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Content available remote Loss calculation method for hybrid excited machines
This paper presents an experimental method for determining the main losses components in permanent magnets synchronous machines with hybrid excitation (HPMSM). To model the sources of losses is very important in order to optimize such machines and to develop robust control strategies (minimum losses optimization) which can be used in practical applications. Proposed approach was validated using time domain simulations and experiments. Experimental results clearly exhibit the benefits of including core loss model in control system of HPMSM.
W artykule przedstawiono eksperymentalną metodę wyznaczania głównych składników strat maszyn synchronicznych z magnesami trwałymi i wzbudzeniu hybrydowym (HPMSM). Zamodelowanie źródeł strat jest istotne dla optymalizacji tych maszyn oraz dla opracowania właściwych strategii ich sterowania (przy minimalizacja strat), które mogłyby być zastosowane w praktyce. Zaproponowany algorytm został sprawdzony teoretycznie i doświadczalnie. Wyniki badań eksperymentalnych pokazały zalety uwzględnienia strat mocy w algorytmie sterowania HPMSM.
The radial distribution system is a rugged system, it is also the most commonly used system, which suffers by loss and low voltage at the end bus. This loss can be reduced by the use of a capacitor in the system, which injects reactive current and also improves the voltage magnitude in the buses. The real power loss in the distribution line is the I2R loss which depends on the current and resistance. The connection of the capacitor in the bus reduces the reactive current and losses. The loss reduction is equal to the increase in generation, necessary for the electric power provided by firms. For consumers, the quality of power supply depends on the voltage magnitude level, which is also considered and hence the objective of the problem becomes the multi objective of loss minimization and the minimization of voltage deviation. In this paper, the optimal location and size of the capacitor is found using a new computational intelligent algorithm called Flower Pollination Algorithm (FPA). To calculate the power flow and losses in the system, novel data structure load flow is introduced. In this, each bus is considered as a node with bus associated data. Links between the nodes are distribution lines and their own resistance and reactance. To validate the developed FPA solutions standard test cases, IEEE 33 and IEEE 69 radial distribution systems are considered.
Static Var Compensator (SVC) is a popular FACTS device for providing reactive power support in power systems and its placement representing the location and size has significant influence on network loss, while keeping the voltage magnitudes within the acceptable range. This paper presents a Firefly algorithm based optimization strategy for placement of SVC in power systems with a view of minimizing the transmission loss besides keeping the voltage magnitude within the acceptable range. The method uses a self-adaptive scheme for tuning the parameters in the Firefly algorithm. The strategy is tested on three IEEE test systems and their results are presented to demonstrate its effectiveness.
Conventional field-orientated Induction motor drives operate at rated flux even at low load. To improve the efficiency of the existing motor it is important to regulate the flux of the motor in the desired operating range. In this paper a loss model controller (LMC) based on the real coded genetic algorithm is proposed, it has the straightforward goal of maximizing the efficiency for each given load torque. In order to give more accuracy to the motor model and the LMC a series model of the motor which consider the iron losses as a resistance connected in series with the mutual inductance is considered. Digital computer simulation demonstrates the effectiveness of the proposed algorithm and also simulation results have confirmed that this algorithm yields the optimal efficiency.
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