Robust Optimal Power Flow for Mixed AC/DC Transmission Systems With Volatile Renewables

Mešanović, Amer; Münz, Ulrich; Ebenbauer, Christian

doi:10.1109/tpwrs.2018.2804358

Cited by 26 publications

(14 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consider a vector X = (X 1 , ..., X n ) of random variables and the corresponding marginal cumulative distribution functions (CDF) F 1 , …, F n . Sklar's theorem [17] states that the joint cumulative distribution function F can be expressed as…”

Section: Simplified Pair Copulamentioning

confidence: 99%

“…Most of recent works have tried to develop a convex optimisation problem through several methods to solve AC-DC OPF with voltage source converter (VSC) technology [12][13][14][15][16], such as sequential quadratic programming (SQP), Newton-Raphson methods, predictorcorrector primal-dual interior point linear programming, and second-order cone programming (SOCP). An algorithm for a practically relevant robust AC-DC OPF using DC power flow approximation with volatile renewables is proposed in [17]. The simplified linear OPF can be solved within minutes for a large number of uncertainties.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Affinely adjustable robust AC–DC optimal power flow considering correlation of wind power

Tian

Wang

et al. 2018

IET Renewable Power Generation

View full text Add to dashboard Cite

Wind power outputs will bring larger computational error in actual operation without considering the correlation. This study presents an affinely adjustable robust optimisation method for AC-DC optimal power flow (AC-DC AAROPF) considering the correlation of wind power. Affine policies are utilised in the re-dispatch process to ensure the feasibility of the infinite scenarios of uncertainties. After transforming AC-DC AAROPF to a tractable model, a novel approach based on simplified pair copula to consider multiple dependence of wind power is presented. The AC-DC AAROPF is evaluated on the modified AC-DC IEEE 30-bus and 118-bus system. Results show a modest increase in expected cost for reasonable levels of uncertainty representing forecast error confidence intervals, which obtains a more robust solution with higher successful rates.

show abstract

Section: Simplified Pair Copulamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Affinely adjustable robust AC–DC optimal power flow considering correlation of wind power

Tian

Wang

et al. 2018

IET Renewable Power Generation

View full text Add to dashboard Cite

show abstract

“…In [16], a security-constrained OPF including wind power generations through multi-terminal DC grids is considered. Similarly, stochastic multi-period [17], robust [18] and chance constraint [19] OPF models are proposed to study the influence of uncertain wind power injections through HVDC on the control cost of AC/DC systems. Table 1 shows a comparative analysis of reviewed papers based on operational and security constraints, voltage stability analysis, uncertainties in load and DG powers, presence of HVDC link and consideration of contingencies.…”

Section: Introductionmentioning

confidence: 99%

Optimal power rescheduling in interconnected AC/DC networks to maintain the voltage stability

Dalali

Karegar

Zeineldin

2021

IET Generation Trans & Dist

View full text Add to dashboard Cite

The main remedial actions to prevent voltage instability problems are load shedding and rescheduling of generating units. In AC/DC networks, the presence of high voltage direct current (HVDC) links equipped with voltage source converter (VSC) provides an efficient active and reactive power support. As the voltage stability is a local phenomenon, the rescheduling of an HVDC link could change the arrangement of critical buses and the stability margin of the entire power system as a remedial action. Considering this problem, a new optimization algorithm is proposed to provide the desired voltage stability margin in interconnected AC/DC networks taking into account the post contingency conditions and minimizing the cost of remedial actions. The regulation of the converter operating point is presented as a novel remedial action. The well-known loading margin (LM) index is used as the voltage stability criterion and different VSC-HVDC structures, i.e. singleinfeed, multi-infeed and multi-terminal HVDC systems are considered. The effectiveness of the proposed algorithm is evaluated using an AC/DC system comprising the IEEE 118bus and New England 39-bus test systems. The results show that the proposed algorithm could provide the desired value of LM with the minimum value of load shedding and the control cost.

show abstract

“…On the other hand, several approaches have been proposed for power flow analysis under interval uncertainties during the last decade, where most of them are robust power flow formulations based on affine interval arithmetic [2]- [5]. In addition, an approach for optimal robust power flow with a linear power flow model is presented in [6]. Besides generator set points, they also compute the primary control parameters of a given set of generators to achieve feasible grid operation when the injections of other set of producers and consumers are uncertain.…”

Section: Introductionmentioning

confidence: 99%

Computing sparse affine-linear control policies for linear power flow in microgrids

Mora

Steinke

2020

2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

View full text Add to dashboard Cite

Robust Optimal Power Flow for Mixed AC/DC Transmission Systems With Volatile Renewables

Cited by 26 publications

References 33 publications

Affinely adjustable robust AC–DC optimal power flow considering correlation of wind power

Affinely adjustable robust AC–DC optimal power flow considering correlation of wind power

Optimal power rescheduling in interconnected AC/DC networks to maintain the voltage stability

Computing sparse affine-linear control policies for linear power flow in microgrids

Contact Info

Product

Resources

About