A chance-constrained two-stage stochastic programming model for reliable microgrid operations under power demand uncertainty

Marino, Carlos; Quddus, Abdul; Marufuzzaman, Mohammad; Cowan, Mark A.; Bednar, Amy E.

doi:10.1016/j.segan.2017.12.007

Cited by 33 publications

(11 citation statements)

References 41 publications

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“…Stochastic methods are used to approximate the PDF of random variables [58]. The first efforts in modeling uncertainties using stochastic methods was made by Dantzig [59].…”

Section: Stochastic Methodsmentioning

confidence: 99%

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

et al. 2019

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Aggregation of distributed generations (DGs) along with energy storage systems (ESSs) and controllable loads near power consumers has led to the concept of microgrids. However, the uncertain nature of renewable energy sources such as wind and photovoltaic generations, market prices and loads has led to difficulties in ensuring power quality and in balancing generation and consumption. To tackle these problems, microgrids should be managed by an energy management system (EMS) that facilitates the minimization of operational costs, emissions and peak loads while satisfying the microgrid technical constraints. Over the past years, microgrids' EMS have been studied from different perspectives and have recently attracted considerable attention of researchers. To this end, in this paper a classification and a survey of EMSs has been carried out from a new point of view. EMSs have been classified into four categories based on the kind of the reserve system being used, including non-renewable, ESS, demand-side management (DSM) and hybrid systems. Moreover, using recent literature, EMSs have been reviewed in terms of uncertainty modeling techniques, objective functions (OFs) and constraints, optimization techniques, and simulation and experimental results presented in the literature.

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“…Stochastic methods are used to approximate the PDF of random variables [58]. The first efforts in modeling uncertainties using stochastic methods was made by Dantzig [59].…”

Section: Stochastic Methodsmentioning

confidence: 99%

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

et al. 2019

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“…In the presence of electric vehicles (EVs), internal sources of a typical MG are surveyed in [14]. MGs operation under high uncertainty of RESs is evaluated in [15] through developing two-stage model of stochastic programming method. A generalized formulation for energy management of an MG which is combined with Artificial intelligence techniques is proposed in [16].…”

Section: A Literature Reviewmentioning

confidence: 99%

Risk-Based Performance of Combined Heat and Power Based Microgrid Using Information Gap Decision Theory

Nojavan

Jermsittiparsert

2020

IEEE Access

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In this paper, to get optimal scheduling of microgrids (MGs) in short-term, info-gap decisiontheory (IGDT) is applied to assess load uncertainty. In order to provide a comprehensive load uncertainty study, best and worst possible conditions are evaluated using IGDT's functions of opportunity and robustness, respectively, in which risk-taker and risk-averse strategies are obtained while deterministic case study is also carried-out under the risk-neutral strategy. Real-time pricing (RTP) and time-of-use pricing (TOU) of demand response program (DRP) are applied to peak-load management. For each strategy, three cases as without DRP, TOU-DRP, and RTP-DRP are investigated. According to the results in the risk-neutral strategy, by applying TOU-DRP and RTP-DRP, operating cost is reduced about 2.5% and 6.6%, respectively.

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“…An MG can operate in either grid-connected [5][6][7][8][9][10][11][12] or isolated mode [13][14][15][16][17][18][19][20][21] or both [22]. The presence of more than one DER requires energy flow control from various sources to ensure reliable energy supply, safety, and a minimum-cost operation.…”

Section: Introductionmentioning

confidence: 99%

Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures

2020

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This paper presents both an extensive literature review and a qualitative and quantitative study conducted on nearly 200 publications from the last six years (based on international experience and a top-down analysis framework with five classification levels) to establish the main trends in the field of centralized energy management systems (EMS) for microgrids. No systematic trend analyses have been observed in this field in previous literature reviews. EMS attributes for several features such as objective functions, resolution techniques, operating models, integration of uncertainties, optimization horizons, and modeling detail levels are considered for main trend identification. The main contribution of this study is the identification of four specific existing research trends: (i) dealing with uncertainties (comprises 33% of the references), (ii) multi-objective strategy (29%), (iii) traditional paradigm (21%), and (iv) P-Q challenge (17%). Each trend is described and analyzed based on the main drive of these separate research fields. The key challenges and the way to cope with them are described based on the rationality of each trend, the results of previous reviews, and the previous experience of the authors. Overall, finding these main trends, together with a complete paper database and their features, serve as a useful outcome for a better understanding of the current research-specific challenges, opportunities, potential barriers, and open questions regarding the creation of future centralized EMS developments. The traditional numerical analysis is insufficient to identify research trends. Therefore, the need of further analyses based on the clustering approach is emphasized.

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A chance-constrained two-stage stochastic programming model for reliable microgrid operations under power demand uncertainty

Cited by 33 publications

References 41 publications

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

A Survey on Microgrid Energy Management Considering Flexible Energy Sources

Risk-Based Performance of Combined Heat and Power Based Microgrid Using Information Gap Decision Theory

Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures

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