Topic
Power-flow study
About: Power-flow study is a research topic. Over the lifetime, 8091 publications have been published within this topic receiving 155053 citations. The topic is also known as: load-flow study.
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23 Oct 2014
TL;DR: An architectural model and algorithms for the self-organization of these distributed energy units within dynamic virtual power plants (DVPP) along with first results from a feasibility study of the integrated process chain from market-driven DVPP formation to product delivery are proposed.
Abstract: The increasing pervasion of information and communication technology (ICT) in energy systems allows for the development of new control concepts on all voltage levels. In the distribution grid, this development is accompanied by a still increasing penetration with distributed energy resources like photovoltaic (PV) plants, wind turbines or small scale combined heat and power (CHP) plants. Combined with shiftable loads and electrical storage, these energy units set up a new flexibility potential in the distribution grid that can be tapped with ICT-based control following the long-term goal of substituting conventional power generation. In this contribution, we propose an architectural model and algorithms for the self-organization of these distributed energy units within dynamic virtual power plants (DVPP) along with first results from a feasibility study of the integrated process chain from market-driven DVPP formation to product delivery.
47 citations
TL;DR: In this article, a methodology based on weighting factors is proposed in order to minimize energy loss by finding the optimal sizes of wind turbines, which is carried out by using the genetic algorithm with utilizing power flow analysis.
47 citations
01 Dec 2011
TL;DR: New techniques for capacitor placement in radial distribution feeders in order to reduce the real power loss, to improve the voltage profile and to achieve economical saving are presented.
Abstract: This paper presents new techniques for capacitor placement in radial distribution feeders in order to reduce the real power loss, to improve the voltage profile and to achieve economical saving. The identification of the weak buses, where the capacitors should be placed is decided by a set of rules given by the fuzzy expert system. Power loss and node voltage indices are used as inputs to the fuzzy expert system and the output is sensitivity index which gives the weak buses in the system where the capacitor to be placed. The sizing of the capacitors is modeled by an objective function to obtain maximum savings using Differential Evolution (DE) and Multi Agent Particle Swarm Optimization (MAPSO). To illustrate the applicability of the above algorithms, simulation is performed on an existing 15 bus and IEEE 34 bus distribution feeders. The results of the proposed approaches are compared with PSO, HPSO techniques and with results of those in the literature.
47 citations
28 Mar 2010
TL;DR: In this article, the power grid containing wind farms is analyzed by AC probabilistic load flow using the combination concept of Cumulants and Gram-Charlier series expansion theory, in which a three-parameter Weibull distribution is adopted to describe the random variation of wind speed, meanwhile the asynchronous wind turbine generator is treated as PQ node.
Abstract: The power grid containing wind farms is analyzed by AC probabilistic load flow. By using the method of the combination concept of Cumulants and Gram-Charlier series expansion theory, the DC probabilistic model is extended into AC probabilistic model, in which a three-parameter Weibull distribution is adopted to describe the random variation of wind speed, meanwhile the asynchronous wind turbine generator is treated as PQ node, then a probabilistic model of wind turbine generator is built. Based on the built model the calculation of IEEE 118-bus system is carried out, and then the probabilistic distributions of nodal voltages as well as the probabilistic distribution of branch load flow are obtained. The variation of nodal voltages and branch load flow before and after the connection of wind farms with power grid is compared.
47 citations
TL;DR: A new method of power flow optimization is developed which exploits this decoupling and consequently reduces problem size and has considerable potential for real time applications such as voltage control, economic dispatch, security analysis, etc., where in many situations the solution of only one subproblem will be required.
Abstract: Guided by the experience that real power is most sensitive to nodal phase angles and reactive power to voltage magnitudes, a new method of power flow optimization is developed which exploits this decoupling and consequently reduces problem size. This decomposition of the real and reactive equations results in the formation of two subproblems-one corresponding to the real power equations and the other to the reactive power equations. In practice, the two subproblems are alternatively solved until the desired accuracy is attained. The method has considerable potential for real time applications such as voltage control, economic dispatch, security analysis, etc., where in many situations the solution of only one subproblem will be required. The algorithm was originally developed for applications related to system security and for this purpose linear programming is used for optimizing each of the subproblems. A test case study of a 38-node network demonstrates the convergence properties of the algorithm.
47 citations