A scenario-based voltage stability constrained planning model for integration of large-scale wind farms

Gholizadeh, Amirreza; Rabiee, Abbas; Fadaeinedjad, Roohollah

doi:10.1016/j.ijepes.2018.09.002

Cited by 15 publications

(4 citation statements)

References 23 publications

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“…In [13], a general classification for types of demand side management was proposed. In [14], a scenario-based planning model was proposed for large-scale wind farms by considering voltage stability issues, using a project management approach. A method for managing the demand response energy of microgrid using a chaotic search PSO algorithm has been proposed in [15] which increases the profitability of DGs.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

et al. 2021

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In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional power generation as well as boiler units, fuel cells, CHPs, wind turbines, solar PVs, heat storage units, and battery energy storage systems (BESS) as the set of distributed energy resources (DERs). Additionally, a demand response program (DRP) model is considered which has a successful performance in the microgrid hourly scheduling. One of the goals of CHP-based microgrid scheduling is to provide both thermal and electrical energy demands of the consumers. Additionally, the other objective is to benefit from the revenues obtained by selling the surplus electricity to the main grid during the high energy price intervals or purchasing it from the grid when the price of electricity is low at the electric market. Hence, in this paper, a robust scheduling approach is developed with the aim of maximizing the total profit of different energy suppliers in the entire scheduling horizon. The employed IGDT technique aims to handle the impact of uncertainties in the power output of wind and solar PV units on the overall profit.

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Section: Literature Reviewmentioning

confidence: 99%

Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

et al. 2021

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“…The stability of small signals is important in planning large-scale wind farm connections [39], but the state matrix dimensions of these networks are hundreds of times as large. In [40], a two-stage scenario-based planning model was developed for large-scale wind farms, and the Modified Crow Search Algorithm (MCSA) was used for long-term wind farm TABLE 4 Comparison of the proposed method (DATC-DE) accuracy across 6 networks with 24 types of transaction with the root mean square error (RMSE), 1-39-bus IEEE system [34], 2-118-bus IEEE system [34], 3-300-bus IEEE system [34], 4-145-bus Iowa State system [18], 5-The west of Iran (1153 buses), 6 planning. Wind energy technology has matured, but further testing is needed so that wind turbines greater than 15 MW can be installed.…”

Section: Wind and Wind Farms In Iranmentioning

confidence: 99%

“…The stability of small signals is important in planning large‐scale wind farm connections [39], but the state matrix dimensions of these networks are hundreds of times as large. In [40], a two‐stage scenario‐based planning model was developed for large‐scale wind farms, and the Modified Crow Search Algorithm (MCSA) was used for long‐term wind farm planning. Wind energy technology has matured, but further testing is needed so that wind turbines greater than 15 MW can be installed.…”

Section: Wind and Wind Farms In Iranmentioning

confidence: 99%

An efficient differential equation load flow method to assess dynamic available transfer capability with wind farms

Eidiani

2021

IET Renewable Power Gen

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Differential equation load flow (DELF) is an innovative approach to convert a load flow model to a fictitious dynamic system. DELF solves the entire time‐domain analysis of a dynamic system trajectory rather than solving load flow equations repeatedly in a set of conditions. The static available transfer capability (ATC) determination algorithm is specified through a method called the approximation of the path of the minimum distance method. In this method, instead of a repeated power flow, only three system operating points are used. An estimation of the potential energy boundary surface was also employed to determine the transient stability in an attempt to correct previous methods. A combination of static method and transient stability led to a combined approach to dynamic ATC computation. This paper proposes a truly effective and precise method to assess Dynamic ATC using the differential equation load flow considering the first contingency (n − 1) situations and the intact system condition. For various multilateral and bilateral transactions, this method was successfully implemented on 39, 118‐ and 300‐bus IEEE, 145‐bus Iowa‐State, the west of Iran (1153‐bus), and Mashhad MV distribution network (4438‐buses) systems. The results showed a better suitability, a higher speed and accuracy than other dynamic ATC methods.

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“…The challenge of integrating large amount of PV and wind power generation into the electric power system is related to its non-dispatchable nature. It has been identified that it could compromise the stability of the system [4,5]. So, providing grid support functions is required for the proper operation of the power grids.…”

Section: Introductionmentioning

confidence: 99%

Optimal feeder flow control for grid connected microgrids

Aragüés‐Peñalba

Prieto‐Araujo

Bullich‐Massagué

et al. 2019

International Journal of Electrical Power & Energy Systems

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The optimal management of distributed energy resources is one of the existing challenges for the deployment of microgrids. When microgrids operate under feeder flow control mode, trying to maintain a constant selfconsumption, generators adapt their output power to compensate load and non-dispatchable generation variations. So, due to the uncertainty, finding the optimal operation point is an important task that can become complex. This paper proposes an optimal power flow problem formulation for feeder flow controlled microgrids. It is formulated as a mixed integer second order cone program considering the optimal power flow equations in its relaxed form and uncertainty by means of stochastic formulation. In addition, an algorithm is developed in order to find a feasible optimum solution of the original non-relaxed problem. The proposed algorithm can also be used in other optimal power flow problems with the condition that they must use the same relaxation. The algorithm is validated through the IEEE 33-Bus distribution test system.

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A scenario-based voltage stability constrained planning model for integration of large-scale wind farms

Cited by 15 publications

References 23 publications

Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

An efficient differential equation load flow method to assess dynamic available transfer capability with wind farms

Optimal feeder flow control for grid connected microgrids

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