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The simple genetic algorithm is introduced at first. On the basis of many strategies to selector operator, crossover operator and mutation operator, the advanced genetic algorithm sufficiently considers the global optimum by generating new individuals in each generation, which guarantees the population's multiplicity and accelerates the evolved speed. The optimal design of permanent magnet generator...
Excitation system plays a key role in realistic simulation and analysis of the dynamic performance of electrical power systems to a large extent. Therefore, it is desire to obtain the real parameter of the excitation system in order to study the dynamic performance of power systems. This paper presents a practical technique to address the excitation system identification. The measurement was performed...
The basic objective of economic dispatch of electric power generation is to schedule the committed generating unit outputs so as to meet the load demand at minimum operating cost while satisfying all unit and system equality and inequality constraints. Due to increasing concern over the environmental considerations, society demands adequate and secure electricity not only at the cheapest possible...
It has been shown by Indyk and Sidiropoulos that any graph of genus g > 0 can be stochastically embedded into a distribution over planar graphs with distortion 2O(g). This bound was later improved to O(g2) by Borradaile, Lee and Sidiropoulos. We give an embedding with distortion O(log g), which is asymptotically optimal. Apart from the improved distortion, another advantage of our embedding is...
Generally, in an electricity market, congestion is caused by two main agents - offer/bid by generator/load and the transmission system (i.e. network) itself. In this paper, we focus on the interdependency between congestion and the network, while keeping the effect of offer/bid constant. Network-based dynamic congestion can occur when congestion changes due to the changes in the network. We analyze...
The intermittency of renewable energy sources such as wind or solar generation is a major challenge in the integration of these resources. Storage devices combined with optimal control provide the opportunity to overcome this challenge. In this paper, a control concept is presented which coordinates the usage of storage devices, intermittent energy sources, conventional generation and load control...
This paper proposes a combined Secondary and Tertiary Voltage Regulation (SVR+TVR) methodology based on real-time optimal power flows (OPFs) to periodically update the generators' voltage regulator set points. Minimum active power losses (MAPL) and maximum loadability (ML) OPF approaches are used for the proposed SVR+TVR control. The presented technique is compared against a “classical” SVR control,...
This paper addresses the problem of coordinating voltage control in a large-scale power system partitioned into control areas operated by independent utilities. Two types of coordination modes are considered to obtain settings for tap changers, generator voltages, and reactive power injections from compensation devices. First, it is supposed that a supervisor entity, with full knowledge and control...
Program verification based on invariant generation is a central issue in recent years. Invariants are key to deductive verification of imperative programs. In this paper, depending on linear invariants and polynomial loop invariants, we present a practical program verification framework. The safety property and the termination property can be verified automatically. The experimental results demonstrate...
This paper presents a new particle swarm optimization based corrective strategy to alleviate overloads of transmission lines. A direct acyclic graph (DAG) technique for selection of participating generators and buses with respect to a contingency is presented. Particle swarm optimization (PSO) technique has been employed for generator rescheduling and/or load shedding problem locally, to restore the...
This paper introduces a differential evolution particle swarm optimization (DEPSO) method for dealing with optimal reactive power dispatch aiming at power loss reduction and voltage stability improvement. The optimum reactive power dispatch of power systems is to allocate reactive power control variables so that the objective function composed of power losses is minimized and the prescribed voltage...
In this paper, a new particle swarm optimization (PSO) algorithm namely Turbulent Crazy Particle swarm Optimization (TRPSO) is introduced to solve multi-constrained optimal reactive power dispatch in power system. Optimal reactive power dispatch problem is a multi-objective optimization problem that minimizes bus voltage deviations and transmission loss. The feasibility of the proposed algorithm is...
This paper presents the application of bio-inspired artificial bee colony (ABC) optimization to constrained economic load dispatch problem. Independent simulations were performed over various systems with different number of generating units having constraints like prohibited operating zones and ramp rate limits. The performance is also compared with other existing similar approaches. The proposed...
Ant Colony Optimization (ACO) is more suitable for combinatorial optimization problems. This paper proposes Genetic Evolving Ant Colony Optimization (EACO) method for solving unit commitment (UC) problem. The EACO employs Genetic Algorithm (GA) for finding optimal set of ACO parameters, while ACO solves the UC problem. Problem formulation takes into consideration the minimum up and down time constraints,...
Transmission loss and load flow allocations become important issues under deregulation system. Due to nonlinear nature of power flow, tracing the loss and power flow through the mesh network becomes more complicated. Since the complexity of electricity transmission system, it is not straightforward to determine the contribution of particular generator to a particular line loss and/ or load. This paper...
Microgrids are low voltage intelligent distribution networks comprising various distributed generators, storage devices and controllable loads which can be operated as interconnected or as islanded system. The optimal generation scheduling is one of the important functions for the Microgrid operation. This paper describes a three-step efficient method for the optimal generation scheduling of a Microgrid...
This paper presents an effective method of congestion management in power systems. Congestions or overloads in transmission network are alleviated by generation rescheduling and/or load shedding of participating generators and loads. The two conflicting objectives 1) alleviation of overload and 2) minimization of cost of operation are optimized to provide pareto-optimal solutions. A multiobjective...
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