Zobrazeno 1 - 10
of 82
pro vyhledávání: '"D.J. Sobajic"'
Autor:
D.J. Sobajic, J.H. Douglas
Publikováno v:
IEEE Power and Energy Magazine. 2:45-49
This paper reviews the relationship between specific power system operations and market functions, introduces a definition of market conditions that correspond to grid operating states, and proposes an integrated approach for real-time power market o
Publikováno v:
IEEE Transactions on Power Systems. 14:525-531
The paper presents an interactive fuzzy satisfying method for solving optimal power system rescheduling by assuming that the decision-maker has imprecise or fuzzy goals and constraints. An interactive decision-making process is formulated in which de
Publikováno v:
IEEE Transactions on Power Systems. 14:192-199
In this paper, the authors present a unifying framework for design of controllers that suppress low-frequency oscillations in power systems. The proposed methodology is based on the physical notion of dissipativity, and on its system-theoretic counte
Publikováno v:
IEEE Transactions on Power Systems. 13:1345-1351
This paper deals with the application of the method of normal forms in the analysis of a specific aspect of system dynamic behavior in the Manitoba Hydro system. Following a major loss of transmission capacity on the Manitoba Hydro HVDC system (Nelso
Publikováno v:
International Journal of Electrical Power & Energy Systems. 19:489-499
This paper presents a design technique for a new hydropower plant controller using fuzzy set theory and artificial neural networks. The controller is suitable for real time operation, with the aim of improving the generating unit transients by acting
Publikováno v:
IEEE Transactions on Energy Conversion. 12:375-381
This paper presents an attempt of nonlinear, multivariable control of low-head hydropower plants, by using adaptive-network based fuzzy inference system (ANFIS). The new design technique enhances fuzzy controllers with self-learning capability for ac
Publikováno v:
IEEE Transactions on Power Systems. 11:905-910
Although state estimation is a mature technique which is widely available in the EMS industry, experience with practical implementation and use of state estimation and network security analysis functions at electric power utilities over the last two
Publikováno v:
IEEE Transactions on Power Systems. 11:1017-1023
In this paper, power system blending/transloading facilities are modeled using an interactive fuzzy linear programming (FLP), in order to allow the decision-maker to solve the problem of uncertainty of input information within the fuel scheduling opt
Publikováno v:
IEEE Transactions on Energy Conversion. 11:755-761
This paper proposes the application of artificial neural networks to real-time optimal generation dispatch of thermal power plant units. The approach can take into account operational requirements and power network losses. The proposed economic dispa
Publikováno v:
International Journal of Electrical Power & Energy Systems. 17:391-397
An improved neural-net approach based on a combined unsupervised/supervised learning concept is proposed. A ‘moving window’ procedure is applied to the most recent load and weather information for creating training set data base. A forecasting le