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Improved market efficiency from combining markets through inter-regional market coordination can lead to significant changes in the consumer and producer surplus of an individual market since inter-regional energy trading can significantly alter energy prices and market shares across various regions. It is necessary to study the impacts of inter-regional energy trading on the net welfare of an individual...
This paper presents a link of the functions model belief, unbelief and specialty from three values noted para-consistent logic - LPA3v for cases retrieval in domain of diagnostic determination of a reasoning based in cases - RBC. The implementation of LPA3v in intelligent systems allows working with inconsistent information, undefined, with partial knowledge and specialist knowledge in such a way...
This paper presents a comparison of different optimization methods developed for the solution of the nonlinear OPF problem with both continuous and discrete variables. Two mathematical programming methods are compared with two metaheuristics, a particle swarm optimization implementation and an enhanced genetic algorithm. Test results from the application of the methods to several IEEE systems are...
This paper presents the design of an optimal dynamic neurocontroller for a new type of FACTS device - the gate controlled series capacitor (GCSC) incorporated in a multi-machine power system. The optimal neurocontroller is developed based on the heuristic dynamic programming (HDP) approach. In addition, a dynamic identifier/model and controller structure using the recurrent neural network trained...
The abstraction of meaningful diagnostic information from raw condition monitoring data in domains where diagnostic expertise and knowledge is limited presents a significant research challenge. This paper proposes a means of abstracting the salient features required to characterize partial discharge (PD) activity detected in oil-filled power transformers. This enables ultra high frequency (UHF) sensor...
Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine...
The wavelet neural network (WNN) is a recently developed mathematical tool that can be used in nonlinear system modeling. Motivated by the multi-resolution definition in multi-resolution approximation theory, this paper proposes a novel WNN-based modeling approach possessing two unique characteristics. Firstly, a multi-resolution system model, having an output corresponding to each resolution, is...
Many approaches have been taken on the reconfiguration of power systems, but most of these approaches use a centralized method. While these methods can be acceptable for terrestrial power system applications, doing reconfiguration on shipboard power systems has a different set of issues involved. For naval ships, that may experience damage during battle, a centralized reconfiguration method provides...
Using soft computing for solving distribution reconfiguration problems were studied for many years. Genetic algorithm (GA) is one of the most popular technologies in the soft computing area for solving distribution system problems. However, due to the radial structure of power distribution system, traditional GAs may encounter some difficulties when searching for the optimal solution. Evolutionary...
Political targets and financial incentives lead to increased installation of photovoltaic (PV) generation plants. Today's planning and design of such assets is usually based on global energy harvest considerations only. Efficient exploitation of the given insolation, on the other hand, would require for any grid-parallel or detached supply configuration to: adequately rate the components according...
With the introduction of electricity markets, it has become clear that power system planning must be considered a dynamic process, particularly with regards to understanding investor behavior given incentives to build new transmission lines and power plants. The authors have recently introduced a hybrid approach combining system dynamics modeling with the more traditional power system planning. In...
This paper describes an approach to uncertainty in electrical engineering problems based on the polynomial chaos theory. The basics of the mathematical theory are introduced and then specific applications to electrical engineering problems are discussed. The applications encompass modeling and simulation, control, and measurements
Initial efforts in a three-year program to develop an advanced simulation & control system for surface ships are described. The system employs a recursive neural network to simulate the motion of the vehicle in the presence of wind and waves. The faster-than-real-time response of the trained network will permit the use of advanced control techniques such as model-reference control or predictive...
Unmanned surface vehicles (USVs) can serve the roles of providing Intelligence, Surveillance and Reconnaissance (ISR) to a fleet as well as performing mine countermeasure (MCM) missions. Many of these missions require some period of low observable/stealth mode operation of the USV. The focus of this paper is modeling of a hybrid power system to meet for a USV to meet the mission profiles. The power...
With a properly designed external controller, the series capacitive reactance compensator (SCRC) can be used to damp low frequency power oscillations in a power network. Conventionally, linear control techniques are used to design the external controller around a specific operating point where the nonlinear system equations are linearized. However, at other operating points its performance degrades...
An adaptive Mamdani based fuzzy logic controller has been designed for controlling a static compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. A model free approach using the controller output error is applied for training purposes...
This paper presents a general multiagent system based framework for the control of microgrids. The main target is to present a system capable of integrating several functionalities and to propose a general scheme for the control of microgrids. This architecture should be adaptable to the complexity and the size of the system. The architecture is based on the idea of layered learning where the various...
Wind turbine generators and PV system causes fluctuating power condition. Therefore, the fluctuating power causes frequency and voltage fluctuations. In order to solve this problem, we propose a new power supply system by using renewable energy power production plant in isolated island. The feature of this system is to use hydrogen production unit and fuel cell. The operation of suggested system absorbs...
In recent years, it begins to be anxious about the warming problem by the increase in carbon dioxide on a scale of the Earth. Actually, this is considered to be also a cause that this year is overly developing of a large-scale typhoon and the direct hit to a Japanese mainland. Inside of such backgrounds, every country in the world is performing the research and development about the new power generation...
Doubly-fed induction generator (DFIG) based wind turbines are highly susceptible to grid voltage imbalances. Normally the turbines are disconnected from the grid in the event of even moderate imbalances which contribute to poor utilization of the turbine. In this paper, a control strategy to use the grid-side converter in the rotor circuit of the DFIG to compensate for the grid voltage imbalance is...
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