This paper deals with the problem of optimal placement and sizing distribution static compensators (D-STATCOM) in electrical networks to reduce total annual operative costs associated energy losses added investment D-STATCOM. The metaheuristic sine-cosine optimization algorithm determines nodes location sizes A discrete-continuous codification represents decision variables, where discrete part is entrusted best candidate selection. continuous assigned Numerical results IEEE 33- 69-bus...

Microgrids are a part of the power system that consists one or more units distributed generation and expected to remain in operation after being disconnected from system. Since they rely on overlying networks, frequency control is very important for network-independent operation. Some most common problems independently operating microgrids sustainability its fluctuations. The main purpose this study microgrid island mode different scenarios. objective function defined based time changes...

This paper deals with the problem of optimal placement and sizing distributed generators (DGs) in alternating current (AC) distribution networks by proposing a hybrid master–slave optimization procedure. In master stage, discrete version sine–cosine algorithm (SCA) determines location DGs, i.e., nodes where these must be located, using an integer codification. slave DGs is solved through implementation second-order cone programming (SOCP) equivalent model to obtain solutions for resulting...

The problem associated with economic dispatch of battery energy storage systems (BESSs) in alternating current (AC) distribution networks is addressed this paper through convex optimization. exact nonlinear programming model that represents the transformed into a second-order cone (SOCP) model, thereby guaranteeing global optimal solution-finding due to conic (i.e., convex) structure solution space. proposed BESS considers possibility injecting/absorbing active and reactive power, turn,...

This paper addresses the phase-balancing problem in three-phase power grids with radial configuration from perspective of master–slave optimization. The master stage corresponds to an improved version Chu and Beasley genetic algorithm, which is based on multi-point mutation operator generation solutions using a Gaussian normal distribution exploration exploitation schemes vortex search algorithm. entrusted determining phases by integer codification. In slave stage, flow for imbalanced...

This paper deals with a classical problem in power system analysis regarding the optimal location and sizing of distributed generators (DGs) direct current (DC) distribution networks using mathematical optimization. optimization is divided into two sub-problems as follows: DGs problem, those binary structure being first sub-problem; nonlinear programming (NLP) second sub-problem. These problems originate from general mixed-integer model (MINLP), which corresponds to an NP-hard problem. It...

This paper presents a comparative analysis of six different iterative power flow methods applied to AC distribution networks, which have been recently reported in the scientific literature. These are (i) successive approximations, (ii) matricial backward/forward method, (iii) triangular-based approach, (iv) product linearization (v) hyperbolic and (vi) diagonal approximation method. The first three last one formulated without recurring derivatives, they can be directly complex domain; fourth...

The problem regarding the reconfiguration of electrical distribution grids is addressed in this research through implementation a practical solution using constructive heuristic algorithm. most important characteristic proposed approach its low-computation effort, given that few power flow solutions are required order to solve problem. algorithm starts exploration space by closing all tie lines form fully meshed network. line with minimum current permanently opened. A new evaluation made for...

Phase balancing is a highly complex problem that consists of minimizing power losses by swapping generation and loads along distribution feeder. Being discrete nonlinear problem, its solution usually subject to the use heuristic methods such as Genetic Algorithms or Particle Swarm Optimization. However, representation feasible space challenging for conventional approaches. This paper proposes algorithm which based on group-theory, an algebraic modeling allows compact efficient space. The...

En este artículo se presenta una metodología para la estimación de parámetros en transformadores distribuciónconsiderando medidas tensión y corriente mediante un modelo matemático programación no lineal (PNL).Este es desarrollado a través aplicación las leyes Kirchhoff al del circuitoequivalente transformador. Para resolver el PNL resultante emplea sistema modelado algebraicogeneral conocido como GAMS. La optimización propuesta desarrolla manera tutorial conun ejemplo implementación cual...

This paper addresses the optimal location and sizing of photovoltaic (PV) sources in isolated direct current (DC) electrical networks, considering time-varying load renewable generation curves. The mathematical formulation this problem corresponds to mixed-integer nonlinear programming (MINLP), which is reformulated via convex optimization: ensures global optimum solving resulting optimization model branch & bound interior-point methods. main idea including PV DC grid minimize daily...

This paper proposes a mixed-integer convex model for optimal load-balancing in bipolar DC networks while considering multiple constant power terminals. The proposed combines the Branch and Cut method with interior point optimization to solve problem of load balancing networks. Additionally, guarantees that global optimum is found, which ensures minimal losses distribution grid branches, as total monopolar consumption has been balanced at substation's In addition, an improves voltage profiles...

A Possible Classification for Metaheuristic Optimization Algorithms in Engineering and Science

Time-delay is inherent to communications schemes in power systems, and a closed loop strategy the presence of latencies increases inter-area oscillations security problems tie-lines. Recently, Wide Area Measurement Systems (WAMS) have been introduced improve observability overcome slow-rate from traditional Supervisory Control Data Acquisition (SCADA). However, there need for tackling time-delays control strategies based WAMS. For this purpose, paper proposes an Enhanced Time Delay...

In this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent parametric estimation problem. This mathematical developed applying Kirchhoff’s laws equivalent electric circuit of transformer. To solve NLP employed sine-cosine algorithm, which corresponds methodology from family metaheuristics that has...

Context: The use of capacitor banks is the most common and preferred solution for reducing power loss in electrical distribution networks, given their cost-effectiveness low maintenance requirements. However, achieving optimal integration terms location size a challenging problem. Method: This paper proposes stochastic mixed-integer convex model based on branch flow optimization model, which incorporates three different load-generation conditions, order to address nature systems.Results:...

Objective: In this paper, is present a hybrid optimization methodology for the optimal location and sizing of distributed generators (DGs) in electrical distribution networks. We propose mixed-integer nonlinear problem (MINLP) model mathematical formulation, whose objective function minimization power losses due to Joule effect conductors. The constraints we considered include active reactive balance, voltage regulation, percentage penetration DGs into network, total allowed such...

The present work proposes a multiobjective approach to solve the transmission expansion planning problem when investment costs and N-1 contingency criteria are considered. Given that both cost security conflicting objectives, NSGA-II algorithm is used as evolutionary optimization technique obtain set of Pareto optimal plans. operative subproblem solved with high order interior point method for linear programming. methodology validated 6-bus Garver IEEE 24-Bus systems, results show...

In case of an error in the power system, it is duty protection relays to isolate faulty part from rest system as soon possible. Overcurrent and distance are usually used protect transmission super distribution systems. The optimum coordination these very important. this article, communication links improve optimal overcurrent relays. proposed plan, on both sides line equipped with a link for immediate action event error. Using link, complete coverage also provided by number place...

When a power system is exposed to major disturbance, the exhibits tendency towards poorly damped oscillations which may cause loss of synchronism; in consequence, control actions, must deal with presence delays monitoring and signals, have be performed avoid an instability system. This paper presents application nonlinear strategy for damping delayed single-machine infinite-bus The achieved by acting over mechanical tracking electrical reference at infinite bus. Also, it addressed issue...

Power systems control strategies that use global signals have shown better results than those based on local signals, but the remote are usually taken far away from center. Because of that, wide area power controlled using inherently delayed, and time delays jeopardize stability systems. This paper presents a Kalman delay compensation strategy, which feed Model Predictive Control (MPC) scheme to damp inter-area oscillations in with latencies their communications. A state estimator is...

This paper presents a methodology for solving the Transmission Expansion Planning Problem (TEPP) when environmental concerns are included. The traditional problem is solved minimizing investment cost of adding transmission equipment in order to meet future demand. In this work, multiobjective approach used generate set Pareto optimal solutions from and emissions standpoint as they both conflicting objectives. DC power flow using high Interior Point Method (IPM), Elitist Non-Dominated Sorting...

Abstract
 Objective: This work involves a convex-based mathematical reformulation for the optimal power flow problem in DC networks. The objective of proposed optimization model corresponds to minimization losses through all network branches considering convex conic that warranties finding global optimal.
 Methodology: is split into three stages: first stage presents networks and its geometric features make it non-convex; second from order relaxation; third shows main...