Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources

Su, Wencong; Wang, Jianhui; Roh, Jae Hyung

doi:10.1109/tsg.2013.2280645

Cited by 645 publications

(333 citation statements)

References 22 publications

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“…A stochastic SSM in an interconnected MG having EVs and RERs is formulated in [106]. This method minimizes the expected operational cost of the interconnected MG and power losses over the next 24 h, while accommodating the intermittent nature of RERs.…”

Section: Ssm In Interconnected Distribution Gridsmentioning

confidence: 99%

“…Most of the research in DSM considers EVs as a curtailable load and controls them like other loads. For example, a direct control method for EVs charging for their DSM programs is proposed in [67,106]. Although considering the power system issues, which are mentioned above, is essential, when the penetration level of EVs increases, most of the existing research in this area only studies the economic issue or technical issues without considering their influence on each other.…”

Section: Grid To Vehicle (G2v)mentioning

confidence: 99%

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Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Divshali

Choi

2016

Energies

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Rising demand, climate change, growing fuel costs, outdated power system infrastructures, and new power generation technologies have made renewable distribution generators very attractive in recent years. Because of the increasing penetration level of renewable energy sources in addition to the growth of new electrical demand sectors, such as electrical vehicles, the power system may face serious problems and challenges in the near future. A revolutionary new power grid system, called smart grid, has been developed as a solution to these problems. The smart grid, equipped with modern communication and computation infrastructures, can coordinate different parts of the power system to enhance energy efficiency, reliability, and quality, while decreasing the energy cost. Since conventional distribution networks lack smart infrastructures, much research has been recently done in the distribution part of the smart grid, called smart distribution grid (SDG). This paper surveys contemporary literature in SDG from the perspective of the electricity market in addition to power system considerations. For this purpose, this paper reviews current demand side management methods, supply side management methods, and electrical vehicle charging and discharging techniques in SDG and also discusses their drawbacks. We also present future research directions to tackle new and existing challenges in the SDG.

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Section: Ssm In Interconnected Distribution Gridsmentioning

confidence: 99%

Section: Grid To Vehicle (G2v)mentioning

confidence: 99%

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Divshali

Choi

2016

Energies

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“…Hence, from a practical point of view, in this application the disturbance is small enough to ensure feasibility of (8), (10), and (12).…”

Section: Remarkmentioning

confidence: 99%

“…Hence, the control sequence calculated has a certain degree of robustness against the possible realizations of the uncertainties. This approach is used for example in [10] in the field of control of smartgrids, and [11] for water systems. One of its advantages is that it is possible to calculate bounds on the probability of constraint violation as a function of the number of scenarios considered [12].…”

Section: Introductionmentioning

confidence: 99%

Application of robust model predictive control to a renewable hydrogen-based microgrid

Velarde

Maestre

Ocampo‐Martínez

et al. 2016

2016 European Control Conference (ECC)

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Abstract-In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, i.e., multi-scenario, tree-based, and chance-constrained model predictive control, which are applied to a nonlinear plantreplacement model that corresponds to a real laboratory-scale plant located in the facilities of the University of Seville. Results show the effectiveness of these three techniques considering the stochastic nature, proper of these systems.

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“…In [10], the authors presented an approach to minimize the expected operational cost of the microgrid and power losses while accommodating the intermittent nature of renewable energy resources. In [11], energy storage was utilized to increase wind power penetration level and curtail peak load with revenue optimization taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

Optimal air-conditioning load control in distribution network with intermittent renewables

Wang

Meng

Gao

et al. 2016

J. Mod. Power Syst. Clean Energy

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The coordinated operation of controllable loads, such as air-conditioning load, and distributed generation sources in a smart grid environment has drawn significant attention in recent years. To improve the wind power utilization level in the distribution network and minimize the total system operation costs, this paper proposes a MILP (mixed integer linear programming) based approach to schedule the interruptible air-conditioning loads. In order to mitigate the uncertainties of the stochastic variables including wind power generation, ambient temperature change, and electricity retail price, the rolling horizon optimization (RHO) strategy is employed to continuously update the real-time information and proceed the control window. Moreover, to ensure the thermal comfort of customers, a novel two-parameter thermal model is introduced to calculate the indoor temperature variation more precisely. Simulations on a five node radial distribution network validate the efficiency of the proposed method.

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Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources

Cited by 645 publications

References 22 publications

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Application of robust model predictive control to a renewable hydrogen-based microgrid

Optimal air-conditioning load control in distribution network with intermittent renewables

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