Controllable transmission networks under demand uncertainty with modular FACTS

Soroudi, Alireza

doi:10.1016/j.ijepes.2021.106978

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…For example, the study by Sanjari and Karami (2020) has suggested using integrated battery storage to regulate the energy resource scheduling under uncertain deviation of loads. The uncertainty of demand not only affects the distribution sectors but also has a potential impact on developing the transmission lines as explained by Soroudi (2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal active load scheduling in a day-ahead energy market with uncertainty in demand

Alqunun¹

2023

Int. j. adv. appl. sci.

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The existing power loads are continuously increasing and leading to various challenges related to economics and systems constraints. Any uncontrolled fluctuations of the demand over consecutive hours would dramatically complicate the correct management of the power generation. Therefore, this paper provides an effective solution for managing the uncertainty in loads and providing optimal scheduling of the power generation based on active load optimization in the day-ahead energy market. The proposed optimization model relies on operating active loads to encounter any unexpected change in the load pattern with taken into consideration the characteristics of these loads. The objective of the optimization model is to procure the lowest energy bill by reducing operational costs by taking into account the compensation cost in case of operating the active loads. The optimized problem is solved using mixed-integer linear programming through two technical stages. The first stage handles the normal operation of generation and passive demand, while the second stage treats all the uncertainty in stochastic scenarios. The active loads are operated under specific constraints such as the instantaneous min/max amount and the min/max duration over 24-h period of time. Case studies are used to demonstrate the effectiveness of implementing active loads.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal active load scheduling in a day-ahead energy market with uncertainty in demand

Alqunun¹

2023

Int. j. adv. appl. sci.

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“…e economic model of DR is defined in (13). is model is used to evaluate the impact of consumer participation in DR on the load profile.…”

Section: Objective Functionsmentioning

confidence: 99%

Boosting Transmission System Flexibility in Network-Constrained Unit Commitment by Incorporating Distributed Series Reactors

Mortezayi

Rabiee

Abdali

2022

International Transactions on Electrical Energy Systems

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In the recent decade, renewable energy sources (RES) such as wind and photovoltaic (PV) power generations gained more attention. However, despite their proven role in the reduction of operating costs of the network, their integration has some serious challenges such as the inherent uncertainties and the energy balance at the power grid. Some options to face these challenges, as well as to enhance the network’s flexibility, are demand response (DR), distributed FACTS (D-FACTS) devices, and energy storage systems (ESS). This paper focuses on the solution of the unit commitment (UC) problem in such a way that in addition to increasing the transmission network’s flexibility, the operation cost of the network decreases. To do this, distributed series reactors (DSRs) are employed as promising D-FACTS devices to enhance the transmission network’s flexibility. The uncertainty of RES is handled by the scenario-based stochastic programming technique. A mixed-integer linear programming (MILP) approach is developed, with a guaranteed global optimal solution, by developing a convex model for power flow in the presence of DSRs. The proposed UC model is implemented on the IEEE RTS 24-bus system, and the obtained results in different cases show the ability of the abovementioned flexibilities to reduce the operation cost of the network.

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“…These problems can affect the system's stability and may lead to failure. To overcome these disturbances and ameliorate the power quality [9], flexible alternating current transmission system (FACTS) ISSN: 2088-8694  devices are often used [10], [11]. The FACTS can be introduced in the power system network to increase the power transfer capability of the transmission line and to ameliorate the voltage stability [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Wind farm connected to a grid using fuzzy logic controller based the unified power flow controller

Tarik

Brouri

2022

IJPEDS

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<span lang="EN-GB">The doubly-fed induction generator (DFIG) based wind farm is widely used for extracting energy from the wind. When the wind farm is connected to the grid, generally it causes some perturbations. It can disturb the function of the grid and the installations connected to the grid. This impact concerns the load flow, voltage drops, and frequency fluctuations. To overcome those issues, the unified power flow controller (UPFC) is recommended. In this paper, we propose to study the impact of the integration of a wind farm on the power system. Presently, we propose an original contribution by using UPFC based on fuzzy logic controllers (FLC). Finally, simulation and experimental results using MATLAB/Simulink are proposed to show the effectiveness of this solution. </span>

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Controllable transmission networks under demand uncertainty with modular FACTS

Cited by 9 publications

References 30 publications

Optimal active load scheduling in a day-ahead energy market with uncertainty in demand

Optimal active load scheduling in a day-ahead energy market with uncertainty in demand

Boosting Transmission System Flexibility in Network-Constrained Unit Commitment by Incorporating Distributed Series Reactors

Wind farm connected to a grid using fuzzy logic controller based the unified power flow controller

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