Integrated DR and reconfiguration scheduling for optimal operation of microgrids using Hong’s point estimate method

Gazijahani, Farhad Samadi; Salehi, Javad

doi:10.1016/j.ijepes.2018.01.044

Cited by 79 publications

(46 citation statements)

References 35 publications

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“…The PCM is used to quantify the statistical features of the uncertain line flows in the probabilistic real-time dispatch sub-problem. This method is efficient for handling uncertainties with a much smaller number of selected scenarios, i.e., collocation points (CPs), than what is required from the traditional random sampling techniques (e.g., MCS), and is considered an extension of the generalized point estimate method (PEM) [32]. Fully explained in [33], the CPs selected are based on Gaussian quadrature (GQ) rule that could reach an algebraic accuracy of 2N − 1 by N CPs.…”

Section: Probabilistic Collocation Methods With Correlation Controlmentioning

confidence: 99%

Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

Huang

Lin

2018

Applied Sciences

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The great proliferation of wind power generation has brought about great challenges to power system operations. To mitigate the ramifications of wind power uncertainty on operational reliability, predictive scheduling of generation and transmission resources is required in the day-ahead and real-time markets. In this regard, this paper presents a risk-averse stochastic unit commitment model that incorporates transmission reserves to flexibly manage uncertainty-induced congestion. In this two-settlement market framework, the key statistical features of line flows are extracted using a high-dimensional probabilistic collocation method in the real-time dispatch, for which the spatial correlation between wind farms is also considered. These features are then used to quantify transmission reserve requirements in the transmission constraints at the day-ahead stage. Comparative studies on the IEEE 57-bus system demonstrate that the proposed method outperforms the conventional unit commitment (UC) to enhance the system reliability with wind power integration while leading to more cost-effective operations.

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Section: Probabilistic Collocation Methods With Correlation Controlmentioning

confidence: 99%

Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

Huang

Lin

2018

Applied Sciences

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“…In the Ref. [13], an integrated incentive-based Demand Response (DR) and dynamic reconfiguration model is proposed, and in order to solve the proposed cost-reliability based framework, an Exchange Market Algorithm (EMA) was used. Authors of the references [14,15] deal with risk management in metro structures; they presented a probabilistic approach of risk evaluation and economic assessment for solving transmission network expansion planning problems.…”

Section: Literature Reviewmentioning

confidence: 99%

An analytical methodology for reliability assessment and failure analysis in distributed power system

2018

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Minimizing total system failure could improve the reliability of power network in order to optimize power system operation. In this way, reliability analysis has been proposed by researchers to tackle the mentioned problem. This paper investigates an analytical methodology for reliability assessment and failure analysis techniques in an actual distributed power system. We use reliability analysis to evaluate system design and gathering outage data in this paper. Modelling and simulation of our assumed system are implemented in electrical transient analyzer program (ETAP) software. The results of theoretical/practical reliability and failure analysis including mean time between failure, mean time to repair, availability, system average interruption frequency index, system average interruption duration index, consumer average interruption duration index, average service availability index, average service unavailability index, expected energy not supplied, expected interruption costs, and interrupted energy assessment rate are compared with the summary of reliability assessment simulation. The capability and effectiveness of reliability evaluation are demonstrated according to the simulation results through ETAP which obtained by applying it to this power system.

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“…In Reference , by disregarding the stochastic behavior of WT and PV units, a hybrid DFR and OGS problem is presented as a multi‐objective framework to minimize electrical power losses, operation costs, and pollutant gas emissions and maximize a voltage stability index in MGs. In Reference , simultaneous performance of DFR and OGS is presented by taking into account the DR program and using Hong's 2 m point estimation method. Objective functions include minimizing operating costs and improving reliability and flexibility of MGs when faced with uncertainties.…”

Section: Introductionmentioning

confidence: 99%

A new optimal operation framework for balanced microgrids considering reconfiguration and generation scheduling simultaneously

Sedighizadeh

Shaghaghi‐shahr

Aghamohammadi

et al. 2020

Int Trans Electr Energ Syst

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Summary In this article, the optimal distribution feeder reconfiguration (DFR) and optimal generation scheduling (OGS) are simultaneously taken into account to enhance operational flexibility and efficiency in microgrids (MGs). The proposed model considers different features of MGs, including distributed generation (DG) units, plug in hybrid electric vehicles (PHEVs), and demand response (DR) programs. Three DR programs are modeled including, load shifting, load curtailing, and time of use (TOU) programs. Uncertainties of renewable generations and loads are modeled using a computationally competitive approach. Both controlled and uncontrolled charging/discharging patterns of PHEVs are investigated. To enhance tractability, the proposed model is formulated as a mixed‐integer second‐order cone programing (MISOCP) problem to minimize operational cost subject to technical and financial constraints. To evaluate the performance of the proposed model, it is examined on the balanced 33‐bus test systems in different case studies of DFR and OGS. The optimization problem is solved using the GAMS software package. It is found that PHEVs and DR not only enhances MG operation flexibility, but they also reduce the total operation cost and smooth load profile.

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Integrated DR and reconfiguration scheduling for optimal operation of microgrids using Hong’s point estimate method

Cited by 79 publications

References 35 publications

Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

An analytical methodology for reliability assessment and failure analysis in distributed power system

A new optimal operation framework for balanced microgrids considering reconfiguration and generation scheduling simultaneously

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