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Control Strategy
Distributed Generators
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Energy Loss
Optimal Power Flow
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Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation
Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation,10.1109/TPWRS.2010.2049036,IEEE Transactions o
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Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation
(
Citations: 5
)
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Luis F. Ochoa
,
Gareth P. Harrison
The problem of minimizing losses in distribution net works has traditionally been investigated using a single, determin istic demand level. This has proved to be effective since most ap proaches are generally able to also result in minimum overall en ergy losses. However, the increasing penetration of (firm and vari able) distributed generation (DG) raises concerns on the actual benefits of loss minimization studies that are limited to a single de mand/generation scenario. Here, a multiperiod AC
optimal power flow
(OPF) is used to determine the optimal accommodation of (re newable) DG in a way that minimizes the system energy losses. In addition, control schemes expected to be part of the future Smart Grid, such as coordinated
voltage control
and dispatchable DG power factor, are embedded in the OPF formulation to explore the extra loss reduction benefits that can be harnessed with such technologies. The tradeoff between energy losses and more gener ation capacity is also investigated. The methodology is applied to a generic U.K. distribution network and results demonstrate the sig nificant impact that considering timevarying characteristics has on the
energy loss
minimization problem and highlight the gains that the flexibility provided by innovative control strategies can have on both loss minimization and generation capacity.
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 26, no. 1, pp. 198205, 2011
DOI:
10.1109/TPWRS.2010.2049036
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Citation Context
(4)
...Such methodologies are usually dedicated to operation and planning of distribution systems in the presence of high penetration of DG. Multiobject or multiperiod OPF can be aimed at maximizing DG capacity in the presence of technical constraints [18] or lossminimization functions [19] and at allocating resources through analytical or metaheuristic studies [
20
], [21]...
Sergio Bruno
,
et al.
Unbalanced ThreePhase Optimal Power Flow for Smart Grids
...More specifically regarding losses, a multiperiod AC OPF is used in [
19
] to determine the optimal siting of renewable DG for minimum system energy losses in a futuresmartgrid.Finally,in[20]and[21],analyticalapproaches for DG penetration and siting are assessed for different DG technologies...
Antonios G. Marinopoulos
,
et al.
A Correlation Index to Evaluate Impact of PV Installation on Joule Los...
...In addition to accounting for thermal and voltage constraints, the OPF is tailored to cater for the variability of both demand and generation (multiple periods or demand/generation scenarios) [18], [
22
], as well as for N1 contingencies (e.g., loss of a line) [20], [24]...
...behavior and interrelationships between resources and demand [18], [
22
]...
...Nonetheless, it is important to highlight that the impact on energy losses and its interaction with distributed generation will mainly depend on the economic and technical objectives of the network operator and the corresponding regulatory framework [
22
]...
Luis F. Ochoa
,
et al.
Minimizing the Reactive Support for Distributed Generation: Enhanced P...
...This paper, composed mainly by adapted extracts from [
1 5
], is structured as follows: First, the maximum connectable DG capacity problem [1, 6] is presented in section II. Then, section III addresses the energy loss minimisation problem [2, 6]. Section IV discusses the incorporation of further network constraints such as fault levels [3, 6], N1 security [4, 7], and voltage step change [5]...
...This paper, composed mainly by adapted extracts from [1 5], is structured as follows: First, the maximum connectable DG capacity problem [1, 6] is presented in section II. Then, section III addresses the energy loss minimisation problem [
2
, 6]. Section IV discusses the incorporation of further network constraints such as fault levels [3, 6], N1 security [4, 7], and voltage step change [5]...
...<{[SECTION]}>III. MINIMISING ENERGY LOSSES [
2
]...
...References [1,
2
] provide a more detailed treatment of the framework...
...OPF formulation (single topology) will be subject to a range of constraints (more details in [1,
2
])...
Luis F. Ochoa
,
et al.
Using AC Optimal Power Flow for DG planning and optimisation
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(
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Sort by:
Citations
(5)
Unbalanced ThreePhase Optimal Power Flow for Smart Grids
(
Citations: 1
)
Sergio Bruno
,
Silvia Lamonaca
,
Giuseppe Rotondo
,
Ugo Stecchi
,
Massimo La Scala
Journal:
IEEE Transactions on Industrial Electronics  IEEE TRANS IND ELECTRON
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A Correlation Index to Evaluate Impact of PV Installation on Joule Losses
Antonios G. Marinopoulos
,
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Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 26, no. 3, pp. 15641572, 2011
Minimizing the Reactive Support for Distributed Generation: Enhanced Passive Operation and Smart Distribution Networks
Luis F. Ochoa
,
Andrew Keane
,
Gareth P. Harrison
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 26, no. 4, pp. 21342142, 2011
Using AC Optimal Power Flow for DG planning and optimisation
(
Citations: 1
)
Luis F. Ochoa
,
Gareth P. Harrison
Conference:
Power Engineering Society, IEEE General Meeting  PES
, pp. 17, 2010
A 492 GHz submillimeterwave receiver
Ji Yang
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