Smart Operation of Wind Turbines and Diesel Generators According to Economic Criteria

Cecati, Carlo; Citro, Costantino; Piccolo, Antonio; Siano, Pierluigi

doi:10.1109/tie.2011.2106100

Cited by 183 publications

(50 citation statements)

References 43 publications

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“…Customers can participate in the energy market competition by changing their energy consumption approach instead of being passively exposed to fixed prices, resulting in profits by both the companies and end-users [7]. Improving system reliability and encouraging energy efficiency are the expectations from demand response (DR) programs.…”

Section: F Demand Response Managementmentioning

confidence: 99%

A Survey on Smart Grid Potential Applications and Communication Requirements

Güngör

Sahin

Koçak

et al. 2013

IEEE Trans. Ind. Inf.

993

467

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Abstract-Information and communication technologies (ICT)represent a fundamental element in the growth and performance of smart grids. A sophisticated, reliable and fast communication infrastructure is, in fact, necessary for the connection among the huge amount of distributed elements, such as generators, substa-tions, energy storage systems and users, enabling a real time ex-change of data and information necessary for the management of the system and for ensuring improvements in terms of efficiency, reliability, flexibility and investment return for all those involved in a smart grid: producers, operators and customers. This paper overviews the issues related to the smart grid architecture from the perspective of potential applications and the communications requirements needed for ensuring performance, flexible operation, reliability and economics.Index Terms-Advanced Metering Infrastructure (AMI), demand Response, smart Grid Communications.

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Section: F Demand Response Managementmentioning

confidence: 99%

A Survey on Smart Grid Potential Applications and Communication Requirements

Güngör

Sahin

Koçak

et al. 2013

IEEE Trans. Ind. Inf.

993

467

View full text Add to dashboard Cite

show abstract

“…The method can be used by DNOs to better allocate PVs at more advantageous locations in terms of consumers' benefits and cost reduction, network constraints and reliability. Conventional planning of distribution networks involving renewable energy sources integration have not considered the combination of ANM schemes and DR on the operation of distribution network [12][13].…”

Section: Contributionsmentioning

confidence: 99%

Active distribution networks planning with integration of demand response

Mokryani

2015

Solar Energy

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-This paper proposes a probabilistic method for active distribution networks planning with integration of demand response.Uncertainties related to solar irradiance, load demand and future load growth are modelled by probability density functions. The method simultaneously minimizes the total operational cost and total energy losses of the lines from the point of view of distribution network operators with integration of demand response over the planning horizon considering active management schemes including coordinated voltage control and adaptive power factor control. Monte Carlo simulation method is employed to use the generated probability density functions and the weighting factor method is used to solve the multi-objective optimization problem. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system. Index Terms -

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“…In this way, the utility can (help) supply the balance of power in the microgrid by using the voltage-based method. In case of the communication-based information, in literature already some methods that determine OLTC set points are discussed, such as [46], [47]. These methods use an optimized power flow algorithm and an active management scheme.…”

Section: Reference Power Exchange Between Microgrid and Utility Networkmentioning

confidence: 99%

Voltage-Based Control of a Smart Transformer in a Microgrid

Vandoorn

Kooning

Meersman

et al. 2013

IEEE Trans. Ind. Electron.

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Abstract-For the islanded operation of a microgrid, several control strategies have been developed. For example, voltage-based droop control can be implemented for the active power control of the generators and the control of the active loads. One of the main advantages of a microgrid is that it can be implemented as a controllable entity within the electrical network. This requires the ability of the utility grid to control or influence the power exchange with the microgrid by communicating with only one unit. However, little research has been conducted on controlling the power transfer through the point of common coupling. This paper addresses this issue by introducing the concept of a smart transformer (ST) at the point of common coupling. This unit controls the active power exchange between a microgrid and the utility grid dependent on the state of both networks and other information communicated to the ST. To control the active power, the ST uses its taps that change the microgrid-side voltage at the PCC. This voltage-based control of the ST is compatible with the voltage-based droop control of the units in the microgrid that is used in this paper. Hence, the microgrid units can automatically respond to changes of ST set points and vice versa. Several simulation cases are included in this paper to demonstrate the feasibility of the ST concept.

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Smart Operation of Wind Turbines and Diesel Generators According to Economic Criteria

Cited by 183 publications

References 43 publications

A Survey on Smart Grid Potential Applications and Communication Requirements

A Survey on Smart Grid Potential Applications and Communication Requirements

Active distribution networks planning with integration of demand response

Voltage-Based Control of a Smart Transformer in a Microgrid

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