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

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

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...

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Bibliographic Details
Published in:International transactions on electrical energy systems Vol. 2022; pp. 1 - 14
Main Authors: Mortezayi, Reza, Rabiee, Abbas, Abdali, Ali
Format: Journal Article
Language:English
Published: Hoboken Hindawi 15-09-2022
Hindawi Limited
Subjects:
Alternative energy sources
Costs
Demand side management
Electricity
Electricity distribution
Energy balance
Energy costs
Energy management
Energy storage
Flexibility
Integer programming
Linear programming
Mixed integer
Operating costs
Photovoltaic cells
Photovoltaics
Power flow
Reactors
Renewable energy sources
Stochastic models
Stochastic programming
Uncertainty
Unit commitment
Wind farms
Wind power
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Summary: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.
ISSN:2050-7038
2050-7038
DOI:10.1155/2022/2029424