Online decision-making and control of power system stability based on super-real-time simulation

Fang, Tian; Zhang, Xing; Yu, Zhihong; Qiu, Weijiang; Shi, Dongcheng; Qiu, Jian; Liu, Min; Li, Yalou; Zhou, Xiaoxin

doi:10.17775/cseejpes.2016.00014

Cited by 17 publications

(8 citation statements)

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“…With less than four references per application, PHC technologies have been used in dynamic state estimation [94,200,201], power system planning [236,237], TSCOPF [230,231], power system reliability [238,239], electromagnetic transient simulation [91,92], dynamic models [2,216], short circuit analysis [235], security constrained economic dispatch [242], probabilistic power flow [224], and hydro thermal scheduling [243]. In ref.…”

Section: Other Applicationsmentioning

confidence: 99%

A Review of Parallel Heterogeneous Computing Algorithms in Power Systems

et al. 2021

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The power system expansion and the integration of technologies, such as renewable generation, distributed generation, high voltage direct current, and energy storage, have made power system simulation challenging in multiple applications. The current computing platforms employed for planning, operation, studies, visualization, and the analysis of power systems are reaching their operational limit since the complexity and size of modern power systems results in long simulation times and high computational demand. Time reductions in simulation and analysis lead to the better and further optimized performance of power systems. Heterogeneous computing—where different processing units interact—has shown that power system applications can take advantage of the unique strengths of each type of processing unit, such as central processing units, graphics processing units, and field-programmable gate arrays interacting in on-premise or cloud environments. Parallel Heterogeneous Computing appears as an alternative to reduce simulation times by optimizing multitask execution in parallel computing architectures with different processing units working together. This paper presents a review of Parallel Heterogeneous Computing techniques, how these techniques have been applied in a wide variety of power system applications, how they help reduce the computational time of modern power system simulation and analysis, and the current tendency regarding each application. We present a wide variety of approaches classified by technique and application.

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Section: Other Applicationsmentioning

confidence: 99%

A Review of Parallel Heterogeneous Computing Algorithms in Power Systems

et al. 2021

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“…The rated frequency of the EPG is f S . During simulations, the time derivative f˙C OI is calculated, as shown in (9), to determine the trend of frequency changes after f COI is obtained at each integration step. If f˙C OI (t − Δt) < 0 and f˙C OI (t) > 0, f COI (t − Δt) is a local minimum point on the f COI trajectory.…”

Section: Frequencymentioning

confidence: 99%

“…If the current operation state or the contingency is not taken into account during the offline pre-decision-making, the strategy table may not work properly, leading to inaccuracy or even mismatch. The online pre-decision-making ECS introduces the telemetering signals and data measured by external systems such as the energy management system and the wide-area measurement system (WAMS) into the offline pre-decision-making ECS so that the strategy table can be updated by online calculations at regular intervals according to the current operation state of the power grid [3][4][5][6][7][8][9][10]. The ECS requires the decision-making process to be fast.…”

Section: Introductionmentioning

confidence: 99%

“…The ECS requires the decision-making process to be fast. Owing to the fact that the detailed TSS is very time-consuming, simplified TSS [3], early-termination techniques [4], direct methods [5], hybrid methods [7,8,10] and parallel computing [9] are used for transient stability analysis. Based on the operation state at the time, the strategy table is much more accurate and the probability of inaccuracy and mismatch is obviously reduced.…”

Section: Introductionmentioning

confidence: 99%

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Design and tests of a super real‐time simulation‐based power system real‐time decision‐making emergency control system

Xiao

Zou

Xia

et al. 2020

IET Generation, Transmission & Distribution

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“…The implementation scheme of generator tripping is calculated by offline simulations in the early period [2, 3]. Then the online simulations are gradually adopted to make the decision of generator tripping control [4, 5]. However, the computational burden of simulations becomes rather heavy with the development of the grid.…”

Section: Introductionmentioning

confidence: 99%

Emergency power balance control based on proactive motor operation of DFIG‐based wind turbines for sending grid stability

Zheng

Ouyang

Xiong

et al. 2020

IET Renewable Power Generation

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The transmission lines between the sending and receiving ends of an interconnected power grid may be tripped under severe disturbance or equipment failure. The tripping will result in a large power imbalance in the sending grid, thereby causing frequency instability and even collapse. The effect of existing emergency control methods based on synchronous generators, such as generator tripping control, is limited due to the lack of available tripped generators, high cost and long recovery time. The high penetration and flexible controllability provide wind farms with the potential to participate in system emergency control. To evacuate excess power from the tripping of transmission lines and improve frequency stability, an emergency power balance control method based on the doubly‐fed induction generator (DFIG)‐based wind turbine (DFWT) is proposed in this study. A novel idea of the motor operation of DFWT is presented and applied to the proposed method. To realise steady and adjustable power consumption of DFWT under motor operation, a rotor virtual resistor control and supplementary pitch control are introduced under safety constraints. The validity of the proposed method is verified by case studies on single DFWT and DFWT‐based wind farms.

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Online decision-making and control of power system stability based on super-real-time simulation

Cited by 17 publications

References 0 publications

A Review of Parallel Heterogeneous Computing Algorithms in Power Systems

A Review of Parallel Heterogeneous Computing Algorithms in Power Systems

Design and tests of a super real‐time simulation‐based power system real‐time decision‐making emergency control system

Emergency power balance control based on proactive motor operation of DFIG‐based wind turbines for sending grid stability

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