Support Capability Evaluation Research Articles

Evaluation of the support capability of the launch power system propellant based on G1-EW two-dimensional cloud model

Due to technical limitations and the characteristics of the launch power system propellant, its support capability is affected by many factors and links. In the process of mission support, it is necessary to consider both its quality characteristics and the safety during the support process, which bring difficulties to the accuracy of its support capability evaluation. In this regard, the evaluation indexes system is constructed according to the requirements of total quality management theory, process safety management theory and equipment support characteristics. In the process of setting the indexes system, the technique for order preference by similarity to an ideal solution method (TOPSIS method) is used to screen the indexes to make indexes setting more scientific. The subjective weights obtained by the order relation analysis method (G1 method) and the objective weights obtained by the entropy weight method (EW method) are combined by the game theory combination weighting method to obtain the indexes combination weights, which reduce the error of weight calculation. The two-dimensional cloud model is used to evaluate support capability of the launch power system propellant from the two dimensions of quality management capability and safety management capability, which can reflect the support capability more comprehensively and accurately. Through example verification, the closeness of support capability of the launch power system propellant to the evaluation grades of ‘excellent’, ‘good’, ‘average’, ‘poor’ and ‘very poor’ is calculated to be 0.2333, 5.1169, 0.3579, 0.1821 and 0.1041, respectively, indicating that the evaluation results are closer to good. Finally, compared with the existing one-dimensional cloud model evaluation method, the superiority of this research method is highlighted, which has a certain guiding role in improving its support capability.

Collaborative scheduling method of active-reactive power for rural distribution systems with a high proportion of renewable energy

Large-scale distributed renewable energy connected to the rural distribution network has given birth to a new rural distribution system with a high proportion of new energy typical characteristics, and the optimal scheduling of the new rural distribution system has become an important issue to ensure the safe and stable operation of the power grid. This paper proposes a method of active-reactive power collaborative optimization scheduling for rural power distribution system with a high proportion of renewable energy. Firstly, the active support capability evaluation model is established, and the active power support capability and reactive power support capability of rural power distribution system are quantitatively evaluated, which provides data basis and boundary conditions for the scheduling part. Then, considering power-loss cost, distribution network operation cost, and penalty cost, a method of active-reactive power collaborative optimization scheduling for rural power distribution systems with a high proportion of renewable energy is proposed. Finally, the active support capability evaluation and regulation platform of the rural power distribution system is built to provide technical support services for the safe and stable operation of the rural power distribution system. Given the problems of overload and overvoltage faced by rural power distribution systems with a high proportion of renewable energy, this paper aims to solve the key technical challenges of optimization and regulation of new rural power distribution systems. The results show that the optimized control method proposed in this paper has better security and economy, and is conducive to promoting the construction and operation of the new rural power distribution system.

Comprehensive Evaluation of the Transient Reactive Power Support Capability of New Energy Stations Based on TOPSIS

In order to effectively evaluate the reactive power support capability of new energy stations, an evaluation system is established with the high voltage ride through(HVRT) capability, low voltage ride through (LVRT) capability and reactive power support capability selected as the evaluation index. And then, a comprehensive evaluation method to effectively evaluate the transient reactive support capability of new energy stations is proposed in this paper. The weight of a single index was determined by the coefficient of variation method and then the comprehensive evaluation index was determined based on TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution). Finally, the rationality and effectiveness of the proposed evaluation method are verified by the measured data of a wind farm.

Calculation method of index weight for facility support capability evaluation in Airfield

In order to effectively evaluate the facilities in each airport airfield, this paper proposes four methods: analytic hierarchy process (AHP), subjective weighting method based on Improved Analytic Hierarchy Process (AHP), objective weighting method based on entropy weight method and combination weighting method based on game theory. Combined with the actual situation of the airport, the corresponding calculation method is adopted to introduce the mathematical model into the construction of the airport. After verification, the proposed method can be applied to 90% of airports, and the applicability of the index is improved by 50%. The weight of obstacle capability evaluation index provides an important basis.

Research on the construction of supportability index of aviation equipment system of systems

According to the characteristics of the air force operation under the condition of informationization, the concept, connotation and characteristics of the supportability of the AESos(Aviation equipment system of systems) based on task are defined. Based on the supportability logical control relation of the AESos, the capability requirements of the system to different levels are defined, and the requirement of the system support capability is described in particular. Secondly, following the idea of model-capability-index, and on the basis of constructing the supportability index system of AESos, the paper puts forward three system-level indexes to evaluate the supportability of the AESos, which are the intact rate of the AESos, the availability of the AESos and the mission continuity probability of the AESos.Finally, the definition and calculation formula of the three system-level indexes are given, which can lay a foundation for modeling and analyzing the supportability of the AESos. It provides support for the evaluation, control, overall planning and optimization of maintenance support capability of modern AESos.

Design and application of support capability evaluation system for complex system

Aiming at the problem of low accuracy and effectiveness of complex system support capability assessment, an index system was constructed on the basis of studying the characteristics of support capability generation elements, in which the systematicness, comprehensiveness and the importance of key links of complex system support were considered, a complex system supportability evaluation model was proposed based on weight scores and key levels, and the score and level of the complex system supportability evaluation were obtained through comprehensive evaluation. A corresponding evaluation system was designed which provided the means and support for the informatization of support capability evaluation of complex systems.

Evaluation of Reactive Power Support Capability of Wind Turbines

Evaluation of Reactive Power Support Capability of Wind Turbines

Evaluation of Reactive Power Support Capability of Wind Turbines

Reactive power plays an important role in the operation of power systems, especially in the case of wind energy integration. This paper aims to evaluate the reactive power support capability of wind turbines in both normal and voltage sag conditions. The three 2MW wind turbines studied are a fixed speed wind turbine and two variable speed wind turbines with full-scale and power-scale power converters. Comparison results indicate that at normal operation, the fixed speed wind turbine with a static synchronous compensator is able to consume the highest reactive power, while the variable speed wind turbine with full-scale power converter can supply the highest reactive power. In case of low voltage, the fixed speed wind turbine with the static synchronous compensator can support the highest reactive power if the static synchronous compensator’s capacity is similar to the wind turbine’s capacity, while if its capacity is equal to 25% of the generator’s capacity, the variable speed wind turbine with full-scale power converter has the best performance.

Research on Equipment Support Capability Evaluation based on Information Fusion

The evaluation of equipment support capability cannot be ignored in the work of equipment support, and the evaluation results directly affect the formulation and decision-making of the support scheme. In view of the multi-source uncertain information in the process of evaluation, this paper proposes an equipment support capability evaluation model based on information fusion, and uses the D-S evidence theory to model and evaluate the uncertainty. The results show that the proposed method is effective. It can be used in engineering practice.

Evaluation of artillery equipment maintenance support capability based on grey clustering

This paper, the theory and method of evaluating the capability of equipment maintenance support in China and abroad are studied, from the point of view of the combat task of artillery troops and the strategic attachment in the future military struggle. This paper establishes the framework of the evaluation Index system of the equipment maintenance support capability of the artillery units, and applies the grey clustering method to the evaluation of the equipment maintenance support capability of the artillery units, and finally evaluates the equipment maintenance and support capability of the artillery brigade as an example, and analyzes the evaluation results. This paper finds out the outstanding problems existing in the maintenance and support of military equipment, and puts forward some constructive suggestions, in order to improve the status of military equipment maintenance and support and improve the level of future equipment maintenance.

Emergency logistics support capability evaluation model based on triangular fuzzy entropy and Choquet integral

The comprehensive evaluation of emergency logistics support capability can promote the construction of the emergency logistics system effectively. This paper constructs an evaluation index system and an evaluation model based on triangular fuzzy entropy and Choquet integral for emergency logistics support capability. In view of the imperfection of subjective determining index weight method in traditional evaluation, we compute the index weight based on triangular fuzzy weight and information entropy, which combining the subjective judgment with objective evaluation. Due to the interactions among indexes, we evaluate the emergency logistics support capability using complexity-based discrete Choquet integral. We present a case study of our evaluation method for the natural disaster in some area. The results show that the proposed model can evaluate the emergency logistics support capability feasibly and effectively.

Research of Regional Emergency Logistics Support Capability Evaluation: A Case of Typhoon Disaster in Zhejiang Province

Research of Regional Emergency Logistics Support Capability Evaluation: A Case of Typhoon Disaster in Zhejiang Province

Equipment maintenance support capability evaluation using cloud barycenter evaluation method

Maintenance support is the most important measures to keep equipments having high operational capabilities. Equipment maintenance support capability is an important part of operational capability and the evaluation of equipment maintenance support capability is very important to the establishment of battle effectiveness. The evaluation index system of equipment maintenance support capability is established according to the evaluation index establishing principles. Cloud barycenter evaluation method is applied to equipment maintenance support capability evaluation on basis of the established evaluation index system. The application steps of cloud barycenter evaluation method to equipment maintenance support capability evaluation are analyzed. A calculating example for equipment maintenance support capability using the proposed algorithm is presented and the evaluation results are achieved using the weighted deflection degree which is used to demonstrate the deflection degree between equipment maintenance support capability and its perfect state. The correctness and validity of the proposed method is verified by the calculating results, which provide an efficient method for equipment maintenance support capability evaluation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1982

Research on Equipment Maintenance Support Capability Evaluation Based on Cloud Theory

Equipment maintenance support capability is an important part of operational capability and the evaluation of equipment maintenance support capability is very important to the establishment of battle effectiveness. Cloud theory is applied to equipment maintenance support capability evaluation on basis of the establishment of the evaluation index system of equipment support capability. The application steps of cloud barycenter evaluation method to equipment maintenance support capability evaluation are analyzed. The evaluation result is achieved using weighted deflection degree which is used to demonstrate the deflection degree between equipment maintenance support capability and its perfect state. The correctness and validity of the proposed method is verified by the calculating result, which provide an efficient method for equipment maintenance support capability evaluation.

Based on the BP Neural Network of Logistics Equipment Support Capability Evaluation

In this paper, the system engineering theory research logistical equipment safeguard ability assessment method, and established the equipment support of the evaluation index system, using BP neural network can to approximate any nonlinear system advantage, based on the BP neural network of logistics equipment support capability evaluation model for logistics equipment safeguard the ability to provide a new method. The simulation results show that this method can ensure objectivity.

Experimental evaluation of DG's dynamic voltage support capability improving short‐term voltage stability on power system loads

AbstractHigh DG penetration will seriously degrade the short‐term voltage stability of the load in bulk power systems. Simulation results in previous studies by the authors have shown that the dynamic voltage support (DVS) capability of a DG improves stability, but experimental evaluation does not yet exist. This paper presents the effects of the DVS capability of a DG on an experimental circuit consisting of an induction motor, a resistance load, and a compensation capacitor behind a reactance. First, an experimental setup that causes voltage instability without DVS is set up. Second, an improvement in DG inverter control is made in order to achieve a low‐voltage ride‐through (LVRT) capability and DVS capability, and the DG's performance is confirmed by voltage sag tests. Finally, the tests on the experimental setup demonstrate that the DVS capability greatly improves the short‐term voltage stability of power system loads, and the experimental results agree well with the simulation results. © 2010 Wiley Periodicals, Inc. Electr Eng Jpn, 172(2): 28–36, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20914