A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Security Assessment
TLDR
The proposed method expands the original PSO to handle a MINLP and determines an online VVC strategy with continuous and discrete control variables such as automatic voltage regulator operating values of generators, tap positions of on-load tap changer of transformers, and the number of reactive power compensation equipment.Abstract:
Summary form only given, as follows. This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The proposed method expands the original PSO to handle a MINLP and determines an online VVC strategy with continuous and discrete control variables such as automatic voltage regulator (AVR) operating values of generators, tap positions of on-load tap changer (OLTC) of transformers, and the number of reactive power compensation equipment. The method considers voltage security using a continuation power now and a contingency analysis technique. The feasibility of the proposed method is demonstrated and compared with reactive tabu search (RTS) and the enumeration method on practical power system models with promising results.read more
Citations
More filters
A Particle Swarm Optimisation Approach in the Construction of Optimal Risky Portfolios.
Graham Kendall,Yan Su +1 more
TL;DR: The particle swarm solver demonstrates high computational efficiency in constructing optimal risky portfolios of less than fifteen assets and the effectiveness of a weighting function in the particle swarm optimisation algorithm is studied.
Journal ArticleDOI
Optimal reactive power dispatch considering multi-type FACTS devices using harmony search algorithms
D. Karthikaikannan,G. Ravi +1 more
TL;DR: Two versions of harmony search algorithm are applied to solve conventional ORPD, as well as ORPD considering FACTS devices, and comparison of simulation results reveals the effectiveness of proposed algorithms over other well-established population-based optimization techniques.
Journal ArticleDOI
Voltage and Reactive Power Control Taking into Account of Economy and Security by using Tabu Search
TL;DR: In this article, the authors proposed the optimization of voltage and reactive power (Q) control (VQC) with Tabu Search (TS) algorithm taking into account of both economy and security, where the security is considered as the minimization of generator reactive outputs and transformer tap positions difference from the neutral.
Book ChapterDOI
An Improved Particle Swarm Optimization for Traveling Salesman Problem
Xinmei Liu,Jinrong Su,Yan Han +2 more
TL;DR: An improved particle swarm optimization algorithm that can break away from local minimum earlier and it has high convergence speed and convergence ratio is proposed.
Journal ArticleDOI
Seismic design of water distribution networks using auto-generation techniques
TL;DR: In this article, a feasible approach that uses an auto-generation technique is proposed to design and retrofit water distribution networks (WDNs) subjected to earthquakes, where pipelines are laid along roads, the road information is extracted and then integrated into the auto-generative technique whereby the rules relevant to laying the pipelines are established.
References
More filters
Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Proceedings ArticleDOI
A modified particle swarm optimizer
Yuhui Shi,Russell C. Eberhart +1 more
TL;DR: A new parameter, called inertia weight, is introduced into the original particle swarm optimizer, which resembles a school of flying birds since it adjusts its flying according to its own flying experience and its companions' flying experience.
Journal ArticleDOI
Look-ahead voltage and load margin contingency selection functions for large-scale power systems
TL;DR: In this article, the authors present a load margin measure (MW and/or MVAr) to assess the system's ability to withstand the forecasted load and generation variations, and also present a method to predict near-term system voltage profiles.
Journal ArticleDOI
Discrete shunt controls in a Newton optimal power flow
TL;DR: A penalty-based discretization algorithm is proposed that consistently provides a near-optimal discrete solution for shunt controls without combinatorial search.