Optimal Placement and Sizing of PV-STATCOM in Power Systems Using Empirical Data and Adaptive Particle Swarm Optimization

Sirjani, Reza

doi:10.3390/su10030727

“…To reduce power losses, minimize costs, and voltage improvement, [12] proposed using PSO with the power loss index for sizing and allocating PV-STATCOM in the grid. The applied methodology is compared with other metaheuristic approaches, and the adapted PSO obtains the best results and convergence time.…”

Section: Introductionmentioning

confidence: 99%

Metaheuristics for allocation and sizing of PV-STATCOM

Alves¹,

Martins²,

Marchesan³

et al. 2022

Preprint

0

View full text Add to dashboard Cite

<p>Distributed Generation (DG), especially photovoltaic distributed generation (PVDG), has contributed significantly to serving the growing demand for active power. However, the necessity to meet the demand for reactive power is still challenging. In addition to active power generation, photovoltaic inverters can be used to provide ancillary services to the grid, including reactive power compensation. This paper proposes a metaheuristic approach based on Particle Swarm Optimization (PSO) for allocation and sizing of photovoltaic inverters performing the complementary function of static synchronous compensator (PV-STATCOM) units. The objective function of the above-mentioned approach is to minimize the initial investment in the acquisition of PV-STATCOM units. The proposed methodology takes into account both daily load curve and generation and is applied to the 33 Bus Test System. The results show improved grid voltage profile throughout the day. Also, the photovoltaic inverter did not fail to perform its main function, i.e., that of generating active power. One of the major contributions of the proposed methodology is that it will assist investors in determining the allocation and sizing of PV-STATCOM units to perform the ancillary service of reactive power compensation in the grid.</p>

show abstract

“…The applied methodology is compared with other metaheuristic approaches, and the adapted PSO obtains the best results and convergence time. The article by [12] doesn't consider the allocation of multiple PV-STATCOM units.…”

Section: Introductionmentioning

confidence: 99%

Metaheuristics for allocation and sizing of PV-STATCOM

Alves¹,

Martins²,

Marchesan³

et al. 2022

Preprint

0

View full text Add to dashboard Cite

<p>Distributed Generation (DG), especially photovoltaic distributed generation (PVDG), has contributed significantly to serving the growing demand for active power. However, the necessity to meet the demand for reactive power is still challenging. In addition to active power generation, photovoltaic inverters can be used to provide ancillary services to the grid, including reactive power compensation. This paper proposes a metaheuristic approach based on Particle Swarm Optimization (PSO) for allocation and sizing of photovoltaic inverters performing the complementary function of static synchronous compensator (PV-STATCOM) units. The objective function of the above-mentioned approach is to minimize the initial investment in the acquisition of PV-STATCOM units. The proposed methodology takes into account both daily load curve and generation and is applied to the 33 Bus Test System. The results show improved grid voltage profile throughout the day. Also, the photovoltaic inverter did not fail to perform its main function, i.e., that of generating active power. One of the major contributions of the proposed methodology is that it will assist investors in determining the allocation and sizing of PV-STATCOM units to perform the ancillary service of reactive power compensation in the grid.</p>

show abstract

“…In 2018, applied Cuckoo Searching Algorithm (CSA) based APL and cumulative voltage deviation ratio reduction, 14 improved PSO algorithm with adaptive inertia weight based on Success Rate (IPSO‐SR) for maximizing the voltage profile enhancement index, the benefit‐cost ratio, and the emission cost‐benefit index, 15 Adaptive PSO (APSO) for power loss index minimization on considering load ratio in different time intervals in Northern Cyprus power network, 16 Applied Water Cycle Algorithm (WCA) for minimizing APL, voltage deviation, total electrical energy cost, total emissions produced by generation sources and improving the VSI in real part of Egyptian system, 17 Modified Shuffled Frog Leaping Algorithm (MSFLA) based on the innovative formulas such as revamp VSI, cost, and environmental benefit index with considering different load models, 18 and Sine‐Cosine Algorithm (SCA) based on VSI to achieve a minimum APL 19 …”

Section: Introductionmentioning

confidence: 99%

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Zellagui

¹

,

Lasmari

²

,

Settoul

³

et al. 2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Enhancing distribution system operation accomplished with the integration of renewable energy resources (RERs) has several technical, economical, and environmental dimensions. In this regard, this paper presents an optimal integration procedure of Distributed Generation (DG) based on Photovoltaic panel (PV) and Distribution Static Compensator (DSTATCOM) in Electrical Distribution System (EDS). The proposed procedure is formulated as a multi‐objective function (MOF). The considered objectives that reflect the technical, economic, and environmental issues, are Active Power Loss Level (APLL), Short Circuit Level (SCL), Voltage Deviation Level (VDL), Net Saving Level (NSL), and Environmental Pollution Reduction Level (EPRL). The proposed procedure investigates several hybrid optimization methods that combine the firefly algorithm (FA) with various acceleration coefficients PSO algorithms to improve the overall solution quality of the hybrid algorithms compared with the individual algorithms. To prove the capability of the proposed procedure, four different cases are tested on IEEE 33‐bus and 69‐bus EDSs. Added to that, the proposed algorithms are extended to practical Algerian EDS in Adrar City 205‐bus. Results obtained by the hybrid FA‐SCAC‐PSO algorithm showed that the simultaneous allocation of multiple DG and DSTATCOM in all standard and practical test systems significantly reduces the loss and enhances the voltage profile. An energy‐efficient analysis to proceed for different cases studied based on the best hybrid FA‐SCAC‐PSO algorithm to reach the best value of MOF compared to other algorithms, moreover the capability to achieve the optimal allocation of DG and DSTATCOM by maintaining the voltages profile within the permissible limit, whatever the variation of load. Significant technical economic and environmental achievements are found for different case studies especially in the existence of DGs and DSTATCOM devices.

show abstract

Optimal Placement and Sizing of PV-STATCOM in Power Systems Using Empirical Data and Adaptive Particle Swarm Optimization

Cited by 31 publications

References 27 publications

Metaheuristics for allocation and sizing of PV-STATCOM

Metaheuristics for allocation and sizing of PV-STATCOM

Metaheuristics for allocation and sizing of PV-STATCOM

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Contact Info

Product

Resources

About