2019
DOI: 10.1016/j.jclepro.2019.04.343
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Optimal energy and reserve scheduling for power systems considering frequency dynamics, energy storage systems and wind turbines

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Cited by 27 publications
(11 citation statements)
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References 22 publications
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“…The formulation captures the basic dynamic features of governors and adds a linear ramp rate constraint to the underlying optimization problem. The concept of simplifying dynamic representations of frequency stability has been extended to various other problems, such as Unit Commitment (UC) [45], storage integration [46], wind turbine frequency response [47], stochastic scheduling [48], and inertia and frequency response pricing [49]. However, in the aforementioned coupled reserve and energy formulations, the system dynamics (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…The formulation captures the basic dynamic features of governors and adds a linear ramp rate constraint to the underlying optimization problem. The concept of simplifying dynamic representations of frequency stability has been extended to various other problems, such as Unit Commitment (UC) [45], storage integration [46], wind turbine frequency response [47], stochastic scheduling [48], and inertia and frequency response pricing [49]. However, in the aforementioned coupled reserve and energy formulations, the system dynamics (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…λ L is the intermittent optimal tip speed ratio determined by λ U and β, which are determined by Equation (17). λ U is the best tip speed ratio, as shown in Equation (18).…”
Section: Wind Farmmentioning
confidence: 99%
“…The inverter has no inertia and damping characteristics and has a weak ability to adjust system fluctuations [14,15]. Renewable power generation has low inertia and results in serious frequency fluctuations [16][17][18]. The instability of the system limits the power transmission capacity [19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…A new model for optimal energy and reserve scheduling of the modern power systems considering BES, DR, and wind energy were investigated in ref. [11]. In ref.…”
Section: Introductionmentioning
confidence: 99%
“…The remarkable gaps in the literature are outlined as follows: In refs. [5‐15], BESSs have been applied as static sources into power systems for multiple goals, and the mobility capability of BESS in decreasing lines congestion and minimizing operational cost in the transmission‐constrained scheduling has been neglected. In refs. [16‐22], although the mobility capability of BESS has been deployed in the UC, they have not comprehensively investigated economic, technical environmental assessment of BESTrain under a multi‐objective framework. In refs.…”
Section: Introductionmentioning
confidence: 99%