Modification of Power System Operation for Significant Wind Generation Penetration

Schlueter,; Park, Hae‐Sim; Lotfalian,; Shayanfar,; Dorsey,

doi:10.1109/mper.1983.5519583

Cited by 18 publications

(14 citation statements)

References 1 publication

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“…f = 0. (8), the probability of loss of load (10) and the binary status (15). (e) The product of these three terms in step (d) is the EENS owing to forecast errors and unit outages.…”

Section: Formulation Of Expected Energy Not Served (Eens)mentioning

confidence: 99%

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Incorporating forecast uncertainties into EENS for wind turbine studies

Toh¹,

Gooi²

2011

Electric Power Systems Research

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“…f = 0. (8), the probability of loss of load (10) and the binary status (15). (e) The product of these three terms in step (d) is the EENS owing to forecast errors and unit outages.…”

Section: Formulation Of Expected Energy Not Served (Eens)mentioning

confidence: 99%

“…Many studies on UC with WTG integration were conducted over the past few decades [15][16][17][18][19][20]. The modification of UC, economic dispatch (ED) and various frequency controls for a significant wind generation capacity is discussed in [15].…”

Section: Introductionmentioning

confidence: 99%

Incorporating forecast uncertainties into EENS for wind turbine studies

Toh¹,

Gooi²

2011

Electric Power Systems Research

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“…Unit commitment for systems with large-scale wind power was firstly studied more than 20 years ago [3][4][5]. In these studies, practical and concise power control algorithms were proposed.…”

Section: Introductionmentioning

confidence: 99%

Optimal scheduling of power systems considering demand response

Bie

Xie

et al. 2015

J. Mod. Power Syst. Clean Energy

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A novel optimal scheduling method considering demand response is proposed for power systems incorporating with large scale wind power. The proposed method can jointly dispatch the energy resources and demand side resources to mitigate the fluctuation of load and wind power output. It is noticed in practical operation that, without customer's satisfaction being considered, customers might reject the too frequent or violent demand response all together. In this case, two indices that measure the customer satisfaction are then introduced as constraints to reduce the impact to end-users and avoid extreme demand adjustment. To make the model solvable, a proximate decoupling technique is used to dispose the concave constraint introduced by the customer satisfaction constraints. Results from the case studies show that the proposed model can significantly reduce the operation cost of power system while the demand response meets customer satisfaction. Especially, the total start-up costs of conventional thermal units decreases dramatically due to less startup times. Moreover, compared to the consumption way satisfaction constraint, the payment satisfaction constraint has a heavier influence on the cost.

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“…An economic dispatch model was developed in [10] by applying genetic algorithm. The incorporation of wind energy conversion system in power system unit commitment and economic dispatch was discussed in [11]. A co-ordinated wind-thermal dispatch using direct search method was presented in [12].…”

Section: Introductionmentioning

confidence: 99%