

Section: Problem Formulationmentioning

confidence: 99%

Multi‐objective long‐term reconfiguration of autonomous microgrids through controlled mutation differential evolution algorithm

Gholami

Jazebi

2020

IET Smart Grid

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“…In Equations (7) to (10), U and U are the maximum and minimum allowable limits for voltage of nodes, respectively; S sub is the capacity of the substation; I ij,t is the current from node i to node j at the time period t; and I ij is the maximum allowable limit for it. Equation (8) can be linearized by a simple and effective trapezium-based approach presented by Hamidi et al 9 This approach is depicted in Figure 1 and represented by Equations (11) to (16).…”

Section: P Linementioning

confidence: 99%

E‐SOP's contribution in a techno‐economic and clean operation of distribution networks: A multi‐objective optimization approach based on linear models

Baghban-Novin

Hamidi

Golshannavaz

et al. 2019

Int Trans Electr Energ Syst

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Summary In modern distribution networks (DNs), soft open points (SOPs) are newly introduced power electronic devices that are installed between the adjacent feeders in place of normally open points. The SOPs contribute in Volt/VAr control by accurately adjusting the active power flow and supporting the reactive power from both AC sides. A further step forward alludes to energy storage–integrated SOPs, referred to as E‐SOP, which could significantly influence the active power exchanges through charge/discharge actions in appropriate time intervals, say as the hours with high‐ and low‐price electricity tariffs. Accordingly, E‐SOPs provide a unique opportunity in effective active power control and also Volt/VAr control in the presence of distributed generations (DGs) and renewables. This study proposes a model for day‐ahead operation scheduling of DNs with high penetration of DGs and photovoltaic (PV) considering the installations of E‐SOPs. An accurate linearized model is developed to consider the technical performance of E‐SOP in power flow study. Voltage security, economic, and network emission indices are accounted as a concern of the network operator. To this end, a multi‐objective optimization model is developed based on mixed‐integer linear programming being tackled by an augmented ε‐constraint method. For assessing the effectiveness of the developed model, it is simulated on the IEEE 33‐node test system; however, the IEEE 119‐node test system is also tailored to assess the scalability issues. The obtained results are mainly represented in terms of smart charge/discharge and effective VAr support of E‐SOPs, reduced operation cost, improved voltage profile, and a reduced emission level.

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D-FACTS Cooperation in Renewable Integrated Microgrids: A Linear Multiobjective Approach

Cited by 37 publications

References 20 publications

Stochastic weather generator for the design and reliability evaluation of desalination systems with Renewable Energy Sources

Stochastic weather generator for the design and reliability evaluation of desalination systems with Renewable Energy Sources

Multi‐objective long‐term reconfiguration of autonomous microgrids through controlled mutation differential evolution algorithm

E‐SOP's contribution in a techno‐economic and clean operation of distribution networks: A multi‐objective optimization approach based on linear models

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