Parallel Multipopulation Differential Evolutionary Particle Swarm Optimization for Voltage and Reactive Power Control

This paper presents parallel multipopulation differential evolutionary particle swarm optimization (DEEPSO) for voltage and reactive power control (VQC). The problem can be formulated as a mixed integer nonlinear optimization problem and various evolutionary computation techniques have been applied to the problem including PSO, differential evolution (DE), and DEEPSO. Since VQC is one of the online controls, speed‐up of computation is required. Moreover, there is still room for improvement in solution quality. This paper applies parallel multipopulation DEEPSO in order to speed up the calculation and improve solution quality. The proposed method is applied to IEEE 30, 57, and 118 bus systems. The results indicate that the proposed method can realize fast computation and minimize more active power losses than the conventional evolutionary computation techniques.     

EFFECT OF HOT WATER IMMERSION ON PEEL COLOR OF PEARS AND ON WHITE ROT CAUSED BY BOTRYOSPHAERIA BERENGERIANA

Abstract The effectiveness of hot water immersion (HWI) on peel color and the control of white rot caused by Botryosphaeria berengeriana on wound-inoculated European pears, cv. La-France, were investigated. After HWI at 40, 45, 48, 50, 52 and 54C for varying immersion periods, the pears were held at 20C, ≥ 90% RH (simulated retail conditions). The peel color (L*, a*, b*) was determined before and after HWI treatment. The dominant role of L* suggested that peel darkening was the major factor in color change of the HWI treated pears. The L* value of 54 was judged as the border line for acceptability and less than 51 resulted in browning. Similarly the critical points for a*, b*, chroma, hue and ΔE* were found to be −6, 34, 35, 100, and 8, respectively. Disease incidence recorded 7 days after treatment revealed that High Temperature Short Time (HTST) treatment of 54C for 3 min reduced incidence about 85% with good retention of color. Both temperature and immersion period are to be carefully selected to prolong shelf-life and retain the peel color quality of 'La-France'pears.     

On the estimation of stochastic sensitivity for non-linear dynamical systems in state estimation problems†

This paper consists of two main parts. Recognizing the existence of identification errors due to variations of system parameters, the first part is devoted to the verification of the existence of a unique continuous solution of a non-linear vector stochastic differential equation with a random parameter and to the establishment of the stochastic sensitivity equation. Both the a and β-stochastic sensitivity equations are established through the precise definition of stochastic sensitivity.

The remainder of this paper deals with evaluation of quantitative aspects of the sensitivity in the state estimation by using the stochastic sensitivity equation.     

Multiple-criteria optimization of pollution control model

This paper deals with a multiple-criteria optimization problem for the pollution control model which was introduced by Kulikowski. The model consists of n polluters which discharge the waste into the environment through waste treatment plants. The pollution of the environment, observed at m points, is expressed by a system of linear operators. The problem of multiple-criteria optimization for this pollution control model is formulated. The main difficulty of multiple-criteria optimization is that it is no longer clear what one means by an optimal solution. A possible remedy to this situation is to introduce an objective function which is expressed as a function of various criterions. Given the specific objective function, the optimum waste treatment strategy for the pollution control model is first determined with respect to another performance measure which is a linear combination of the various criterions. The optimum strategy for this performance is obtained in terms of the weighting factors in the linear combination functional. A search procedure is then used to determine the optimum values of those weighting factors for the specified objective function.     

Optimal control for linear continuous-time systems with general noises based upon sampled data

This paper is concerned with the optimal control problem for continuous-time systems with general noises, based upon sampled data, under the quadratic cost functional. The system is described by a linear stochastic integral equation, the observations are made at discrete times, and the noise processes are not assumed zero-moan Gaussian and/or white. Derived is the optimal controller algorithm, where the optimal input consists of the following two: (1) the optimal input for usual linear-quadratic-Gaussian control systems and (2) its correction input due to the fact that the noise processes arc non-white and have non-zero means.     

EFFECT OF ALKYL CHAIN LENGTH OF 3-ALKYLPENTANE-2, 4-DIONE ON THE EXTRACTION OF COPPER

The equilibrium and kinetics of the extraction of copper with 3-alkylpentane-2, 4-dione (-H, -C₂H₅, -Ph, and -C₈H₁₇) were studied. It was found that the overall equilibrium constant is related to the proton disscoiation constant and that the ratio of the stability constants of the copper chelate, β₂/β₁ ²was independent of the alkyl chain length of the β-diketone. The rate constants for the reactions between cupric ion and the β-diketones in the aqueous phase were obtained by the relaxation method. The values decreased in the order -H>-Ph>-C₂H₅. The observed extraction rates were explained by a kinetic model using the measured physicochemical properties.     

Demonstration of Loss‐reduction Effect of the Amorphous Cores for Larger‐Capacity Transformers by Trial Manufacture

For the demonstration of feasibility and loss‐reduction effect of the larger‐capacity amorphous core transformers (AMT), this paper proposed the support structure and design method of the iron‐loss reduced amorphous wound cores with a weight of 7 tons. We designed and manufactured 10 MVA single‐phase test model with the cores inserted in a support cage having structures of the stress‐buffered core support, the proof electromagnetic force from the windings, and the stray loss‐reducing shields. The 50%‐loaded total loss of the test model estimated from the calculated and measured results has been reduced by 35% compared with a conventional silicon‐steel core transformer (SST) with the same power capacity.     

Change in Magnetic Domain Structure of Nd‐Fe‐B Sintered Magnets by Compressive Stress

To clarify the relationship between compressive stresses and demagnetization of Nd‐Fe‐B sintered magnets, we have examined the change in domain configuration by compressive stresses using a Kerr microscope. The magnetic domains of five kinds of Nd‐Fe‐B sintered magnets have been observed. The magnets have a coercivity of 0.8 MA/m to 1.4 MA/m and residual magnetic flux density of 1.3 T to 1.5 T. Irreversible demagnetization of Nd‐Fe‐B magnets with a low coercivity of 0.875 MA/m and high residual magnetic flux density of 1.41 T to 1.47 T have occurred from applying a compressive stress of 100 MPa. The compression‐affected area is approximately 0.14%. The stress more than 50 MPa is needed to demagnetize Nd‐Fe‐B magnets. The amount of irreversible demagnetization depends upon the intensity of the compressive stress as well as the residual magnetic flux and coercive force of the magnets.     

System-theoretical approach to model reduction and system-order determination

This paper is concerned with (1) the problem of the construction of lower-order models and (2) the Telated problem of the order determination of a real system based upon an estimated model with an overestimated order. Methods of the construction of stable lower-order models and the system-order determination are proposed. The approach adopted is to obtain a minimal realization of the original system by taking the principal components of the predictors of the outputs as the state and then to construct reduced models based upon a measure of reducibility defined in connection with the minimal realization algorithm. The measure of reducibility is useful to get a priori information about how small the order of the reduced model can be without much deterioration. Simulation studies are also carried out to demonstrate the effectiveness of the measure of reducibility and the proposed methods.     

Performance loss and design method of Kalman filters for discrete-time linear systems with uncertainties†

This paper is divided into two parts. The first part is concerned with the performance loss of the discrete-time Kalman filter designed on the basis of the model with errors in both dynamical and observation systems. The difference equation which describes the evolution of the covariance matrix of actual estimation error is derived. Some numerical results are shown as the illustration of the technique.

The second half is devoted to the development of the method of designing the unbiased minimum variance linear filter for the random system whose elements of both the transition and observation matrices are Gaussian white noises. For this purpose the result of the first part is utilized.