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Power flow calculation is the most used procedure in electrical power systems. Generally, most of optimization problems in electric power systems need a steady state analysis to evaluate the objective function. Especially, those optimization problems that make use of artificial intelligence techniques, where, due to the high number of iterations, the power flow calculation has a crucial role. In these...
This paper presents a new way to formulate and solve the distribution system optimal reconfiguration problem. The system equations representing the network topology, power flow equation and objective function equation are transformed into an artificial dynamic model formulated by using only differential equations, on the basis of an error function defined into a Lyapunov space domain. Possible inequality...
A dynamic decision model for microgrids optimal control having as objective function the minimization of the operating costs is proposed and mathematically formalized in this paper. The model is part of an overall decision support system that optimizes microgrids planning and management at different temporal scales, namely long term planning, day ahead and intra-day. Here, the model formalization...
This paper presents the scheduling risk of Independent System Operators in using the DC-based shift factor in modeling transmission constraints in its market optimization model while the incremental transmission losses are only accounted for in the power balancing constraint. Because of the inconsistency in incremental loss modeling, the effectiveness of resource adjustment in resolving transmission...
This paper presents the study of an optimization technique that is developed to locate the optimal location and the size (power rating) of Distributed Generation (DG) for its installation to a distribution system. In this study, a new technique called Exponential Inertia Weight Particle Swarm Optimization is proposed where a new exponential driver is introduced in standard Particle Swarm Optimization...
Loss minimization, cost minimization and voltage stability are the major concerns for modern power system networks operating under highly stressed conditions due to continuously increased power demand. So, it is necessary to analyze the power system considering these factors. A Flexible AC Transmission System (FACTS) device such as Static Var Compensator (SVC) in a power system improves the voltage...
This paper presents a new combined technique for minimizing the power loss in distribution system by optimal Distributed Generation (DG) installation together with capacitor placement. Sensitivity analysis is used to identify the optimal candidate locations of DGs and capacitor placement. Bacterial Foraging Optimization Algorithm (BFOA) is applied to find the optimal size of DGs and capacitors. BFOA...
In this paper, it is show how the second derivatives of the Hessian matrix influence on the convergence of the power flow calculation. Convergence conditions of the Combined Newton's method using 14 nodes IEEE testing schemes are investigated. The method can be used to determine the control actions to pull the operating point into the feasibility domain.
Nowadays the necessary coordination of trades to clear the energy market, while maintaining network security and adequacy of supply, is carried out centrally by a system operator. This paper examines the idea of an autonomously operating power system where energy trading is conducted in a decentralized manner among market players. A general decentralized solution framework is proposed, the main issues...
This paper presents an enhanced particle swarm optimization (PSO) algorithm for Distributed Generation (DG) placement and sizing using multi-objective optimization concept. It is based on the combination of Evolutionary Programming (EP) and PSO. The merits of EP and PSO are combined together so as to achieve faster convergence and accuracy of the DG sizes. The quality of the solution is improved by...
Due to a large array of advantages, offshore wind industry will experience an accelerated growth in the following years. One solution to tackle the issue of collecting the energy form the offshore power plants and distributing it among the onshore consumers can be the multi-terminal HVDC system. In the paper in question, the Kriegers Flak project is analyzed. A series of potential MTDC configurations...
Transmission network expansion planning (TNEP) is one of the important aspects of power system planning. It will find out where, when and how many new transmission lines should be added to the network. In order to meet the load growth and generation patterns to maintain the system reliability, stability, and economic constraints, transmission network expansion planning problem is highly complex in...
This paper utilize two novel optimization techniques namely Particle Swarm Optimization (PSO) and Craziness based Particle Swarm Optimization (CRPSO) to find the optimum location and optimum size of single and two Distributed generator (DG) in distribution system. Minimization of active power loss in distribution network is carried out through DG placement. The method is tested with two standard IEEE...
This paper deals with Smart Grids including renewable generation plants and plug-in vehicle fleets managed by aggregators and connected to the grid through power electronic devices. A new multi-objective optimization model is proposed in order to obtain the optimal operation of the Smart Grids. The proposed model originates from the need of accomplishing numerous and sometime conflicting objectives...
This paper proposes a nonlinear optimization method for optimal placement of distributed generations. There are two essential problems need to be solved for the optimal placement of distributed generations, one is the so-called optimal location problem which determines where distributed generations connect to distribution network, and another is the optimal capacity of distributed generations. The...
In this paper, for optimal location and sizing of distributed generation (DG) in distribution system, a constrained optimization problem is defined. The purpose is to minimize real power losses, improve voltage stability and voltage profile of distribution system. The real power losses, the voltage stability, and the voltage profile of distribution network are formulated as objective function to consider...
In this paper the functional modeling (FM) method developed for efficient solution of simulation, planning and control problems in large power systems and interconnections is presented. In the first part of the paper outline of the FM method is given. According to the FM method a power system is represented by hierarchical model, consisting of systems of equations of subsystems (lower level) and system...
This paper proposes new evolutionary multi agent based particle swarm optimization algorithms for solving optimal power flows with security constraints(line flows and bus voltages). These methods combines the multi agents in two dimensional and cubic lattice structures with particle swarm optimization (PSO) to form two new algorithms. In Cubic lattice structured multi agent based PSO(CLSMAPSO), an...
This paper proposes an optimal power flow (OPF) algorithm based on quadratic modeling and incremental loading of the network. The proposed OPF algorithm is robust and highly efficient for large-scale power systems. Robustness is achieved by the design of the algorithm to operate on infeasible but optimal points and move towards the feasible and optimal operating point. Efficiency is achieved by (a)...
In recent years there has been an increasing focus on distributed generation, due to the benefits they bring to the distribution network and to consumers. To maximize these benefits, such as loss minimization, generator locations and sizes must be carefully determined. Currently few methods in the literature can allocate multiple types and multiple numbers of distributed generators simultaneously,...
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