Ai techniques for smart grids networked and embedded systems wilfried elmenreich | 2014-05-22 –artificial neural networks (modeling) –fuzzy logic (control) –evolutionary algorithms, –swarm algorithms (optimization) •now we go for the real thing –should we change the way the system is the smart grid, as the providers envision it. 16 international journal of smart grid and clean energy, vol 1, no 1, september 2012 there is a need to develop schemes that consider the multi-dimensional nature of threats faced by the smart grid through this paper we present a fuzzy logic-based optimization approach towards selecting the most. Abstract—smart grid provides the technology for modernizing information collected for smart-grid monitor/controller during electricity delivery systems by using distributed and com- operation contains fuzziness rather than crisp values. Fuzzy logic technique for smart grid fault detection dr s g srivani1 (ieee member), abhishek kumar2, abhinav u patil3, praveen g4 abstract—this paper introduces the general aspects of grid technology.
A fuzzy logic controller for a pwm inverter in a the technique provides flexibility to the grid to provide power from wind turbines, gives this ability to have more keywords: pic, fuzzy, distribution generation, smart grid, modulation index 1 introduction distributed generation (dg) is expected to become more important in the future. Fuzzy logic process a novel control strategy using fuzzy technique for single phase nine-level grid-connected inverter for photovoltaic system pbhaskara prasad, smuqthair ali, kvenkateswarlu. The smart grid is expected to revolutionize existing electrical grid by allowing two-way communications to improve efficiency, reliability, economics, and sustainability of the generation, transmission, and distribution of electrical power. Fuzzy logic technique for smart grid fault detection dr s g srivani1 (ieee member), abhishek kumar2, abhinav u patil3, praveen g4 abstract—this paper introduces the general aspects of smart grid, which is the combination of many latest technologies for effective energy distribution and usage.
The process of fuzzy inference involves membership functions, fuzzy logic operators, and if-then rules fuzzy inference systems have been successfully applied in fields such as automatic control, data classification, decision analysis, expert systems, and computer vision. Enhancement of microgrid control in distribution system using fuzzy logic technique d prasad rao1, a ravi kumar2, t giri babu3 1,2eee dept ellanki college of engineering and technology to adapt to future smart grid application, it will be a. Fuzzy logic-based charging strategy for electric vehicles plugged into a smart grid 50 a smart technique for optimization and simulation of hybrid a switched hybrid filter - dvs/green plug for smart grid nonlinear loads a sharaf, f gandoman. 166 ieee transactions on smart grid, vol 6, no 1, january 2015 power system stability control for a wind farm based on adaptive dynamic programming yufei tang, student member, mented on a laboratory dfig in , fuzzy logic control is used for primary frequency and active power control of the wind farms in , a methodology to design. Initially a theory, today fuzzy logic has become an operational technique used alongside other advanced control techniques, it is making a discrete but appreciated appearance in industrial control automation systems.
Fuzzy logic method in scada to optimize network electric power smart grid wasum1, sholehhadi pramono2, rahmadwati3 department of electrical engineering, university ofbrawijaya, indonesia abstract: smart grid is one of the solutions in terms of distribution of electricity to make it more effective and. A newly constructed of renewable energy micro grid using fuzzy logic technique smart grid, plug-and-play integration of micro grids is essential, which can function whether they are connected to or separate from the electricity grid (d salomonsson et al, 2007) on the right-hand side, a bidirectional series. Smart grid and renewable energy, 2013, 4, network and fuzzy logic emad m natsheh, alhussein albarbar advanced industrial diagnostics centre, school of engineering, manchester metropolitan university (mmu), manchester, uk hybrid power systems energy controller based on neural network and fuzzy logic. In this research paper, a technique has been proposed for peak load sharing of utility supply using fuzzy logic based technique the proposed technique has been modelled and simulated in simulink environment of matlab the rapidly growing renewable energy resources in context of smart grid environment entails the power system operational. Smart grid and renewable energy, 6, 1-13 many techniques to track maximum power point (mpp) have been proposed since earlier nineties these m e- fuzzy logic deals with uncertainty in engineering by attaching degrees of certainty to the answer to a logical question commercially, fuzzy logic has been used with great success to con.
Fuzzy logic corresponds to degrees of truth, while probabilistic logic corresponds to probability, likelihood as these differ, fuzzy logic and probabilistic logic yield different models of the same real-world situations both degrees of truth and probabilities range between 0 and 1 and hence may seem similar at first. A fuzzy logic approach to collision avoidance in smart uavs michelle hromatka hromatka, michelle, a fuzzy logic approach to collision avoidance in smart uavs (2013)honors thesespaper 13 initially, fuzzy logic was also used to detect possible collisions, the reasons this level was removed from the ﬁnal results are detailed within. Techniques are used to balance the load in a day [20-22] energy resources should be optimized to maximize the utility [23-27] for smart grid fuzzy logic can be used for dsm and dynamic pricing strategies can be employed to meet the demand requirements during peak hours. A fuzzy-logic based coordinated scheduling technique for inter-grid architectures abdulrahman azab 12 hein meling reggie davidrajuh 1 dept of electrical engineering and computer science, faculty of science and technology, university of stavanger, norway [email protected],fheinmeling,[email protected] Obtained from it by the use of cascaded converters with intelligent control techniques fuzzy logic based maximum power point technique is embedded on the a smart grid application, pv array can be used as a source of energy in conjunction with the existing conventional source and wind energy a photovoltaic system converts.
A customized internal fuzzy logic control scheme of the upqc device was developed to regulate the voltage in the wf terminals, and to mitigate voltage fluctuations at grid side the internal control strategy is based on the management of active and reactive power in the series and shunt converters of the upqc, and the exchange of power between. Index terms—modeling, photovolatic power system, wind power generation, fuzzy logic control, smart grid, control system an intelligent control technique using fuzzy logic control associated with a mppt controller are used to improve energy conversion efficiency of the photovoltaic system. Fuzzy logic applications the multicriteria differential relay is a good example of fuzzy logic protective relay technique (figure 5): h criteria signals such as amplitudes, harmonic con- tents, etc are fuzzified in order to account for dynamic errors of the measuring algorithms thus, instead of real numbers, the signals are represent. Smart grid is a developed form of traditional grid the integration of communication and information technologies results in smart grid it uses real time data and optimization techniques to reduce power losses, maintain sustainability, and increase reliability devices of several types are linked together to achieve reliability and sustainability of grid.