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Titlebook: Optimization in Planning and Operation of Electric Power Systems; Lecture Notes of the Karl Frauendorfer,Hans Glavitsch,Rainer Bacher Confe

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書目名稱Optimization in Planning and Operation of Electric Power Systems
副標(biāo)題Lecture Notes of the
編輯Karl Frauendorfer,Hans Glavitsch,Rainer Bacher
視頻videohttp://file.papertrans.cn/704/703258/703258.mp4
圖書封面Titlebook: Optimization in Planning and Operation of Electric Power Systems; Lecture Notes of the Karl Frauendorfer,Hans Glavitsch,Rainer Bacher Confe
描述Permanently increasing requirements in power supply necessitate efficient control of electric power systems. An emerging subject of importance is optimization. Papers on modelling aspects of unit commitment and optimal power flow provide the introduction to power systems control and to its associated problem statement. Due to the nature of the underlying optimization problems recent developments in advanced and well established mathematical programming methodologies are presented, illustrating in which way dynamic, separable, continuous and stochastic features might be exploited. In completing the various methodologies a number of presentations have stated experiences with optimization packages currently used for unit commitment and optimal power flow calculations. This work represents a state-of-the-art of mathematical programming methodologies, unit commitment, optimal power flow and their applications in power system control.
出版日期Conference proceedings 1993
關(guān)鍵詞Electric Power Systems; elektrische Energie; elektrische Energiesysteme; energy; mathematical programmin
版次1
doihttps://doi.org/10.1007/978-3-662-12646-2
isbn_softcover978-3-7908-0718-9
isbn_ebook978-3-662-12646-2
copyrightSpringer-Verlag Berlin Heidelberg 1993
The information of publication is updating

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Dynamic Programming Basic Concepts and Applications in time at which a decision can be made, the decision maker chooses an action from a set of available alternatives, which generally depends on the current state of the system. The objective is to find a sequence of actions (a so-called policy) that minimizes the total cost over the decision making
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Approaches to Stochastic Programming with Application to Electric Power Systemsw technique called importance sampling. We discuss an adaptive importance sampling scheme using an additive approximation function. We show how this technique can be applied to facility expansion planning of electrical power systems. Numerical results of testproblems with numerous stochastic paramet
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Experiences with Optimization Packages for Unit Commitmentmpany-owned and jointly-owned plants and long-lasting contracts. These contracts include a lot of different conditions such as price zones and energy constraints and non-convex cost curves. The, complexity of problems in optimization at VEW leads to a three-step hierarchical structure of optimizatio
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Modelling in Hydro-Thermal Optimizationations and by contracted power supply from the national utility (VG). The power system consists of thermal power stations with and without fuel contracts; combined heat and power stations, run-of-river plants, series of run-of-river-plants and water power stations with storage (year, week or day). T
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Power System Models, Objectives and Constraints in Optimal Power Flow Calculationser system state online with repect to various objectives. Typical objectives are minimization of the total generation cost, minimization of the total (or regional) active power network losses, maximization of the degree of security of a network or even a combination of some of them. The achievement
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Use of Linear and Quadratic Programming Techniques in Exploiting the Nonlinear Features of the Optim the nodal power specifications and to the formulation of the objective function. Since there are many inequality constraints there is a strong tendency to linearize the problem and to apply LP and QP-techniques in order to achieve an efficient solution process. Any linearization, however, will incr
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Cost/Benefits Analysis of the Optimal Power Flowpecially during these difficult financial times. An example is presented of an accurate simulation of the cost savings obtained by the OPF for a large utility. The optimization problem that was originally investigated was restricted to the minimization of production cost while eliminating thermal ov
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