A vulnerability-constrained quad-level model for coordination of generation and transmission expansion planning under seismic- and terrorist-induced events

Shivaie, Mojtaba; Kiani-Moghaddam, Mohammad; Weinsier, Philip D.

doi:10.1016/j.ijepes.2020.105958

Cited by 18 publications

(5 citation statements)

References 34 publications

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“…Ref. [26] investigates integrated generation and transmission deployment. The model examines the vulnerability of the rich WF-based grid against natural events and terroristic activities.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Besides, reactive power, network losses, and voltage deviation variables are disregarded in DC power flows, leading to a significant computational error of the problem. On the other hand, a few papers [22,[25][26][27] have used the AC power flow model, making the model nonlinear [25][26][27].…”

Section: Contributionsmentioning

confidence: 99%

“…Solving the bi‐level problem needs to be converted into a single‐level model, requiring the convexity of the lower‐level model [25]. Since the AC power flow model is nonlinear and nonconvex [26], the linearized model should be extracted. To do this, the circular limit of transmission lines capacity is approximated to a regular polygon plane, where the first‐order Taylor series is leveraged to linearize the AC power flow equations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Planning and Bidding Strategy for Wind Farms in Joint Balancing and Day‐Ahead Energy Markets

Toolabi

Sarani

Rezaie

et al. 2022

IET Renewable Power Gen

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Due to the fact that wind farms have a meagre operating cost, it is expected that their optimum utilization in the transmission network would improve the economic and technical condition of the network. Henceforth, this work aims to allocate wind farms' locations in the transmission network while persuading the farm owners to participate in the balancing and day‐ahead energy markets. The proposed scheme is formulated in the form of a bi‐level optimization model. The upper‐level problem aims to maximize wind farms' profit in joint day‐ahead and balancing markets bounded by the location and operational constraints. On the other hand, the lower‐level problem provides the operating model of the transmission network. Herein, the network operator is in authority to minimize the operational cost of non‐renewable resources, considering the linearized AC power flow and technical constraints of resources. Then, the Karush—Kuhn–Tucker is adopted to extract the proposed scheme single‐level model. One of the eminent novelties of this work is to propose a linear model for wind farms and to introduce an incentive plan for farm owners in the energy market by considering bidding errors. In the end, by implementing this scheme on IEEE 6‐bus and 24‐bus transmission networks, the numerical outcomes indicate the proposed scheme's potential to improve the economic and operational status of wind farms and the transmission network. With linear programming based on optimum utilization of wind farms, the utilization of traditional units, energy prices, energy plans, and the maximum voltage drop are reduced by 35%, 15%, 20%, and 21%, respectively, compared to the cases without wind farms penetrations.

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“…Ref. [26] investigates integrated generation and transmission deployment. The model examines the vulnerability of the rich WF-based grid against natural events and terroristic activities.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Planning and Bidding Strategy for Wind Farms in Joint Balancing and Day‐Ahead Energy Markets

Toolabi

Sarani

Rezaie

et al. 2022

IET Renewable Power Gen

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“…Moreover, the suggested model considers the loss of load expectation (LOLE). e authors in [10] discuss the GTEP problem subject to the vulnerability of the system in case of terrorist attacks and earthquakes. By doing this, the system will be reliable and safe for future operations.…”

Section: Introductionmentioning

confidence: 99%

Robust Allocation of FACTS Devices in Coordinated Transmission and Generation Expansion Planning considering Renewable Resources and Demand Response Programs

Rashid

Akbari

Khalafian

et al. 2022

International Transactions on Electrical Energy Systems

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Nowadays, the use of demand response programs (DRPs) in a variety of long-term and short-term planning problems has been explored. In this paper, a generation and transmission expansion planning (GTEP) model along with FACTS device allocation is presented. Furthermore, demand response programs are taken into account for more load flexibility. The proposed model is presented as a multi-objective minimizing problem considering emission, cost, and voltage security index. Furthermore, the conventional Pareto optimization is adopted using fuzzy weighted sum method (FWSM) to achieve a single-objective model. The final problem is constrained by equations of alternative current power flow, operation and voltage security limits, planning model of shunt FACTS devices, and operation of the DRP. Adaptive robust optimization (ARO) is used to reach suitable models for the active power of renewable resources and power consumption. As a main search algorithm, a hybrid combination of water cycle algorithm (WCA) and ant lion optimization (ALO) is proposed to find the optimum solution with a small standard deviation. The problem is tested on different standard IEEE systems, and the results validate the operation and network security improvement due to optimal location of FACTS devices. According to the results, the economic and environmental status of the network has also improved.

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“…In [23], a resilience‐based tri‐level framework is presented for transmission and substation expansion planning (T&SEP), considering extreme weather‐related events by scenarios. In [24], a multi‐period scenario‐based model is proposed for coordinated GTEP to control the effects of seismic‐ and terrorist‐induced events. The last two references benefit from Transmission switching devices and reach sub‐optimal answers.…”

Section: Introductionmentioning

confidence: 99%

A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

Firoozjaee

Sheikh‐El‐Eslami

2022

IET Generation Trans & Dist

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This paper presents a two‐stage resilient framework for generation and transmission expansion planning that profits static and dynamic models. The first stage problem finds the generation and transmission expansion results without considering extreme events. Given the planned power system, in the second stage, a simulation‐based method is employed to accurately model the effects of the severe events and measure the expected demand not served. The proposed framework updates the formulation of the planning problem to efficiently search for a new expansion plan resulting in higher resilience levels. This paper uses the maximizing social welfare in the planning model to find the optimal result. Also, the effect of maximizing social welfare in updating the formulation of the planning problem is investigated. In this case, the planning problem is a bi‐level problem that using the primal‐dual formulation leads to a single‐level problem called a mathematical program with equilibrium constraints. After the linearization, the planning problem becomes a mixed‐integer linear programming problem. The planning model profits from reinforced transmission lines to improve power system resilience. The proposed framework is evaluated on 4‐bus, 6‐bus, and 118‐bus systems. According to the results, the proposed method with a low additional cost boosts power system resilience.

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A vulnerability-constrained quad-level model for coordination of generation and transmission expansion planning under seismic- and terrorist-induced events

Cited by 18 publications

References 34 publications

Optimal Planning and Bidding Strategy for Wind Farms in Joint Balancing and Day‐Ahead Energy Markets

Optimal Planning and Bidding Strategy for Wind Farms in Joint Balancing and Day‐Ahead Energy Markets

Robust Allocation of FACTS Devices in Coordinated Transmission and Generation Expansion Planning considering Renewable Resources and Demand Response Programs

A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning

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