Computation of the zero-wire current under an asymmetric nonlinear load in a distribution network

Dzhuraev, Shokhin D.; Beryozkina, Svetlana; Kamolov, Mukhammadzhon M.; Safaraliev, Murodbek; Zicmane, Inga; Nazirov, Khurshed; Sultonov, Sherkhon M.

doi:10.1016/j.egyr.2022.09.176

Cited by 12 publications

(4 citation statements)

References 18 publications

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“…The mathematical model includes equations and variables [ [121] , [122] , [123] , [124] , [125] , [126] , [127] , [128] ]. Equations are in as non-linear and linear format [ [129] , [130] , [131] , [132] , [133] , [134] , [135] , [136] ]. Variables are as integer, binary and continuous [ [137] , [138] , [139] , [140] , [141] , [142] , [143] , [144] , [145] ].…”

Section: Problem Formulationmentioning

confidence: 99%

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

Weiwei,

Shaohui,

Sabzevari

2024

Heliyon

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Section: Problem Formulationmentioning

confidence: 99%

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

Weiwei,

Shaohui,

Sabzevari

2024

Heliyon

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“…Equality and inequality are defined as limitations [84][85][86][87][88]. The limitations apply to models that are mixed integer linear, mixed integer non-linear, linear, or non-linear [89][90][91][92][93][94].…”

Section:  mentioning

confidence: 99%

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Zadehbagheri,

Pirouzi,

Dehghan

et al. 2024

Preprint

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The placement and scale of virtual power plants (VPPs) in distribution networks are the only topics covered in this article that pertain to the resilience of the grid to severe weather. This problem is framed as a two-objective optimization, where the predicted energy that the network would not deliver in the case of an earthquake or flood, and the annual planning cost of the VPP, are the two objective functions to be reduced. The constraints include the formula for VPP planning, limitations on network operation and resilience, and equations for AC power flow. Uncertainties about demand, renewable power, energy prices, and the supply of network hardware and VPP components are all taken into account in stochastic programming. The proposed technique achieves a single-objective formulation in the subsequent stage by the use of a Pareto optimization strategy based on the ε-constraint method. This article uses a solver based on a hybrid of Crow search algorithm (CSA) and sine cosine algorithm (SCA) to achieve the trustworthy optimal solution with lowest dispersion in the final response. In order to tackle the problem, the proposed system looks at how the VPP affects network resilience, scales it, and combines it with the hybrid evolutionary algorithm. In the end, the numerical findings verify that the optimal placement and dimensions of VPPs help to improve the operational, financial, and resilience status of the distribution network by applying the proposed problem to a 69-bus distribution network.

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“…It expresses as single or multi-objective function [72][73]. Optimization problem includes the different constraints [74][75][76][77][78][79][80]. Constraints are as equality and inequality formulation [81][82][83][84][85][86][87].…”

Section: Vpp Constraintsmentioning

confidence: 99%

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Pirouzi

2023

IET Generation Trans & Dist

113

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Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy storage systems and a demand response program is discussed in the present study. The introduced strategy is realized at the electrical power transmission level and takes into account the collaboration between VPPs in day‐ahead energy and reserve markets. One notable feature of the proposed strategy is attempting to make the revenue of VPPs close to the operating cost of generating units as much as possible. The objective function is subjected to the network‐constrained unit commitment model, up and down reserve requirements and the proposed VPP constraints. This method is taking into account the uncertainty in system and VPP loads, day‐ahead market energy and reserve price and WF power generation. This strategy is applied as hybrid stochastic‐robust scheduling to the VPP at the electrical power transmission level, where the scenario‐based stochastic programming models the uncertainty of day‐ahead market prices, and the bounded uncertainty‐based robust optimization has been adopted to model the uncertainties related to the load and WF power. Scheme has been tested on IEEE systems. According to the obtained results, the proposed coordination of VPPs in the mentioned markets demonstrates capability of suggested strategy.

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Computation of the zero-wire current under an asymmetric nonlinear load in a distribution network

Cited by 12 publications

References 18 publications

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

Resiliency-Constrained Placement and Sizing of Virtual Power Plants in the Distribution Network Considering Extreme Weather Events

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

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