Synthesis of the Management Strategy of the Ship Power Plant for the Combined Propulsion Complex

Sandler

Shevchenko

2022

EEJET

For an electric power system (EPS) of the combined propulsion complex (CPC), working on a constant-power hyperbola (CPH), the strategy of managing power distribution between propulsion electric motors and own needs consumers has been improved. The study reported here aimed to reduce fluctuations in current consumption and load by optimizing voltage controllers and the rotation frequency of generator assemblies (GA). The system of EPS GA voltage and frequency stabilization was synthesized by determining, in the system of equations, the dynamics of the values of EPS links' time constants and the coefficients that correspond to control parameters. To define the characteristics of the control signals from the regulators of EPS GA rotation frequency and excitation voltage, the laws that control the speed and excitation current were calculated. After sampling the coefficients of the GA speed control regulator, the tasks for the excitation voltage controller were determined. The methodology of data acquisition was applied on the basis of a correlation between the EPS characteristics and the experimental characteristics of GA. The system of EPS dynamics equations was optimized in accordance with the structure and settings of the optimal controller and the probability of a situational error by using Spearman's rank correlation coefficient. The optimization has made it possible to reduce the likelihood of a situational error during the synchronization of GA and enable the stable operation of GA close to the mode of operation on CPH. The power controller was tested under the mode of changing the load of own needs with the power levels of EPS on CPH in the range of 50‒100 % of the rated power. The range of deviations of the current consumed with an enabled GA rotation controller was 10 % of the average value. The range of EPS power deviations with the power controller turned on was 5 %.

Section: The Study Materials and Methodsmentioning

confidence: 99%

Optimization of the control system for an electric power system operating on a constant-power hyperbole

Sandler

Shevchenko

2022

EEJET

“…Accepting a number of assumptions about the parameters of the input flows and the nature of their maintenance allows us to build the model of IQS that is amenable to analytical research. This applies first of all to Markov systems that occupy the same place in queuing theory as linear systems in the theory of automatic control [14].…”

Section: Problem Solutionmentioning

confidence: 99%

Operational Optimization of the Electromechanical System in Non-deterministic Conditions

Wseas Transactions on Circuits and Systems

Onishchenko

Hvozdeva

et al. 2020

Self Cite

On the basis of theoretical and practical studies of the electromechanical system, the scientific and technical problem of improving the control system of the electromechanical system during the impact on it of multi-vector perturbations is solved. The result of the study is the integration of differential equations with coefficients dependent on the oscillations of the control object. In the theoretical part, the mathematical model of the electromechanical system was synthesized, which made it possible to investigate ways of minimizing the deviation angles and time intervals required to stabilize the motion of the electromechanical system, which allowed indirectly to realize the associated signal with the stochastic nature of the moment of oscillation of the control object on the coordinate plane. The method of parametric optimization of the mathematical model of the electromechanical system in the function of the angle of inclination is also improved and investigated. Based on the definition of the structure and algorithms of work, the efficiency of the control system of the electromechanical system increases in terms of reducing the stabilization time of the control object.

“…Therefore, in order to avoid the risks of thermal overload, it is necessary to main-tain an excess supply of generated capacity. For example, under a running mode, instead of the possible four, there are five GUs operated at low and medium loads [17]. That leads to a decrease in mechanical efficiency, and, as a result, a decrease in the effective efficiency η e =η i η m .…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In the case when, after t PN (min) is over, the emission value P N (l)=1, then the value for the second delay time interval is selected depending on the amount of the established power ∆P N , in accordance with the load characteristics of GU (17). Or, as shown in Fig.…”

Section: Analysis Of Equivalent Characteristics and Selection Of Optimal Gu Configuration According To The Criterion Of Minimum Fuel Consmentioning

confidence: 99%

Solving a task of coordinated control over a ship automated electric power system under a changing load

Shevchenko

2021

EEJET

Self Cite

This paper reports the synthesis of the main processes for the basic control over a complex technical vessel system. The issue related to the semantics of the description and the method for decomposing management tasks has been proposed to resolve in the context of the synthesis of the program to coordinate control over vessel technical systems and complexes with a sophisticated structure. An example of a five-unit ship’s automated electric power system (SAEPS) for the predefined level of generated power, taking into consideration the efficiency criteria, was used to synthesize the algorithms that execute transitions from one level to another while taking into account the pre-emergency and emergency states of SAEPS. The organization of the sequential process of enabling/disabling generator units (GUs) implies developing a program for managing the coordinator's supervisor as part of a distributed two-level hierarchical structure of SAEPS control when the load changes. The sequence of operations to launch, synchronize, transfer the loading, and stop GU is based on the formation of GU optimal composition, the distribution of loads among GUs running in parallel, and the implementation of the program for optimizing the primary engine of the power plant. The reported principles for constructing GU composition control procedures based on the principle of "rigid and flexible" thresholds have made it possible to build a diagram of adjustment of the time delay in enabling GU dependent on the demanded power. It has been proven that the proposed technique improves the reliability of SAEPS operation as it eliminates possible emergency modes when false control combinations are assigned. Databases on the quantity of GUs, their technical condition, loading, fuel consumption, and environmental parameters have been built. The synthesis of control over a five-unit SAEPS has made it possible to determine the algorithmization procedure based on using an extended data array and simplify the functioning algorithm involved in the operations of choosing the structure for a five-unit SAEPS