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This paper sets out the reasons why multi-agent systems are attracting significant research interest for power engineering applications. It intends to provide some definitions for the field, and proposes why the technology is of value to the power engineering industry. It also indicates the technical issues which the authors believe must be addressed in order to accelerate and facilitate the uptake...
Wind power generation using an unlimited, natural energy is getting an attention regarding environment issues in recent years, and the installed capacity of wind power generation system is increasing at a rapid pace, resulting in deterioration of power quality especially frequency and voltage. This fact will be a big problem to restrict large capacity of wind farm. This paper proposes a new frequency...
This paper presents an approach of controlling induction generator terminal voltage and power factor by adjusting reactive power using compensating capacitor. At first, the theoretical equations expressing induction generator terminal voltage and power factor are derived. Then, the compensating capacitor in terms of wind velocity is determined quantitatively. By using the proposed control method,...
Effective utilization of renewable energies such as wind energy is expected instead of the fossil fuel. Wind energy is not constant and windmill output is proportional to the cube of wind speed, which cause the generated power of wind turbine generators (WTGs) to fluctuate. In order to reduce output power fluctuation of wind farm, this paper presents a output power leveling control strategy of wind...
The following topics are dealt with: distribution system design and reconfiguration; load and price forecasting and estimation; fault diagnostics; electric shipboard system; power system control; autonomous distribution system with applications to ship, space and vehicle systems; power plant estimation and control; security assessment; wind generation control; multi-agent systems; intelligent systems...
This paper presents a hierarchical stabilization control system with a multi-agent based upper level stabilization controller and a lower level local stabilization controller. Two types of intelligent agents are proposed to realize the proposed upper level stabilization controller: a monitoring agent for gathering required information to stabilize the target power system and a stabilization control...
In this paper, we developed a power system normal operation application by multi-agent approach. The multi-agent system consists of several facilitator agents, equipment agents, and switch-box agents. A facilitator agent acts as a manager for negotiation process between agents. An equipment agent corresponds to the element of the electric power system, such as bus, transformer, and transmission line,...
In partially deregulated power system, a power company encounters such problems as power flow congestions caused by unexpected power wheeling from PPSs (power producer & suppliers) and as to achieve social welfare by optimally operating own generators. These problems can be solved in a lump by solving a security constrained unit commitment problem. This paper proposes a new solution algorithm...
During the last twenty years, intelligent systems applications have received increasing attention in manufacturing industries, electric power utilities and academia including universities and institutions. The applications are spread to the wide areas for the operation, control and management of electric power systems including prediction, diagnosis, optimization, and planning. In Japanese utilities,...
A large-scale power system is required to have a new strategy to operate at a higher level of automation, flexibility, and robustness. It is a challenge to get the steady-state model for a high order complex nonlinear power plant. Moreover, the model should be adaptive under the changing environment. In this paper, a multi-agent system-based intelligent steady-state model (MAS-ISSM) is presented as...
A new risk assessment method is proposed for short-term load forecasting. The proposed method makes use of the RBFN (radial basis function network) to forecast loads due to the good performance. Sufficient realistic pseudo-scenarios are required to carry out quantitative risk analysis in the Monte-Carlo simulation. The multivariate normal distribution with the correlation between the input variables...
The demise of the native franchise markets and emergence of competitive markets for electricity generation service is changing the way that electricity is and will be priced and is making increasingly difficult for market participants to appraise the prospects for the future electricity market. As a result, conventional generation expansion planning (GEP) problems determining the least-cost capacity...
This paper proposes an improving method of input-output correlations of forecasting system for electric power load by scatter search. We have developed electric power load forecasting methods using weather information at Nagoya city. For high accuracy of forecasting, input-output correlations of forecasting system must be improved using weather information of other areas. Weighted average weather...
Standard market design for deregulated electricity markets adopts locational marginal pricing mechanism to manage transmission congestion. Currently independent system operators who run the electricity markets determine the power schedule by minimizing the total supply offer costs in auctions, but use marginal prices for payment in the subsequent settlement process. This inconsistence between the...
In this study the state-of-the-art extended particle swarm optimization (PSO) methods for solving multi-objective problems are represented. We emphasize in those, which use the co-evolution technique of the parallel vector evaluated PSO (VEPSO), analyzed and applied in a multi-objective problem of power systems. Specifically, reactive power control is formulated as a multi-objective optimization problem...
This paper presents a comparison in performance of 3 variants of genetic algorithms (GA) vs. 2 variants of evolutionary particle swarm optimization (EPSO), made in the extremely complex context of a multi-energy market simulation where the behavior of energy retailers is observed. The simulations are on JADE, a FIPA compliant platform based on intelligent autonomous agents running in a cluster of...
This paper presents an adaptive unit commitment strategy with load forecasting. In general, there is a close relation between load demand and temperature. If the forecasted temperature comes off, the error margin of the load demand grows. In order to improve prediction accuracy, we forecast the load demand again after actual load does not correspond to forecasted load and actual temperature varies...
Decision problems cannot be fully represented without underlying assumptions about the decision maker motivations and behavior. This paper describes one technique to build a rule model representing the interaction of preferences of a decision maker, by training a fuzzy inference system based on examples
The purpose of vulnerability assessment is to determine when a disruption of service is likely to occur and to take steps to reduce the associated risk. With the growth of power systems, increases in grid complexity, and the trend toward deregulation, vulnerability assessment is imperative. Accurate vulnerability assessment is especially vital during heavy loading conditions and a vulnerability index...
This paper presents a novel approach for the assessment of dynamic voltage stability. The power system dynamic voltage stability problem is modeled as a multi-input multi-output (MIMO) transfer function. By means of singular value analysis, interactions between properly defined input and output variables affecting dynamic voltage stability can be analyzed for different frequencies. The output singular...
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