Decentralized and hierarchical voltage management of renewable energy resources in distribution smart grid

Fallahzadeh-Abarghouei, Hossein; Hasanvand, Saeed; Nikoobakht, Ahmad; Doostizadeh, Meysam

doi:10.1016/j.ijepes.2018.02.006

Cited by 34 publications

(15 citation statements)

References 22 publications

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“…DG and D-STATCOM rating limit: Power injected into the system by DG and D-STATCOM shall be within minimum and maximum specified limits as given in Equations 10 to 13. Limits of OLTC tap position are given in Equation 16.…”

Section: Optimal Rating Of Dg and D-statcom Using Gamsmentioning

confidence: 99%

“…Hybrid grey wolf optimization algorithm was used in Sanjay et al to determine location and size of DGs to minimize line losses. Voltage management in distribution systems was addressed in two levels by controlling reactive power of renewable‐based DGs. Distribution network was divided into different areas and equipped with DGs.…”

Section: Introductionmentioning

confidence: 99%

“…Nomenclature: nd, total number of nodes; nbr, total number of branches; V i , bus voltage at node i; P slack , active power supplied by the slack bus; Q slack , reactive power supplied by the slack bus; P di , active power demand respectively at node i; Q di , reactive power demand respectively at node i; V max i ; V min i , maximum and minimum limit of bus voltage at ith node; δ max i ; δ min i , maximum and minimum limit of voltage angle at ith node; tap max i ; tap min i , maximum and minimum limit of tap position; S max ij , maximum complex power flow limit in branch ij; S ij , complex power flow in a branch ij; G ij , conductance of the branch ij; B ij , susceptance of the branch ij; pf up i ; pf lo i , upper and lower limit of average power factor of system; Q DST max , maximum limit of reactive power compensation; Q DST min , minimum limit of reactive power compensation; Q DST , reactive power compensation; NDST max , maximum number of D-STATCOMs; K e , cost of energy loss; C p , purchase cost; DG ins , installation cost of DG; DG o&m , operation and maintenance cost of DG; DST ins , installation cost of D-STATCOM; DST o&m , operation and maintenance cost of D-STATCOM; P loss , real power loss; Q loss , reactive power loss; TP loss , total real power loss without compensation; OLTC, on-load tap changer circuit; TP after loss , total real power loss after compensation; CEL , cost of energy loss; P o , nominal real power load; Q o , nominal reactive power load; α, composition of residential load; β, composition of commercial load; γ, composition of industrial load; n pr , n qr , exponential coefficients for residential load; n pc , n qc , exponential coefficients for commercial load; n pi , n qi , exponential coefficients for industrial load minimize line losses. Voltage management in distribution systems was addressed 16 in two levels by controlling reactive power of renewable-based DGs. Distribution network was divided into different areas and equipped with DGs.…”

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confidence: 99%

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Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Murty

Sharma

2018

Int Trans Electr Energ Syst

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Summary This paper presents optimal coordination and management of on‐load tap changer (OLTC), distribution static compensator (D‐STATCOM), distribution generation (DG), and reconfiguration to maximize annual cost savings and improve voltage profile using hybrid optimization. An analytical approach is developed to find optimal setting of OLTC. Optimal reconfiguration of the network is derived using genetic algorithm. Optimal location of DG and D‐STATCOM is determined using gravitational search algorithm, and optimal ratings are obtained using interface with MATLAB and GAMS environment. Fourteen realistic case studies are investigated in this paper work. In the first scenario, regulating devices are disabled to monitor the voltage profile and energy loss of the test system. In the remaining cases, influence of OLTC, DG, D‐STATCOM, and reconfiguration is independently and simultaneously studied. In the last scenario, OLTC, DG, D‐STATCOM, and reconfiguration are enabled to maintain voltage security and minimize power losses. Simulation results are obtained for IEEE 69‐bus test system and compared with other existing methods available in the literature. The proposed technique is reliable and efficient to obtain global optimal solution. Simulation results clearly indicate that optimal coordination and management among OLTC, DG, D‐STATCOM, and reconfiguration is required to maximize annual cost savings and maintain voltage at each node as per statutory requirements. Moreover, the analysis has been carried out for time‐varying distribution system with realistic load model.

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Section: Optimal Rating Of Dg and D-statcom Using Gamsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Murty

Sharma

2018

Int Trans Electr Energ Syst

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“…Therefore, in the recent years, the Wind turbine System moved towards the permanent magnet synchronous generator (PMSM) machine which has higher quality and larger power density. Furthermore, the permanent magnet synchronous generator (PMSG) reduces the mechanical stress by removing the necessity of the multiplicator which improves the system's reliability and decreases the maintenance costs by directly coupling the turbine and the shafts of the generator [1]- [16].…”

Section: Introductionmentioning

confidence: 99%

Sliding mode control design of wind power generation system based on permanent magnet synchronous generator

Laabidine

Errarhout

Bakkali

et al. 2021

IJPEDS

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This paper aims to implement a new contribution for sliding mode control (SMC) of permanent magnet synchronous generator (PMSG) for wind systems conversion with track the maximum power point tracking (MPPT) power. The SMC is a very popular approach due to its robustness in dealing with the non-linear electrical power systems. In this work, the application of the SMC control is by using the non lineare model of the PMSG. The objective of this work is to control stator active and stator reactive power, and the voltage-frequency for a better injection into the network. The results obtained show better robustness.

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“…Lately, the use of renewable energies (i.e., wind and solar photovoltaic) to increase in an incredible way thanks to the scarcity of combustibles. Wind energy is supposed to be the best in terms of quality and price [1]. There are several research studies about the wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Improvement of sliding mode power control applied to wind system based on doubly-fed induction generator

Majout

Abrahmi

Ihedrane

et al. 2021

IJPEDS

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In this work, we are interested in improving the performance of a doubly-fed induction generator (DFIG)-based wind system, by applying a sliding mode control strategy. The objective is the regulation of the active and reactive power, also the voltage and the frequency of the signal injected into the distribution network. The model proposed for the control is based on the sliding mode technique with performance estimators. The proposed model was validated by a simulation on MATLAB/Simulink.

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Decentralized and hierarchical voltage management of renewable energy resources in distribution smart grid

Cited by 34 publications

References 22 publications

Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Sliding mode control design of wind power generation system based on permanent magnet synchronous generator

Improvement of sliding mode power control applied to wind system based on doubly-fed induction generator

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