Microgrid Operations Planning Based on Improving the Flying Sparrow Search Algorithm

Microgrid operations planning is crucial for emerging energy microgrids to enhance the share of clean energy power generation and ensure a safe symmetry power grid among distributed natural power sources and stable functioning of the entire power system. This paper suggests a new improved version (namely, ESSA) of the sparrow search algorithm (SSA) based on an elite reverse learning strategy and firefly algorithm (FA) mutation strategy for the power microgrid optimal operations planning. Scheduling cycles of the microgrid with a distributed power source’s optimal output and total operation cost is modeled based on variables, e.g., environmental costs, electricity interaction, investment depreciation, and maintenance system, to establish grid multi-objective economic optimization. Compared with other literature methods, such as Genetic algorithm (GA), Particle swarm optimization (PSO), Firefly algorithm (FA), Bat algorithm (BA), Grey wolf optimization (GWO), and SSA show that the proposed plan offers higher performance and feasibility in solving microgrid operations planning issues.

Optimal Design Methodology on Compensation Parameters of Inductive Power Transfer Converter for Electric Vehicles

Compensation topologies of the inductive power transfer (IPT) converter for electric vehicles (EVs) have been researched in previous works. However, a methodology for designing a compensation topology based on the efficiency of the IPT converter has been barely discussed. This paper proposes an optimal design methodology for compensation parameters to achieve optimal efficiency of the IPT converter with LCC-S. The optimal output voltage is derived using the losses analysis of the IPT converter, and the IPT converter is designed for the optimal output voltage to achieve the optimal efficiency. Furthermore, the battery management (BM) converter on the receiving side is designed based on the output voltage of the IPT converter, the fluctuation range of the coupling coefficient, and the battery charging voltage. The validity of the proposed IPT converter design methodology is verified by designing different compensation parameters and BM converters. The power rating of the three design cases is 3.3 kW with the same magnetic pads satisfying the SAE J2954 WPT 1 class.

An Uncertain APP Model with Allowed Stockout and Service Level Constraint for Vegetables

Volatile markets and uncertain deterioration rate make it extremely difficult for manufacturers to make the quantity of saleable vegetables just meet the fluctuating demands, which will lead to inevitable out of stock or over production. Aggregate production planning (APP) is to find the optimal yield of vegetables, shortage and overstock symmetry, are not conducive to the final benefit.The essence of aggregate production planning is to deal with the symmetrical relation between shortage and overproduction. In order to reduce the adverse effects caused by shortage, we regard the service level as an important constraint to meet the customer demand and ensure the market share. So an uncertain aggregate production planning model for vegetables under condition of allowed stockout and considering service level constraint is constructed, whose objective is to find the optimal output while minimizing the expected total cost. Moreover, two methods are proposed in different cases to solve the model. A crisp equivalent form can be transformed when uncertain variables obey linear uncertain distributions and for general case, a hybrid intelligent algorithm integrating the 99-method and genetic algorithm is employed. Finally, two numerical examples are carried out to illustrate the effectiveness of the proposed model.

STRATEGI MENINGKATKAN LOYALITAS DAN KINERJA KARYAWAN (STUDI PADA AYEE CAFE, MOJOROTO, KEDIRI)

The role of human resources (HR) in a company is very significant and has enormous potential to carry out company activities. Therefore, humans function as the main driving force in every activity carried out by the company. Therefore, human resources should be empowered as much as possible in order to be able to produce optimal output. Good HR management will also affect the increase in company productivity and profitability. And one way that can be taken is by increasing the loyalty and performance of employees to develop companies . This study uses a qualitative method by taking place at Ayee Cafe, Mojoroto-Kediri. The purpose of this study was to determine the operational management Ayee Cafe and how the strategy is to increase employee loyalty and performance. Ayee cafe has a special way to increase employee loyalty and performance that has been implemented for the last 5 years. Ayee cafe also considers all those involved in helping its business as employees. It's just that the owner's job is to manage the business, if the boss makes himself the owner, there will be no discipline. Because what comes to mind is that the owner's name is only receiving the results, that's what the owner of Ayee Cafe avoids. Keywords: strategy, loyalty, employee performance

Study on Agricultural Product-coupled Subsidy Policy Considering Output Uncertainty and the Development of Tobacco Agriculture

Objectives: The health and well-ordered development of tobacco agriculture is very important. The incentive effects of plant-coupled subsidies and output-coupled subsidies on farming decisions with the consideration of uncertainty are investigated. The study shows that if the same unit subsidy is adopted, the incentive effect of the two policies will be determined by the expected output. When the expected output is higher, the incentive effect of the output-coupled subsidy is better than that of the plant-coupled subsidy. And when the expected output is lower, the incentive effect of the plant-coupled subsidy is better. If the implementation scheme limits the total amount of subsidies, it is better to determine subsidy policy by optimal output. The higher the optimal output is, the better the plant-coupled subsidy is. And when the optimal output is relatively low, the output-coupled subsidy shows a better incentive effect. Meanwhile, the study results also show that the incentive effects of the two coupled subsidy policies for increasing production and income are consistent, and the advantages of the policy with better incentive effects increase as the amount of subsidies increases.

Inverse optimal adaptive output feedback control of a class of Euler–Lagrange systems: A nonlinear filter based approach

In this paper, we present an inverse optimal tracking controller for a class of Euler–-Lagrange systems having uncertainties in their dynamical terms under the restriction that only the output state ( i.e. position for robotic systems) is available for measurement. Specifically, a nonlinear filter is used to generate a velocity substitute, then a controller formulation ensuring a globally asymptotically stable closed-loop system while minimizing a performance index despite the presence of parametric uncertainty, is proposed. The stability proof is established using a Lyapunov analysis of the system with proposed optimal output feedback controller. Inverse optimality is derived via designing a meaningful cost function utilizing the control Lyapunov function. Numerical simulations are presented to illustrate the viability and performance of the derived controller.