Flexible reactive power management using PV inverter overrating capabilities and fixed capacitor

Souri, Saeed; Shourkaei, Hosein Mohammadnezhad; Soleymani, Soodabeh; Mozafari, Babak

doi:10.1016/j.epsr.2022.107927

Cited by 12 publications

(9 citation statements)

References 27 publications

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“…Nowadays, commercial smart inverters present this capability and can vary its operating point in order to introduce reactive power to the grid. However, the reactive power is a function of the generated active power (Figure 1), limiting its operation [15]. From the technical point of view, the local management of the reactive power can improve the grid operation with an adjustment of the voltage level in a line, when the appropriate control loop and signal are sent to the smart inverters [16].…”

Section: Local Reactive Powermentioning

confidence: 99%

Local reactive power management using solar pumping in isolated electrical systems

González-Díaz¹,

Rodríguez-Urrego²,

Gómez-González³

et al. 2024

RE&PQJ

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In this work, a new analysis of the solar pumping as a source to provide secondary regulation and local reactive management strategies into low-voltage grid, is addressed. Based on real generation data and the capabilities of a commercial solar inverter, the control and management of the different work modes of the power electronics is proposed to analyse the viability of the use of solar pumping systems to be active agents in the flexibility market. Finally, some regulatory issues are presented to evaluate the feasibility of this proposal.

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Section: Local Reactive Powermentioning

confidence: 99%

Local reactive power management using solar pumping in isolated electrical systems

González-Díaz¹,

Rodríguez-Urrego²,

Gómez-González³

et al. 2024

RE&PQJ

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“…So, l is added in the equation to represent random variation over time in the range of (0, 1). In equation (26), the constant (β 1 ) is selected to be 2 and the integer number (μ) is randomly taken between 0 and 1. Besides, the time coefcient (tc) is a value that changes with each iteration, and its value depends entirely on the maximum iteration number (It Max ) and the current iteration number (It).…”

Section: Initial Population Generationmentioning

confidence: 99%

“…In addition, a few other studies have analyzed the benefts for voltage regulation, loss reduction, and congestion mitigation through integrating photovoltaic inverter to generate reactive power [24,25]. In the DGU integrated system, the inverter can be used for injecting or absorbing reactive power to maximize the achieved economic and technical welfare [26]. For the optimization problem in generating the active and reactive powers, the power factor of DGUs needs to be considered and parameter should be inserted accordingly [27].…”

Section: Introductionmentioning

confidence: 99%

An Improved Equilibrium Optimizer for Optimal Placement of Distributed Generators in Distribution Systems considering Harmonic Distortion Limits

2022

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This paper proposes an improved equilibrium optimizer (IEO) for determining optimal location and effective size of distributed generation units (DGUs) in the distribution systems in order to minimize the total power loss on distribution branches, investment cost, and operation and maintenance cost. In a good obtained solution, limits of voltage, current, and harmonic flows are also seriously considered, exactly satisfying predetermined ranges. Especially, individual harmonic distortion (IHD) and total harmonic distortion (THD) of bus voltage must fall into IEEE Std. 519. The proposed IEO is developed from the original equilibrium optimizer (EO), which was motivated by control volume mass balance models. This novel algorithm can effectively expand the search area and avoid the premature convergence to low-quality solution spaces. With the determined solutions from IEO, not only are the voltages well improved but also the harmonics are mitigated from the violated values down to the allowable values of IEEE Std. 519. Moreover, the total power loss is significantly reduced from 0.2110 MW to 0.0815 MW, 0.2245 MW to 0.07197 MW, and 0.3161 MW to 0.1515 MW for IEEE 33-bus, IEEE 69-bus, and IEEE 85-bus radial distribution systems, respectively. Not only that, the total cost of DGUs is also more economical and consumes only $3.4753 million, $3.2840 million, and $3.0593 million corresponding to the three systems for a 20-year planning period. The performance of the proposed algorithm is compared to three other implemented methods consisting of artificial bee colony (ABC) algorithm, salp swarm algorithm (SSA), and EO and eight previously published methods for the three test systems. The comparisons of results imply that IEO is better than other methods in terms of performance, stability, and convergence characteristics.

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“…This technique allows selecting the distributed energy resource that can provide reactive power by limiting the reactive power supplied by the transmission system operator, thus reducing losses. In [23] was developed a reactive power methodology considering photovoltaic inverter capabilities and fixed capacitors. A mixed integer secondorder conic programming model is used, minimizing the maintenance and operation cost of compensation devices, thus confirming a considerable reduction in investment and energy losses in distribution grids.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Convex Optimization for Optimal Power Factor Correction in Microgrids with Photovoltaic Generation

Peña

Montoya

Garcés

et al. 2022

TecnoL.

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This research focused on the development of a methodology for calculating the optimal power factor (OPF) in microgrids with the photovoltaic generation, in order to use solar inverters as reactive compensators, which will change their power factor according to the needs of the load. The developed methodology proposes a convex optimization model with multiple constraints to solve the OPF problem. Wirtinger's linearization in the power balance equation was implemented. The stochastic behavior of solar radiation was considered using the average sampling approach (ASA) to generate solar scenarios, which are used to calculate the magnitude of the generation of photovoltaic systems for specific hours of the day. Finally, the algorithm was run on CIGRE's 19-node test grid. The proposed methodology showed that as the radiation level increases during the day, more radiation scenarios can be tested, which increases the accuracy of the power factor value for each PV system. Although the general idea in power systems is to have a unity power factor, the algorithm resulted in power factors with values less than one in some inverters. This represents an injection of reactive power from the inverters to meet the reactive needs of the loads connected close to said PV generators, which is reflected in a variation in the magnitude of the power factor.

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Flexible reactive power management using PV inverter overrating capabilities and fixed capacitor

Cited by 12 publications

References 27 publications

Local reactive power management using solar pumping in isolated electrical systems

Local reactive power management using solar pumping in isolated electrical systems

An Improved Equilibrium Optimizer for Optimal Placement of Distributed Generators in Distribution Systems considering Harmonic Distortion Limits

Stochastic Convex Optimization for Optimal Power Factor Correction in Microgrids with Photovoltaic Generation

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