A Long-term Reactive Power Planning Framework for Transmission Grids with High Shares of Variable Renewable Generation

Savvopoulos, Nikolaos; Evrenosoğlu, Cansin Yaman; Marinakis, Adamantios; Oudalov, Alexandre; Hatziargyriou, Nikos D.

doi:10.1109/ptc.2019.8810680

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…where the cost of static var devices is assumed proportional with the device size , as ( 2)-( 3). Further, based on vendor data, the cost coefficients of the FACTS devices can be represented by a polynomial function of Q max f according to [8,12], and hence, the total investment cost functions for FACTS devices can be defined as (4).…”

Section: Mathematical Formulation Of Var Planning Problemmentioning

confidence: 99%

“…Furthermore, none of them has evaluated the reactive power reserves during the energy transition to identify the occurrence of RPRs scarcity as a basis to determine key aspects of var planning problem such as the timing and location of new reactive power sources as well as a multi-period stochastic framework. In [8], the authors have tried to identify the location and size of reactive power sources considering a set of operation uncertainty scenarios and critical contingencies. However, there is no systematic way to spot the location of new var sources.…”

Section: Introductionmentioning

confidence: 99%

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Re-thinking var planning to mitigate reactive power reserves scarcity during the energy transition

et al. 2023

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The progressive replacement of conventional fossil-fueled power plants by renewable energy sources (RES) during the energy transition to renewable-dominated power supply leads to reactive power reserves (RPRs) scarcity, compromising thereby power systems security. This paper envisages the next step after having identified RPRs' scarcity with a methodology proposed previously by the authors. This paper re-thinks reactive power (or var) planning in the new context of mitigating RPRs' scarcity. g , Q t,s,k g Active and reactive power generation of generators at nodes

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Section: Mathematical Formulation Of Var Planning Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Re-thinking var planning to mitigate reactive power reserves scarcity during the energy transition

et al. 2023

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“…The relevance of effective reactive power planning has become even more pronounced in recent years, due to the need to account for the impact of the growing share of variable renewable generation such as wind and photovoltaic power generation on reactive power compensation. A multi-period, multi-scenario corrective security-constrained OPF has been explored in [32] as a way of dealing with increasing penetration of variable renewable generation. Reference [33] has proposed a probabilistic multi-objective reactive power planning framework that considers large-scale wind generation integration.…”

Section: Introductionmentioning

confidence: 99%

Volt/VAR Optimization: A Survey of Classical and Heuristic Optimization Methods

2022

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Reactive power optimization and voltage control is one of the most critical components of power system operation, impacting both the economy and security of system operation. It is also one of the most complex optimization problems, being highly nonlinear, and comprising both continuous and discrete decision variables. This paper presents the problem formulation, and a thorough literature review and detailed discussion of the various solution methods that have been applied to the Volt/VAR optimization problem. Each optimization method is described in detail, and its strengths and shortcomings are outlined.The review provides detailed information on classical and heuristic methods that have been applied to the Volt/VAR optimization problem. The classical methods reviewed include (i) first-and second-order gradient-based methods, (ii) Quadratic Programming, (iii) Linear Programming, (iv) Interior-Point Methods, (iv) and mixed-integer programming and decomposition methods. The heuristic methods covered include (i) Genetic Algorithm, (ii) Evolutionary Programming, (iii) Particle Swarm Optimization, (iv) Fuzzy Set Theory, and (v) Expert Systems. A comparative analysis of the key characteristics of the classical and heuristic optimization methods is also presented along with the review.

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Optimal Placement of PV Smart Inverters With Volt-VAr Control in Electric Distribution Systems

Chen

Soltani

et al. 2023

IEEE Systems Journal

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A Long-term Reactive Power Planning Framework for Transmission Grids with High Shares of Variable Renewable Generation

Cited by 4 publications

References 19 publications

Re-thinking var planning to mitigate reactive power reserves scarcity during the energy transition

Re-thinking var planning to mitigate reactive power reserves scarcity during the energy transition

Volt/VAR Optimization: A Survey of Classical and Heuristic Optimization Methods

Optimal Placement of PV Smart Inverters With Volt-VAr Control in Electric Distribution Systems

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