The performance of a photovoltaic (PV) array is affected by temperature, solar insolation, shading, and array configuration. Often, the PV arrays get shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. The situation is of particular interest in case of large PV installations such as those used in distributed power generation schemes. Under partially shaded conditions, the PV characteristics get more complex with multiple peaks. Yet, it is very important to understand and predict them in order to extract the maximum possible power. This paper presents a MATLAB-based modeling and simulation scheme suitable for studying the I-V and P-V characteristics of a PV array under a nonuniform insolation due to partial shading. It can also be used for developing and evaluating new maximum power point tracking techniques, especially for partially shaded conditions. The proposed models conveniently interface with the models of power electronic converters, which is a very useful feature. It can also be used as a tool to study the effects of shading patterns on PV panels having different configurations. It is observed that, for a given number of PV modules, the array configuration (how many modules in series and how many in parallel) significantly affects the maximum available power under partially shaded conditions. This is another aspect to which the developed tool can be applied. The model has been experimentally validated and the usefulness of this research is highlighted with the help of several illustrations. The MATLAB code of the developed model is freely available for download.

MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics

electrical and computer engineering ece courses ece 257a multiuser communication systems 4 congestion control convex programming and dual controller fair end end rate allocation max min fair vs proportional, electrical systems engineering washington university arye nehorai eugene and martha lohman professor of electrical engineering phd stanford university signal processing imaging biomedicine communications, ieee transactions on aerospace and electronic systems ieee transactions on aerospace and electronic systems focuses on the organization design development integration and operation of complex systems for space air, department of electrical engineering and computer science h kumar wickramsinghe department chair 2213 engineering hall 949 824 4821 http www eng uci edu dept eecs overview electrical engineering and computer science is, download electrical and electronics engineering ebooks syst mes temps discret commande num rique des proc d s pdf 499 ko terminology and symbols in control engineering pdf 326 ko the best of thomas, publications stream wise list iit kanpur papers published in journals in 2016 dutta s patchaikani p k behera l near optimal controller for nonlinear continuous time systems with unknown dynamics, resolve a doi name type or paste a doi name into the text box click go your browser will take you to a web page url associated with that doi name send questions or comments to doi, peer reviewed journal ijera com international journal of engineering research and applications ijera is an open access online peer reviewed international journal that publishes research, dod sbir 2016 2 sbir gov note the solicitations and topics listed on this site are copies from the various sbir agency solicitations and are not necessarily the latest and most up, an english japanese dictionary of electrical engineering c 2952 9 691 c band c c contact c c maccs centre for mathematical modelling and computer simulation, the of and to a in that is was he for it with as his on be most common text click on the icon to return to www berro com and to enjoy and benefit the of and to a in that is was he for it with as his on be at by i this had

Detection, Estimation, and Modulation Theory

This paper formulates the price-based unit commitment (PBUC) problem based on the mixed integer programming (MIP) method. The proposed PBUC solution is for a generating company (GENCO) with thermal, combined-cycle, cascaded-hydro, and pumped-storage units. The PBUC solution by utilizing MIP is compared with that of Lagrangian relaxation (LR) method. Test results on the modified IEEE 118-bus system show the efficiency of our MIP formulation and advantages of the MIP method for solving PBUC. It is also shown that MIP could be applied to solve hydro-subproblems including cascaded-hydro and pumped-storage units in the LR-based framework of hydro-thermal coordination. Numerical experiments on large systems show that the MIP-based computation time and memory requirement would represent the major obstacles for applying MIP to large UC problems. It is noted that the solution of large UC problems could be accomplished by improving the MIP formulation, the utilization of specific structure of UC problems, and the use of parallel processing.

/pdf/price-based-unit-commitment-a-case-of-lagrangian-relaxation-w4v80comqv.pdf

Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming

Congestion management in competitive power market : A bibliographical survey

A device and a process for performing high temporal- and spatial-resolution MR imaging of the anatomy of a patient during intensity modulated radiation therapy (IMRT) to directly measure and control the highly conformal ionizing radiation dose delivered to the patient for the treatment of diseases caused by proliferative tissue disorders. This invention combines the technologies of open MRI, multileaf-collimator or compensating filter-based IMRT delivery, and cobalt teletherapy into a single co-registered and gantry mounted system.

System for delivering conformal radiation therapy while simultaneously imaging soft tissue

An object-oriented power system simulation environment is constructed using the SIMULINK dynamic system modeling software. The environment is well suited to educational purposes, because the user interface is interactive and intuitive with a graphical, object-oriented model representation. For small system studies, a model is constructed in block diagram form with one block for each system component. For large scale simulations, the dynamics of portions of the network can be combined into collective blocks, with parameters managed as data arrays accessed indirectly using string mnemonics. The advanced numerical capabilities built into SIMULINK provide an excellent simulation engine for the nonlinear models. Offline analysis is available through the extensive capabilities of the MATLAB environment.

/pdf/interactive-object-oriented-simulation-of-interconnected-1e649sn1zu.pdf

Interactive object-oriented simulation of interconnected power systems using SIMULINK

Introduction The Unit Commitment Problem Unit Commitment in a Deregulated Environment Survey of the Dynamic Programming Formulation Unit Commitment for an Individual Power Producer Price Process of Electricity Computational Complexity of Unit Commitment Forward Contracts and Futures Reserve Markets for Power System Reliability Unit Commitment in Congested Transmission Systems

Price-Based Commitment Decisions in the Electricity Market

A method of determining a mean for a data set of data element values. A form of a probability density function statistical distribution is selected for each data element of the data set, based on the value of that data element. Then a mean of the probability density function of each data element is estimated, by, e.g., a digital or analog processing technique. The estimated mean of each data element's probability density function is then designated as the mean for that data element. In a method of normalizing a data set of data element values based on estimated probability density function means of the data set, each data 10 element value in the data set is processed based on the estimated mean of the probability density function of that data element to normalize each data element value, producing a normalized data set.

Eric Allen

Papers

Interactive object-oriented simulation of interconnected power systems using SIMULINK

Price-Based Commitment Decisions in the Electricity Market

Adaptive mean estimation and normalization of data

Providing for transmission in times of scarcity: an ISO cannot do it all

Transmission scarcity: who pays?