Multi‐objective optimisation‐based active distribution system planning with reconfiguration, intermittent RES, and DSTATCOM

Sannigrahi, Surajit; Ghatak, Sriparna Roy; Acharjee, Parimal

doi:10.1049/iet-rpg.2018.6060

Cited by 20 publications

(27 citation statements)

References 32 publications

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“…The DSTATCOM is a distributed FACTS device used in EDS to compensate for reactive power 54 . When compared to a shunt capacitor, this device has various advantages, including higher regulatory capacity, faster reaction, and fewer harmonics 55 . DSTATCOM is treated as a reactive power source in this research, and the injected current must be in quadrature with the system voltage 56 .…”

Section: Modeling Of Pv Source and Dstatcommentioning

confidence: 99%

“…DSTATCOM is treated as a reactive power source in this research, and the injected current must be in quadrature with the system voltage 56 . The phasor diagram of the EDS in the presence of DSTATCOM is represented in References 54–56. The DSTATCOM model can be expressed as follows:

∠ I_{DSTATCOM} = \frac{π}{2} + β, β < 0

V_{R . italicNEW} ∠ β = V_{S} ∠ δ - ([], ((), R_{L} + {jX}_{L}) . I_{L} ∠ α) - ([], ((), R_{L} + {jX}_{L}) . I_{DSTATCOM} ∠ β + \frac{π}{2})

{jQ}_{DSTATCOM} = V_{R . italicNEW} . I_{DSTATCOM}

V_{R . italicNEW} = V_{R . italicNEW} ∠ β

…”

Section: Modeling Of Pv Source and Dstatcommentioning

confidence: 99%

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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

Lasmari

Settoul

et al. 2021

Int Trans Electr Energ Syst

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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.

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Section: Modeling Of Pv Source and Dstatcommentioning

confidence: 99%

∠ I_{DSTATCOM} = \frac{π}{2} + β, β < 0

V_{R . italicNEW} ∠ β = V_{S} ∠ δ - ([], ((), R_{L} + {jX}_{L}) . I_{L} ∠ α) - ([], ((), R_{L} + {jX}_{L}) . I_{DSTATCOM} ∠ β + \frac{π}{2})

{jQ}_{DSTATCOM} = V_{R . italicNEW} . I_{DSTATCOM}

V_{R . italicNEW} = V_{R . italicNEW} ∠ β

…”

Section: Modeling Of Pv Source and Dstatcommentioning

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

Lasmari

Settoul

et al. 2021

Int Trans Electr Energ Syst

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“…The portion of energy derived from renewable sources in the United Kingdom, for example, have risen significantly from 2009 to 2015 by 6.7% to 24.6% respectively [11]. Meanwhile, the best integration methods of renewable sources of electricity are still under investigation [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems

et al. 2020

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While the causes of power system outages are often complex and multi-faceted, an apparent deficit in generation compared to a known demand for electricity could be more alarming. A sudden hike in demand at any given time may ultimately result in the total failure of an electricity network. In this paper, algorithms to efficiently allocate the available generation is investigated. Dynamic programming based algorithms are developed to achieve this constraint by uniquely controlling home appliances to reduce the overall demands for electricity by the consumers on the grid in context. To achieve this, heuristic optimization method (HOM) based on the consumers' comfort and the benefits to the electricity utility is proposed. This is then validated by simulating microload management in generation constrained power systems. Three techniques; General Shedding (GS), Priority Based Shedding (PBS) and Excess Reuse Shedding (ERS) techniques were studied for effecting efficient microload shedding. The research is aimed at reducing the burden imposed on the consumers in a generation constrained power system by the traditional load shedding approach. Additionally, the reduction of the excess curtailment is a prime objective in this paper as it helps the utility companies to reduce wastage and ultimately reduce losses resulting from over shedding. Reducing the peak-to-average ratios (PAR) on the entire network in context as a critical factor in the determination of the efficiency of an electricity network is also investigated. In the long run, the PAR affects the price charged to the final consumer. Simulation results show the associated benefits that include effectiveness, deployability, and scalability of the proposed HOM to reduce these burdens. INDEX TERMS Demand-side management (DSM), microload management, smart grid, smart metering, optimization, peak-to-average ratio (PAR).

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“…Because of the increasing appeal of the utilisation of clean energy, large‐scale renewable energy sources (RESs) are being integrated into distribution networks [1–3]. Currently, the conventional distribution networks are gradually becoming active distribution networks (ADNs), which may supply surplus power to the transmission network when RESs are abundant.…”

Section: Introductionmentioning

confidence: 99%

“…However, the conventional equivalent technique of the passive distribution network is not appropriate for the ADNs anymore because the ADNs are characterised by the penetration of RESs, and the generation of RESs and loads is inherently stochastic [2, 3]. The modelling of renewable power generation is critical to the equivalence of ADNs.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic active distribution network equivalence with correlated uncertain injections for grid analysis

Huang

Zheng

2020

IET Renewable Power Generation

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Equivalent modelling for active distribution networks (ADNs) is essential for improving the efficiency of analysing transmission networks. Current equivalent modelling methods for ADNs neglect the probabilistic characteristics of renewable energy sources (RESs) and loads. To address this issue, this study proposes a probabilistic equivalent modelling method (PEMM) for ADNs considering the uncertainty of RESs and loads. The uncertainty of the RESs and loads is transferred to the equivalent boundary bus injection using the properties of cumulant and power transfer matrices. The PEMM is extended to incorporate the correlations of RESs through an orthogonal transformation. A sampling method using the Gaussian copula function is employed to generate the correlated samples and the joint cumulants, providing the input data for the PEMM. The comparative results of the case studies on two different test systems demonstrate the effectiveness of the PEMM. The equivalent model developed in this study is a practical solution for analysing the transmission network efficiently and taking the uncertainty of RESs and loads in the ADNs into account simultaneously.

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Multi‐objective optimisation‐based active distribution system planning with reconfiguration, intermittent RES, and DSTATCOM

Cited by 20 publications

References 32 publications

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

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

Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems

Probabilistic active distribution network equivalence with correlated uncertain injections for grid analysis

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