Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations

Pereira, Luan D.L.; Yahyaoui, Imene; Fiorotti, Rodrigo; Menezes, Luíza Saleme de; Fardin, Jussara Farias; Rocha, Helder R. O.; Tadeo, Fernando

doi:10.1016/j.apenergy.2021.118097

Cited by 42 publications

(18 citation statements)

References 43 publications

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“…+ rand 3 (L (t) − GL r (t))) , R < 0.5 (25) where L r is a randomly selected gorilla from the group. GL (t) and GL (t + 1) are the candidate solutions of gorilla locations for iteration (t) and (t + 1), respectively.…”

Section: A Exploration Phasementioning

confidence: 99%

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Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

et al. 2023

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This paper proposes a coordination method for the voltage control devices based on optimal settings of the D-STATCOMs, on the load tap changer (OLTC) transformer and the distributed generations (DGs)-based renewable energy resources (RERs). The central controller is introduced to handle the active smart distribution network (SDN) problems to maintain the voltage profile within its permissible limits, minimize power losses in different operating conditions, and minimize the energy wastage from the distributed renewable energy resources. These problems are formulated as a multi-objective optimization problem. With increasing load demand and RERs in the distribution system, voltage coordination threatens real-time efficiency. In this research work, central controller-based Gorilla Troops optimization (GTO) algorithm is proposed to detect the optimum solutions for the voltage coordination problem. The load demand uncertainty and the stochastic nature of power generated from RERs (PV panels and wind turbines) are considered in the voltage coordination problem due to their significant effects on the operation and planning of the SDN. The proposed SDN has been represented based on the Internet of Things (IoT) communication protocol. It enhances the data and information transfer between the system-connected agents. A practical test system, NDEDC-24 bus radial distribution network from the North Delta Electrical Distribution Company and IEEE-33 node system are used to test and evaluate the proposed method. The results are compared with other well-known evolutionary methods. The proposed method obtains more accurate results than the other methods.INDEX TERMS D-STATCOM, distribution network, Internet of Things, on-load tap changer, voltage coordination.

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Section: A Exploration Phasementioning

confidence: 99%

“…An approach was developed relayed on the amount that the network radial feeder currents were reduced by DG units [23]. Thus, proper DG allocations (size and location) into the radial DN are required to minimize these problems [24], [25]. Various studies analyzed the integration of the DGs in the DNs from many points of view.…”

Section: Introductionmentioning

confidence: 99%

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

et al. 2023

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“…Installation of shunt capacitor banks has been regarded as a cost-effective and practical solution for power factor correction, voltage regulation, equipment capacity release, and energy loss reduction in power distribution grids [1,2]. The problem of optimal capacitor placement under sinusoidal voltages/currents is extensively studied in the literature [3,4].…”

Section: Motivationmentioning

confidence: 99%

“…Various feasible solutions are randomly generated, and the corresponding RIs are calculated using two methods: (1) comprehensive simulation, in which harmonic currents at different frequencies and buses are injected to the grid, and the maximum voltage IHD is considered for calculation of RI. (2) The proposed method, which employs the equations developed in section III, and in the interval [h−0.2, h+0.2] per unit. To facilitate the comparison, the symmetry line is also drawn in Figure 6.…”

Section: Ieee 18-bus Distorted Systemmentioning

confidence: 99%

A meta‐heuristic capacitor placement framework for distribution grids using modal resonance analysis

Farzin

Monadi

2022

IET Renewable Power Gen

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Shunt capacitors are usually installed in distribution grids for power factor correction. On the other hand, the number of harmonic‐producing sources such as wind turbines (WTs), photovoltaic (PV) panels, storage units, and electronic loads is rapidly growing in distribution grids. Since improper placement and sizing of shunt capacitors in harmonic‐polluted grids may aggravate power quality conditions and lead to harmonic resonance, special attention should be paid to this optimization problem when harmonics are present. In this paper, a framework based on shuffled frog leaping algorithm (SFLA) is proposed for optimal placement of fixed capacitor banks. Moreover, a resonance index (RI) is proposed for assessment and mitigation of potential harmonic resonance based on resonance mode analysis (RMA). The resonance mitigation method helps in avoiding power quality constraint violations and directs the algorithm toward the feasible solution space. It thus results in a higher efficiency, and the chance of reaching (near) globally optimum solutions increases. The proposed algorithm is particularly useful when detailed data regarding the harmonic injection pattern of nonlinear sources is not available. The proposed framework is implemented on the IEEE 18, 34, and 69‐bus test systems, and the results demonstrate its advantages, especially in larger grids.

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“…Therefore, changing locations and improving the utilization efficiency of PVGs plugging in a DN can effectively improvie the overall performance of the DN [6]. In reference [7], a strategy was reported for the optimal placement of DGs and capacitor banks in a DN. To accomplish such an optimization process, a time-saving approach based on genetic algorithm (GA) was presented.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of photovoltaic generations in buildings‐to‐distribution‐network integration system using improved backtracking search optimization algorithm

Tang,

Huang,

Zhang

et al. 2023

IET Generation Trans & Dist

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A novel optimal allocation framework for photovoltaic generations in an integration system of buildings‐to‐distribution‐network using improved backtracking search optimization algorithm is proposed here. In the proposed framework, photovoltaic generations are optimally allocated to optimize the overall performance of a buildings‐to‐distribution‐network regarding the efficient active power usage of photovoltaic generations, the energy savings, and voltage profile improvement of distribution network. The effects of building active demand response on the photovoltaic generations' optimal allocation are considered in the proposed framework. An improved backtracking search algorithm using two new operators is developed to optimize the active power reduction factors and locations of photovoltaic generations. The test results of IEEE 33‐bus and 69‐bus systems demonstrate that the developed framework can take full advantage of photovoltaic generation power and the active demand response of buildings to coordinate the efficient active power usage of photovoltaic generations, the voltage profile improvement and energy savings of a buildings‐to‐distribution‐network. In addition, the improved backtracking search optimization algorithm converges faster than genetic algorithm, classical backtracking search optimization algorithm, and bird swarm algorithm.

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Optimal allocation of distributed generation and capacitor banks using probabilistic generation models with correlations

Cited by 42 publications

References 43 publications

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

A meta‐heuristic capacitor placement framework for distribution grids using modal resonance analysis

Optimal allocation of photovoltaic generations in buildings‐to‐distribution‐network integration system using improved backtracking search optimization algorithm

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