Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage

Tang, Yi; Liu, Yuqian; Jia, Ning; Zhao, Jingbo

doi:10.3390/en10111804

Cited by 11 publications

(7 citation statements)

References 27 publications

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“…This makes it overcome many drawbacks of existing lumped FACTS technologies. The installation and electromechanical concept diagram are shown in [10]. The remarkable benefits are as follows: À ability to match the investment with the actual increase of load demand;à bility to plan to adjust the locations according to the change of system operation modes;´flexible installation does not require an additional footprint;ˆavoidance of high voltage insulation, thus reducing manufacturing costs.…”

Section: Structure Of Dpfcmentioning

confidence: 99%

“…In the compensation mode, the D-FACTS controller achieves power flow control by compensating transmission line impedance. A new type of D-FACTS called distributed power flow controller (DPFC) is proposed in [10], and its compensation mode can be divided into series reactor mode and reactive voltage injection mode according to the selection of the module switch and the state change of the composite switch. A multi-timescale coordinated scheduling model with DPFC to minimize wind power spillage is investigated in [10].…”

Section: Introductionmentioning

confidence: 99%

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Optimal configuration of distributed power flow controller to enhance system loadability via mixed integer linear programming

Dai

Tang

Liu

et al. 2019

J. Mod. Power Syst. Clean Energy

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Increasing energy consumption has caused power systems to operate close to the limit of their capacity. The distributed power flow controller (DPFC), as a new member of distributed flexible AC transmission systems, is introduced to remove this barrier. This paper proposes an optimal DPFC configuration method to enhance system loadability considering economic performance based on mixed integer linear programming. The conflicting behavior of system loadability and DPFC investment is analyzed and optimal solutions are calculated. Thereafter, the fuzzy decision-making method is implemented for determining the most preferred solution. In the most preferred solution obtained, the investment of DPFCs is minimized to find the optimal number, locations and set points. Simulation results on the IEEE-RTS79 system demonstrate that the proposed method is effective and reasonable.

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Section: Structure Of Dpfcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal configuration of distributed power flow controller to enhance system loadability via mixed integer linear programming

Dai

Tang

Liu

et al. 2019

J. Mod. Power Syst. Clean Energy

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [23][24][25], DPFC was used to improve power quality problems during voltage sag and swell conditions. In [26], taking the constraints of DPFC, an optimal scheduling model is established to realize wind power spillage minimization. However, the generation of the reference base-frequency voltage is not clear.…”

Section: Introductionmentioning

confidence: 99%

Coordination Control Method Suitable for Practical Engineering Applications for Distributed Power Flow Controller (DPFC)

Xiao

Wang

2018

Energies

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To control multiple series units of distributed power flow controller (DPFC), a hierarchical control method is proposed. This coordination control system consists of a coordination controller and multiple series unit controllers. According to the demand of power flow ordered by a dispatch center, the corresponding series-compensated voltage is calculated by a high-level controller and transferred to each series unit controller. Comparing the targeted compensated voltage with actual injected voltage, the modulation signal of the converter will be modified to change the power flow accurately. The DPFC system model is built in Power Systems Computer Aided Design/ Electromagnetic Transients including DC (PSCAD/EMTDC). The simulation result indicates that the proposed hierarchical control method is effective and can be considered as an option for practical engineering applications in the future.

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“…This problem is also known as ultrashort-term (UST) scheduling, which is short-cycle scheduling with short-term and real-time components. For UST scheduling, previous studies focused on load forecasting [25]- [27], power generation adjustment strategies for AGC units based on load forecasting deviations [28]- [30], minimizing operation costs together with maximizing ability of accommodating wind power for wind-thermal-hydro power system [31], multi-time scale coordinated scheduling for minimizing wind power spillage [32], multi-time scale coordinated scheduling for multi-source generation systems to minimal operation cost of thermal units [33] and other tasks. In this paper, a rolling optimal hourly UST scheduling model for interbasin cascaded HPs is proposed to rapidly balance the load demands.…”

mentioning

confidence: 99%

Ultrashort-Term Scheduling of Interbasin Cascaded Hydropower Plants to Rapidly Balance the Load Demand

et al. 2020

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The short-term scheduling schemes of cascaded hydropower plants are based on day-ahead hydrological forecasting information. Affected by the accuracy of prediction, real-term hydrological information can considerably vary from previously forecasted values, especially for the power load and local inflows. As a result, short-term scheduling schemes are difficult to apply directly in real-time scheduling. To solve this problem, a rolling optimal hourly operation model for interbasin cascaded hydropower plants is proposed to rapidly balance the load demand. The model is deemed an ultrashort-term model, and it has a short-cycle schedule between short-term and real-time schemes. The basic strategy of solving the model is as follows. First, the day-ahead power load and local inflow information are corrected using a statistical method based on the most recent real-time information. Second, the water delay time, defined as the time between when water is released from upstream reservoirs and arrives at downstream reservoirs, is updated based on the most recent real-time information. Third, a heuristic method is proposed to dynamically update the short-term scheduling scheme over the next few hours. The objective is to minimize the maximum relative deviation between the actual water level of a reservoir at the end of 24 hours and the day-ahead forecasted value. This approach can keep the reservoir water level at the end of 24 hours close to the forecasted value and improve the accuracy of estimating the initial water level the next day. The developed method is applied to solve an ultrashort-term scheduling problem involving the cascaded hydropower plants located in Yunnan Province, China. The results indicate that the proposed model can achieve seamless coupling between shortterm scheduling and real-time scheduling. The proposed method can provide a scientific basis for the realtime dispatching of large-scale hydropower plants and improve the practicality of short-term dispatching schemes. INDEX TERMS Ultrashort term, water delay time, cascaded hydropower plants, real-time scheduling, optimal scheduling. NOMENCLATURE The notations used in the mathematical model of hydropower operation are given as follows. A. SETS M Set of reservoirs or hydropower plants (HPs) M 2 Set of HPs that can increase power generation M 3 Set of HPs that can reduce their power generation The associate editor coordinating the review of this manuscript and approving it for publication was Zhiyi Li .

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Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage

Cited by 11 publications

References 27 publications

Optimal configuration of distributed power flow controller to enhance system loadability via mixed integer linear programming

Optimal configuration of distributed power flow controller to enhance system loadability via mixed integer linear programming

Coordination Control Method Suitable for Practical Engineering Applications for Distributed Power Flow Controller (DPFC)

Ultrashort-Term Scheduling of Interbasin Cascaded Hydropower Plants to Rapidly Balance the Load Demand

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