Alleviation of post‐contingency overloads by SOCP based corrective control considering TCSC and MTDC

Bi, Ruyu; Lin, Tao; Chen, Rusi; Ye, Jing; Zhou, Xueming; Xu, Xialing

doi:10.1049/iet-gtd.2017.1393

Cited by 16 publications

(14 citation statements)

References 27 publications

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“…Although the present version of the DIG-OPF model has not yet considered these devices, in theory, they can be added to the algorithm, which requires adding new equations and constraints to the problem. Some existing studies, e.g., [40]- [43], give useful guidance on how to model and add these devices. Fig.…”

Section: Proposed Dig-opf Modelmentioning

confidence: 99%

“…In practice, there are plenty of approaches to alleviating transmission line overloads in grid operations, such as load shedding [37], generation re-dispatch [38], line switching [39], and flexible power flow adjustment of FACTS devices [40]- [43]. In particular, FACTS devices are very effective in mitigating transmission line overloads in both HVAC and HVDC networks.…”

Section: Introductionmentioning

confidence: 99%

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Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model

Chen

Sun

et al. 2019

IEEE Access

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Online decision support for effective mitigation actions against propagating cascading outages in a power grid still poses a big challenge to grid operators. This paper proposes an online mitigation strategy against cascading outages using an optimal power flow model based on a Dynamic Interaction Graph. For a given power grid, its interaction graph, also called an interaction model, was proposed in recent literature, which is composed of components and links that have large contributions to outage propagation. Differing from a conventional interaction graph, a Dynamic Interaction Graph can adaptively update its parameters with changes of grid topology and hence is more accurate in online identification of the most vulnerable transmission lines and likely outage propagation paths for mitigation. Further, the paper introduces an optimal power flow model based on the proposed Dynamic Interaction Graph for determining the optimal control strategy to maintain transfer margins of vulnerable transmission lines and effectively mitigate outage propagation. The numerical results on the IEEE 118-bus system demonstrate the effectiveness of the proposed models and associated control strategy.

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Section: Proposed Dig-opf Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model

Chen

Sun

et al. 2019

IEEE Access

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“…In the constraints (33) and (34), the determined preventive power output PG * i,0 is a constant provided by results of the master problem in the current iteration. After solving the subproblems (31)-(36), the corrective power flow distribution is obtained and temperature variations after t 2 can be quantified by Equations (16) and (19).…”

Section: Subproblem 1 (Corrective Control Feasibility Check)mentioning

confidence: 99%

“…The NFC and NTC indicate the number of contingenies which cannot pass the corrective control feasibility check and the line thermal rating check. for each k ∈ [1, N K ] do 6: solve the subproblem 1 consisting of Equations (31)-(36); 7: if ∑ s i,k + r i,k = 0 then 8: generate the Benders cut by Equation (37) and return it into th master problem; 9: obtain the power flow distribution F k ; NFC = NFC + 1; for each k ∈ [1, N K ] do 14: for each line l operating in the contingency k do 15: calculate the Tc max l,kp and t equal l,kp by Equations (1)- (19) and (39), repsectively; 16: if Tc max l,kp > Tc l,Rate then 17: add line l into the set L k 18: end if 19: end for 20: if L k = φ then 21: NTC = NTC + 1; sumdTc = 0; 22: for each l ∈ L k do 23: sumdTc = sumdTc + (Tc max l,kp − Tc l,Rate ); 24: end for 25: for each i ∈ [1, N G ] do 26: sumpd i = 0; 27: for each l ∈ L k do 28: calculate the partial derivative…”

Section: Subproblem 2 (Line Thermal Rating Check)mentioning

confidence: 99%

“…The post-contingency demand response has been used to relieve overflows incurred by the renewable generation fluctuation and "N−1"contingencies in [18]. References [19,20] have analyzed the risk of cascading failures caused by post-contingency overloads in the alternating current (AC) and direct current (DC) power transmission network, while the thyristor controlled series capacitor and the multi-terminal direct current have been applied to minimize the load shedding and generation rescheduling, respectively. In addition, the model predictive control (MPC) provides a higher perspective beyond static and open-loop approaches.…”

Section: Introductionmentioning

confidence: 99%

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Using the Thermal Inertia of Transmission Lines for Coping with Post-Contingency Overflows

2019

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For the corrective security-constrained optimal power flow (OPF) model, there exists a post-contingency stage due to the time delay of corrective measures. Line overflows in this stage may cause cascading failures. This paper proposes that the thermal inertia of transmission lines can be used to cope with post-contingency overflows. An enhanced security-constrained OPF model is established and line dynamic thermal behaviors are quantified. The post-contingency stage is divided into a response substage and a ramping substage and the highest temperatures are limited by thermal rating constraints. A solving strategy based on Benders decomposition is proposed to solve the established model. The original problem is decomposed into a master problem for preventive control and two subproblems for corrective control feasibility check and line thermal rating check. In each iteration, Benders cuts are generated for infeasible contingencies and returned into the master problem for adjusting the generation plan. Because the highest temperature function is implicit, an equivalent time method is presented to calculate its partial derivative in Benders cuts. The proposed model and approaches are validated on three test systems. Results show that the operation security is improved with a slight increase in total generation cost.

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Decentralized optimal power flow based on auxiliary problem principle with an adaptive core

Lin

et al. 2022

Energy Reports

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Alleviation of post‐contingency overloads by SOCP based corrective control considering TCSC and MTDC

Cited by 16 publications

References 27 publications

Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model

Mitigation of Cascading Outages Using a Dynamic Interaction Graph-Based Optimal Power Flow Model

Using the Thermal Inertia of Transmission Lines for Coping with Post-Contingency Overflows

Decentralized optimal power flow based on auxiliary problem principle with an adaptive core

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