RETRACTED: Risk-involved stochastic scheduling of plug-in electric vehicles aggregator in day-ahead and reserve markets using downside risk constraints method

Tian, Man-Wen; Yan, Shu‐Rong; Tian, Xiao-Xiao; Kazemi, Milad; Nojavan, Sayyad; Jermsittiparsert, Kittisak

doi:10.1016/j.scs.2020.102051

Cited by 43 publications

(16 citation statements)

References 14 publications

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“…In [34], the authors have proposed a risk-analysis scheme for the scheduling of a multi-carrier energy hub that focuses on the combination of compressed air energy storage, where the heat and power demand response applications are considered. The risk analysis in the scheduling of energy systems with integration of plug-in electric vehicles (PEVs) is performed in [35] based on a risk-constrained stochastic model, where DRC is employed to obtain appropriate decisions for the PEV aggregator based on various amounts considered for risk.…”

Section: 2literature Reviewmentioning

confidence: 99%

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Evaluation of hydrogen storage technology in risk-constrained stochastic scheduling of multi-carrier energy systems considering power, gas and heating network constraints

Heris

Mirzaei

Asadi

et al. 2020

International Journal of Hydrogen Energy

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The operation of energy systems considering a multi-carrier scheme takes several advantages of economical, environmental, and technical aspects by utilizing alternative options is supplying different kinds of loads such as heat, gas, and power. This study aims to evaluate the influence of power to hydrogen conversion capability and hydrogen storage technology in energy systems with gas, power and heat carriers concerning risk analysis. Accordingly, conditional value at risk (CVaR)-based stochastic method is adopted for investigating the uncertainty associated with wind power production. Hydrogen storage system, which can convert power to hydrogen in offpeak hours and to feed generators to produce power at on-peak time intervals, is studied as an effective solution to mitigate the wind power curtailment because of high penetration of wind turbines in electricity networks. Besides, the effect constraints associated with gas and district heating network on the operation of the multi-carrier energy systems has been investigated. A gasfired combined heat and power (CHP) plant and hydrogen storage are considered as the interconnections among power, gas and heat systems. The proposed framework is implemented on 2 a system to verify the effectiveness of the model. The obtained results show the effectiveness of the model in terms of handling the risks associated with multi-carrier system parameters as well as dealing with the penetration of renewable resources.

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Section: 2literature Reviewmentioning

confidence: 99%

“…In addition, natural gas flow with consideration of compressor is mentioned in (31). The limit of the gas supplier and limits of nodes pressure which are given by ( 33), (34), and (35) formulates the balance of natural gas in the gas network.…”

Section: 1constraintsmentioning

confidence: 99%

Evaluation of hydrogen storage technology in risk-constrained stochastic scheduling of multi-carrier energy systems considering power, gas and heating network constraints

Heris

Mirzaei

Asadi

et al. 2020

International Journal of Hydrogen Energy

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“…It can augment the wetted surface between the fluid and absorber and also intensify the outlet temperature of the fluid. Furthermore, employing mixers in heat exchangers is not only one way to remove the laminar sub-layer but also a means of improving heat transfer by creating local turbulence [1][2][3][4][5][6]. The aim of this work is to examine the impact of using a heat sink and mixer on the energetic and exergetic performance of FPSCs.…”

Section: Introductionmentioning

confidence: 99%

Exergy Optimization of a Solar Collector in Flat Plate Shape Equipped with Elliptical Pipes Filled with Turbulent Nanofluid Flow: A Study for Thermal Management

Rostami

Sepehrirad

Dezfulizadeh

et al. 2020

Water

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In this paper, forced convection of a multiwalled carbon nanotube (MWCNT)–water nanofluid (NF) in a new flat plate solar collector (FPSC) equipped with elliptical pipes instead of circular ones is investigated. The three-dimensional conservation equations were solved in the domain with the finite volume method (FVM) based on the semi-implicit method for pressure linked equations (SIMPLE) algorithm. The laminar-turbulent range of the Reynolds number (Re) and the volume fraction of the NF (ϕ) were 50–12,000 and 0–0.1, respectively. The optimization process was accomplished through the comparison of diverse parameters to attain the optimal case with the highest exergy efficiency. In this study, it was concluded that, in the case of using elliptical pipes instead of circular tubes, the time that the fluid was inside the FPSC increased, which led to an increase in the outlet temperature, while the exergy efficiency of the FPSC increased. Additionally, it was observed that using elliptical pipes enhanced the outlet fluid temperature, energy efficiency, and exergy efficiency. Generally, while the trend of exergy efficiency variation with effective parameters was rising, applying elliptical pipes caused the efficiency to increase. In addition, the exergy efficiency variation decreased when these parameters were changed. The highest value of exergy efficiency was 7.1%. On the other hand, for each specific FPSC, there was a unique mass flow rate at which the exergy efficiency reached its maximum value, and for higher mass flow rates, the efficiency was slightly diminished and then remained unchanged. Finally, the highest exergy efficiency was achieved for ϕ = 0.10%.

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“…The optimization techniques are the focal point of methodologies related to EV problems (for example see [1]- [13]). Some of the most frequently used optimization techniques in literature addressing various EV related problems include Monte Carlo simulation [3]- [4], Grasshooper optimization algorithm [5], particle swarm optimization (PSO) [6]- [7], CPLEX [8]- [9], genetic algorithm [10], activeset algorithm [11], and K-means cluster [12]. The Markov and Monte Carlo simulation are used in [3] and [4] to model the urban driving cycle and to simulate the EV travel patterns and charging demand, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…The CPLEX solver is used in [8] to construct an integer linear program in order to address the EV salesman problem constrained to a predefined windows of waiting times. CPLEX is also implemented in [9] to attain a mixedinteger linear program model for stochastic scheduling of plug-in electric vehicles (PEVs) aggregator in day-ahead and reserve market. A review on energy management and optimization of EVs based on genetic algorithm is presented in [10].…”

Section: Introductionmentioning

confidence: 99%

Robust Placement and Sizing of Charging Stations From a Novel Graph Theoretic Perspective

et al. 2020

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This paper proposes analytical approaches to extend the capacity of existing networks of electric vehicles (EVs) by placement of additional charging stations (CSs) as well as determining the sizes of existing and new CSs in order to handle future expansions of EVs. The EV flow at CSs is modeled by a graph where nodes are potential locations for CSs and edges are uncertain parameters representing the variable EV flow at CSs. The required extra CS locations are explored by transforming the CS placement problem into a controllability framework addressed by maximum matching principle (MMP). To find the sizes of each CS, the graph of CS network is partitioned featuring only one CS in each subgraph. The size of CS in each subgraph is then determined by transforming the problem into the problem of robust stability of a system with uncertain parameters where each parameter is associated with an edge of subgraph. The zero exclusion principle is then tested for the related Kharitonov rectangles and polygonal polynomials of closed loop system with selected feedback gain as CS capacity. The proposed analytical approach is tested on the existing Tesla CS Network of Sydney. The locations of extra required CSs as well as the sizes of existing and new CSs are determined to maintain the waiting times at all stations below the threshold level.

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RETRACTED: Risk-involved stochastic scheduling of plug-in electric vehicles aggregator in day-ahead and reserve markets using downside risk constraints method

Cited by 43 publications

References 14 publications

Evaluation of hydrogen storage technology in risk-constrained stochastic scheduling of multi-carrier energy systems considering power, gas and heating network constraints

Evaluation of hydrogen storage technology in risk-constrained stochastic scheduling of multi-carrier energy systems considering power, gas and heating network constraints

Exergy Optimization of a Solar Collector in Flat Plate Shape Equipped with Elliptical Pipes Filled with Turbulent Nanofluid Flow: A Study for Thermal Management

Robust Placement and Sizing of Charging Stations From a Novel Graph Theoretic Perspective

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