Performance and Accuracy Investigation of the Two-Step Algorithm for Power System State and Line Temperature Estimation

Wydra, M.

doi:10.3390/en11041005

Cited by 13 publications

(16 citation statements)

References 40 publications

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“…Performance and accuracy investigation of two-step algorithm for power system state and line temperature estimation presented in [40]. To asses the performance of the proposed algorithm, we compare it with the GA and PSO algorithms applied individually to the current scenario.…”

Section: Performance Analysis and Resultsmentioning

confidence: 99%

An Improved Algorithm for Optimal Load Shedding in Power Systems

et al. 2018

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A blackout is usually the result of load increasing beyond the transmission capacity of the power system. A collapsing system enters a contingency state before the blackout. This contingency state is characterized by a decline in the bus voltage magnitudes. To avoid blackouts, power systems may start shedding load when a contingency state occurs called under voltage load shedding (UVLS). The success of a UVLS scheme in arresting the contingency state depends on shedding the optimum amount of load at the optimum time and location. This paper proposes a hybrid algorithm based on genetic algorithms (GA) and particle swarm optimization (PSO). The proposed algorithm can be used to find the optimal amount of load shed for systems under stress (overloaded) in smart grids. The proposed algorithm uses the fast voltage stability index (FVSI) to determine the weak buses in the system and then calculates the optimal amount of load shed to recover a collapsing system. The performance analysis shows that the proposed algorithm can improve the voltage profile by 0.022 per units with up to 75% less load shedding and a convergence time that is 53% faster than GA.

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Section: Performance Analysis and Resultsmentioning

confidence: 99%

An Improved Algorithm for Optimal Load Shedding in Power Systems

et al. 2018

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“…Benders decomposition algorithm [37][38][39] is adopted to transform model (36) into a two-stage RTEP model. Accordingly, we first rewrite (36) as follows.…”

Section: Two-stage Rtep Methods With Benders Decomposition Algorithmmentioning

confidence: 99%

“…Letting λ and µ denote the Lagrange multiplier vectors of By ≥ Cχ and Mx + Ny ≥ Oχ, respectively, the second-stage sub-problem in (38) can be given according to duality theory as:…”

Section: Two-stage Rtep Methods With Benders Decomposition Algorithmmentioning

confidence: 99%

“…According to strong duality theory [40], when an optimal solution exists for the original sub-problem in (38), an optimal solution will also exist for the dual problem (39)- (40). Furthermore, the objective function value of the original problem is equal to that of the dual problem at the optimal point.…”

Section: Two-stage Rtep Methods With Benders Decomposition Algorithmmentioning

confidence: 99%

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An Extreme Scenario Method for Robust Transmission Expansion Planning with Wind Power Uncertainty

et al. 2018

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Abstract:The rapid incorporation of wind power resources in electrical power networks has significantly increased the volatility of transmission systems due to the inherent uncertainty associated with wind power. This paper addresses this issue by proposing a transmission network expansion planning (TEP) model that integrates wind power resources, and that seeks to minimize the sum of investment costs and operation costs while accounting for the costs associated with the pollution emissions of generator infrastructure. Auxiliary relaxation variables are introduced to transform the established model into a mixed integer linear programming problem. Furthermore, the novel concept of extreme wind power scenarios is defined, theoretically justified, and then employed to establish a two-stage robust TEP method. The decision-making variables of prospective transmission lines are determined in the first stage, so as to ensure that the operating variables in the second stage can adapt to wind power fluctuations. A Benders' decomposition algorithm is developed to solve the proposed two-stage model. Finally, extensive numerical studies are conducted with Garver's 6-bus system, a modified IEEE RTS79 system and IEEE 118-bus system, and the computational results demonstrate the effectiveness and practicability of the proposed method.

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“…In recent years, some effort has been spent by power engineers and researchers to investigate the optimum operation scheme of the alternating current /direct current (AC/DC) hybrid power system, such as researching the transmission power limits with temperature [4][5][6]. The simplest approach is to treat HVDC transmissions as constant power injections or withdrawals.…”

Section: Introductionmentioning

confidence: 99%

Minimum Frequency and Voltage Stability Constrained Unit Commitment for AC/DC Transmission Systems

Zhang

Zhou

2019

Applied Sciences

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An increased use of the high-voltage direct current (HVDC) technologies can have important effects on frequency performance and voltage stability of the receiving-end grid during normal operation as well as during blocking failure. The main reasons are the inherent characteristics of the HVDC such as its much larger capacity than thermal plants and lack of voltage supporting ability to the alternating current (AC) grid. These has led to new challenges for AC/direct current (DC) power grid operators in terms of ensuring power system security. To address these challenges, a unit commitment (UC) of the receiving-end in the AC/DC hybrid grid is presented in this paper. In the proposed model, primary frequency modulation constraints are added to provide sufficient capacity for HVDC blocking. Besides, grid security constraint after secondary frequency regulation is also considered because HVDC blocking failure would cause large range power transfer and transmission lines overload. Meanwhile, voltage stability constraints are employed to guarantee enough voltage supporting capacity from thermal plants at the HVDC feed-in area. Based on the characteristics of the model, Benders decomposition and mixed integer programming algorithm are used to get the optimal transmission power of the HVDC and schedule of thermal units. The study is done by considering the IEEE-39 and Jiangsu power grid in eastern China, containing two HVDC transmission projections respectively. The results are also validated by simulation of different HVDC blocking failure scenarios.

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Performance and Accuracy Investigation of the Two-Step Algorithm for Power System State and Line Temperature Estimation

Cited by 13 publications

References 40 publications

An Improved Algorithm for Optimal Load Shedding in Power Systems

An Improved Algorithm for Optimal Load Shedding in Power Systems

An Extreme Scenario Method for Robust Transmission Expansion Planning with Wind Power Uncertainty

Minimum Frequency and Voltage Stability Constrained Unit Commitment for AC/DC Transmission Systems

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