A Novel Strategy for Multi-area Dynamic Energy Management

Hormozi, Mohammad Ali; Firouzi, Bahman Bahmani; Niknam, Taher

doi:10.1007/s40998-020-00340-6

Cited by 3 publications

(2 citation statements)

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“…Researchers have proposed solutions to these problems. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] Various robust, random, and deterministic active power management models were proposed in articles for solving similar problems related to EVs. A deterministic active power management system was proposed in References 4-8.…”

Section: Introductionmentioning

confidence: 99%

“…A deterministic active power management system was proposed in References 4-8. In Hormozi et al, 4 the penetration rate of EV was increased by managing charge power in order to minimize energy costs and environmental issues. In Milano and Hersent, 5 EV charge management was used for optimal load management, in which the objective function was minimizing demand variations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust optimum distribution network scheduling with distributed generations, electric vehicles, and storage units

Nasrollahi

Arandian

Baharizadeh

2022

Intl J of Energy Research

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Due to utilizing electric vehicles, distributed generations and energy storage units in the distribution networks, it is crucial to present a robust energy management to minimize total cost of the network with associated uncertainties including electrical demand, energy prices, behavior of electric vehicles, and renewable distributed generations. In this robust optimization, distribution network power flow, technical constraints such as bus voltage limits and transmission line limits, equations governing electric vehicles, energy storage units, and distributed generations are considered as the optimization constraints. Since the problem is nonlinear, achieving the absolute optimum with a fast resolve requires a linear model with a very low calculation error. In this study, aforementioned robust model is solved to simplify the distribution network operator's decisions. Finally, the proposed problem was applied to the standard IEEE 33-bus radial distribution network which reduced total costs by $523 751.

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