Application of combined feasible-direction method and genetic algorithm to optimal planning of harmonic filters considering uncertainty conditions

Chang, Ying-Pin; Tseng, Wen-Kung; Tsao, Teng-Fa

doi:10.1049/ip-gtd:20045203

Cited by 15 publications

(12 citation statements)

References 8 publications

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“…To obtain the power generation costs of the units, the cost of each unit is represented by a function. For example, the fuel cost varies along a curve according to the load of the unit at various time periods; the function of fuel cost is shown in Equation (1) [18].…”

Section: Unit Commitment Problem Formulationmentioning

confidence: 99%

Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan

Wang

Kuo

et al. 2019

Applied Sciences

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When large amounts of wind power and solar photovoltaic (PV) power are integrated into an independent power grid, the intermittent renewable energy destabilizes power output. Therefore, this study explored the unit commitment (UC) optimization problem; the ramp rate was applied to solve problems with 30 and 10 min of power shortage. The data of actual unit parameters were provided by the Taiwan Power Company. The advanced priority list method was used together with a combination of a generalized Lagrangian relaxation algorithm and a random feasible directions algorithm to solve a large-scale nonlinear mixed-integer programming UC problem to avoid local and infeasible solutions. The results showed that the proposed algorithm was superior to improved particle swarm optimization (IPSO) and simulated annealing (SA) in terms of the minimization of computation time and power generation cost. The proposed method and UC results can be effective information for unit dispatch by power companies to reduce the investment costs of power grids and the possibility of renewable energy being disconnected from the power system. Thus, the proposed method can increase the flexibility of unit dispatch and the proportion of renewable energy in power generation. Appl. Sci. 2019, 9, 421 2 of 14 solar PV and wind power generation, respectively. The short-term goal comprised a total installed capacity of PV of 1520 MW and cumulative installed capacities of onshore and offshore wind power of 814 and 520 MW, respectively [2].In the traditional unit commitment (UC) problem, the startup and shutdown times of various units and the power output within a dispatch time period of 1 day to 1 week or even 1 month to 1 season are planned according to the system load to achieve the lowest operating cost. In addition, with the load requirement being satisfied, the traditional unit commitment problem ensures that the criteria for the operation of each unit can be met. These criteria include the upper and lower limits of power output for each unit, the ramp rates of the units, and the balance between the supply of and demand for electricity. However, because of the intermittent characteristic of renewable energy, the power output may substantially decrease or increase within a few minutes due to weather events (such as an eclipse, no wind, or strong wind). Such circumstances are typically managed by using pre-established spinning reserves and storage systems [3]. However, all these methods require additional costs and are unable to effectively use renewable energy.Some studies on the ramp rate of power generating units after the integration of renewable energy into the system are described as follows. Correa-Posada et al. used a dynamic ramping model, namely mixed-integer linear programming, which considered the flexibility of ramping limits to reduce the dynamic errors caused during ramping [4]. Ding and Bie used the IEEE 118 bus as an example; the Lagrangian relaxation method was integrated with the diagonal quadratic approximation method to solve t...

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Section: Unit Commitment Problem Formulationmentioning

confidence: 99%

Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan

Wang

Kuo

et al. 2019

Applied Sciences

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“…In DC arc furnace plants with thyristor‐based power supply, as it is discussed in some previous literatures , single tuned passive harmonic filters have been applied to suppress the harmonic components and reactive power compensation. In this paper, because of the numerous significant interharmonic components, it is preferred to apply IPF instead of single tuned harmonic filters.…”

Section: Simulating a Typical DC Arc Furnace Plantmentioning

confidence: 99%

A novel feeding topology for DC electric arc furnaces utilizing PWM-AC choppers

Kolagar

Shoulaie

2012

Int. Trans. Electr. Energ. Syst.

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SUMMARY The main contribution of this paper is the study of a new feeding system for direct current (DC) electric arc furnaces. This system includes pulse‐width modulation‐alternating current (PWM‐AC) choppers along with six‐pulse diode rectifier. In contrast with traditional power supplies such as 12‐pulse thyristor‐based rectifier and 12‐pulse diode rectifier–DC chopper‐based power supplies, the proposed configuration stands out because of the reduced number of rectifier units and output reactors. Furthermore, the proposed power supply system is free of any current/power‐sharing problems, and only one proportional‐integral controller is sufficient to control the DC arc current or its power. It is shown through analysis and simulation that in comparison with traditional feeding systems, the proposed topology can lead to smaller input filter size, total unbalance and harmonic distortion reduction, and power factor improvement. Copyright © 2012 John Wiley & Sons, Ltd.

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“…For the high-pass and C-type filters, the characteristic harmonic order, h 0 high-pass , and the damping time constant, m c-type , are calculated by the use of Eqs. (2) and (3), respectively [10]. The term f 0 denotes the fundamental frequency:…”

Section: Feasible Solutionsmentioning

confidence: 99%

A fault analysis of DC electric arc furnaces with SVC harmonic filters in a mini-mill plant

Park¹,

Lee

Jang

et al. 2010

Electric Power Systems Research

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Application of combined feasible-direction method and genetic algorithm to optimal planning of harmonic filters considering uncertainty conditions

Cited by 15 publications

References 8 publications

Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan

Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan

A novel feeding topology for DC electric arc furnaces utilizing PWM-AC choppers

A fault analysis of DC electric arc furnaces with SVC harmonic filters in a mini-mill plant

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