Power System Dynamics with Computer‐Based Modeling and Analysis

Hase, Yoshihide; all, et

doi:10.1002/9781119487470

Cited by 9 publications

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“…The variation of real power, (P) and reactive power, (Q) taken by a load with the variation of the voltage is important when representing the load for power flow and stability studies. For system studies, usually the load on a substation is considered, and this load is of a composite nature consisting of industrial, commercial, and domestic consumers [20]. The dynamic load being considered here can vary between 1% to 100%, however, for this particular modelling, the variations is assumed to be between 30% to 90%.…”

Section: The Electrical Load Modellingmentioning

confidence: 99%

Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads

Attachie¹,

Amuzuvi²,

Diamenu³

2021

EJEE

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As a result of dwindling fossil fuel reserves and the negative impact of greenhouse gases (GHGs) on the environment, it is important that the search for a power grid that will comprise of only variable renewable energy (VRE) generation sources such as wind or solar energy which is available everywhere for free is given much attention. The main challenge associated with these sources of energy is their variability and random nature. It is as a result of instability introduced by the VRE generation sources, that is why there is a strict control measures put in place by the regulators as to how much VRE generation sources can feed into the power grid in the case of its integration into an existing power grid. It becomes imperative to consider implications for grid stability and reliability when considering a power grid that will consist of VRE generation only. Eigenvalue approach was used to analysed the performance of anticipated large-scale VRE grid to ascertain its behaviour. Eigenvalue approach is one of the methods to examine the stability of a power system’s dynamic performance. The results indicated that it is possible to attain the necessary stability provided the assumptions made during the modelling stage is revised to improve upon the model.

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Section: The Electrical Load Modellingmentioning

confidence: 99%

Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads

Attachie¹,

Amuzuvi²,

Diamenu³

2021

EJEE

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“…The original branch model with grounding resistances is shown in Figure 1 [3,6,15,16], where S is load (VA); R G is grounding resistance (Ω); V is voltage (V); I is current (A); z is the impedance in the branch model (Ω); i and j are any node in the LVDS; and {A, B, C, N, G} is the set of phases in the branch model. From Figure 1, the branch equation can be written in two forms, as shown in Equations ( 1) and (2), in which direction is different, where z pq ij = z pq ji following [3,6,15,16]; p, q ∈ {A, B, C, N, G}. The calculations of grounding resistance and branch impedances and the branch model simplified by using Kron's reduction are described in Sections 2.1-2.3, respectively.…”

Section: The Simplified Branch Model and Its Disadvantagementioning

confidence: 99%

“…From Equation (1), when the voltages of neutral and ground conductors are simply defined as zero, Kron's reduction can be used, and then Equation ( 1) is simplified into Equation (9) [16], where z rs ij is the result of using Kron's reduction; r, s ∈ {A, B, C}.…”

Section: The Branch Model Simplified By Using Kron's Reductionmentioning

confidence: 99%

“…Initially, the ground current equation (𝐼 𝑖𝑗 𝐺 ) must be solved to reduce the original branch model into a 4 × 4 matrix in Section 4.2. Using matrix inversion for Equations ( 1) and ( 2), the following equations can be obtained, where 𝑦 𝑖𝑗 𝑝𝑞 = 𝑦 𝑗𝑖 𝑝𝑞 according to [3,6,16]; LF equations will be clarified in Section 3.3. The LF result from the NR method is in the form of phase-to-neutral voltage.…”

Section: Finding Ground Current Equationmentioning

confidence: 99%

“…Initially, the ground current equation (I G ij ) must be solved to reduce the original branch model into a 4 × 4 matrix in Section 4.2. Using matrix inversion for Equations ( 1) and ( 2), the following equations can be obtained, where y pq ij = y pq ji according to [3,6,16]; p, q ∈ {A, B, C, N, G}.…”

Section: Finding Ground Current Equationmentioning

confidence: 99%

See 2 more Smart Citations

A Modification of Newton–Raphson Power Flow for Using in LV Distribution System

Chanhome

Chaitusaney

2021

Energies

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The Newton–Raphson (NR) method is still frequently applied for computing load flow (LF) due to its precision and quadratic convergence properties. To compute LF in a low voltage distribution system (LVDS) with unbalanced topologies, each branch model in the LVDS can be simplified by defining the neutral and ground voltages as zero and then using Kron’s reduction to transform into a 3 × 3 branch matrix, but this decreases accuracy. Therefore, this paper proposes a modified branch model that is also reduced into a 3 × 3 matrix but is derived from the impedances of the phase-A, -B, -C, neutral, and ground conductors together with the grounding resistances, thereby increasing the accuracy. Moreover, this paper proposes improved LF equations for unbalanced LVDS with both PQ and PV nodes. The improved LF equations are based on the polar-form power injection approach. The simulation results show the effectiveness of the modified branch model and the improved LF equations.

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Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration

Cikan

Kekezoğlu

2022

Alexandria Engineering Journal

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Power System Dynamics with Computer‐Based Modeling and Analysis

Cited by 9 publications

References 0 publications

Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads

Stochastic Modelling and Stability Analysis of Large-Scale Wind Power Generation System with Dynamic Loads

A Modification of Newton–Raphson Power Flow for Using in LV Distribution System

Comparison of metaheuristic optimization techniques including Equilibrium optimizer algorithm in power distribution network reconfiguration

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