Optimal reactive power flow control for voltage profile improvement in AC-DC power systems

Sreejaya, P.; Iyer, Shrisan

doi:10.1109/pedes.2010.5712480

Cited by 6 publications

(8 citation statements)

References 7 publications

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“…Optimization of power systems encompasses a broad spectrum of problem domains, including optimal power flow [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], LMP-base market calculations [15], [16], [17], transmission switching [18], [19], [20], real-time security-constrained dispatch [21], [22], day-ahead security-constrained unit commitment [23], [24], [25], distribution network configuration [26], [27], capacitor placement [28], [29], [30], expansion planning [31], [32], [33], [34], [35], [36], [37], [38], [39], vulnerability analysis [40], [41], [42], [43], [44], and power system restoration [45], [46] to name a few. Some of these use active power only, while others consider both active and reactive power.…”

Section: Introductionmentioning

confidence: 99%

A Linear-Programming Approximation of AC Power Flows

Coffrin

Hentenryck

2014

INFORMS Journal on Computing

256

177

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Linear active-power-only DC power flow approximations are pervasive in the planning and control of power systems. However, these approximations fail to capture reactive power and voltage magnitudes, both of which are necessary in many applications to ensure voltage stability and AC power flow feasibility. This paper proposes linear-programming models (the LPAC models) that incorporate reactive power and voltage magnitudes in a linear power flow approximation. The LPAC models are built on a convex approximation of the cosine terms in the AC equations, as well as Taylor approximations of the remaining nonlinear terms. Experimental comparisons with AC solutions on a variety of standard IEEE and MATPOWER benchmarks show that the LPAC models produce accurate values for active and reactive power, phase angles, and voltage magnitudes. The potential benefits of the LPAC models are illustrated on two "proof-of-concept" studies in power restoration and capacitor placement.Index Terms-DC power flow, AC power flow, LP power flow, linear relaxation, power system analysis, capacitor placement, power system restorationTransformer parameters V = | V |∠θ • Polar form S n AC Power at bus n S nm

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Section: Introductionmentioning

confidence: 99%

A Linear-Programming Approximation of AC Power Flows

Coffrin

Hentenryck

2014

INFORMS Journal on Computing

256

177

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“…The power losses obtained by the proposed algorithm for the continuous case are also less than those obtained by the linear programming technique [37] and GA [40] by 29.88% and 16.00%, respectively. The power losses obtained by the ABC algorithm for both discrete and continuous cases are less than those obtained by the linear programming technique [37] by 6.14% and 7.17%, respectively. The computational times for both load cases are almost the same (39.48 s).…”

Section: The Modified Ieee 14-bus Test Systemmentioning

confidence: 80%

“…The comparative results for the fitness values of this system are given in Table 1. As seen from Table 1, the results of the ABC algorithm for both discrete and continuous cases are better than those obtained by the linear programming technique [37] and GA [40].…”

Section: The Modified Ieee 14-bus Test Systemmentioning

confidence: 85%

“…The modified IEEE 14-bus test system consists of the establishment of a two-terminal DC link between buses 4 and 5 of the original IEEE 14-bus test system [37]. Buses 4 and 5 are the rectifier and inverter terminals of the DC link, respectively.…”

Section: The Modified Ieee 14-bus Test Systemmentioning

confidence: 99%

“…The system consists of two generators, three transformers, twenty AC lines, two switchable VAR compensators, and three synchronous condensers. The simulation is performed for two cases with light and heavy loads mentioned in [37]. As a result of the performed experiments the best population size is determined to be 20.…”

Section: The Modified Ieee 14-bus Test Systemmentioning

confidence: 99%

See 2 more Smart Citations

Artificial bee colony algorithm based optimal reactive power flow of two-terminal HVDC systems

Kılıç¹,

Ayan²

2016

Turk J Elec Eng & Comp Sci

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This paper presents a solution technique for the optimal reactive power flow (ORPF) of alternating currentdirect current (AC-DC) power systems using the artificial bee colony (ABC) algorithm. A high voltage direct current (HVDC) transmission link is one of the most important network components in AC-DC power systems. In recent years there has been an increasing number of studies related to power systems with HVDC transmission links. One of them is the reactive power flow (RPF) optimization. The aim of ORPF in alternating current (AC) or AC-DC power systems is to minimize transmission line power loss under equality and inequality constraints. The relationships related to the HVDC link are incorporated into AC power system equations considering its power transfer characteristics. This paper contributes to the solution of the problem by using the ABC algorithm for the first time. The proposed method is examined on three test systems and its effectiveness in these kinds of applications is shown by the comparative results.

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Modified differential evolution approach for practical optimal reactive power dispatch of hybrid AC–DC power systems

Sayah

2018

Applied Soft Computing

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Optimal reactive power flow control for voltage profile improvement in AC-DC power systems

Cited by 6 publications

References 7 publications

A Linear-Programming Approximation of AC Power Flows

A Linear-Programming Approximation of AC Power Flows

Artificial bee colony algorithm based optimal reactive power flow of two-terminal HVDC systems

Modified differential evolution approach for practical optimal reactive power dispatch of hybrid AC–DC power systems

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