Operation cost minimization of a Micro-Grid using Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine

This paper presents a new model based on the Monte Carlo simulation method for considering the uncertainty of electric vehicles’ charging station’s load in a day-ahead operation optimization of a smart micro-grid. In the proposed model, some uncertain effective factors on the electric vehicles’ charging station’s load including battery capacity, type of electric vehicles, state of charge, charging power level and response to energy price changes are considered. In addition, other uncertainties of operating parameters such as market price, photovoltaic generation and loads are also considered. Therefore, various stochastic scenarios are generated and involved in a cost minimization problem, which is formulated in the form of mixed-integer linear programming. Finally, the proposed model is simulated on a typical micro-grid with two 60 kW micro-turbines, a 60 kW photovoltaic unit and some loads. The results showed that by applying the proposed model for estimation of charging station load, the total operation cost decreased.

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Characteristic model based micro-grid equivalent modeling

2014 International Conference on Power System Technology ◽

10.1109/powercon.2014.6993540 ◽

2014 ◽

Cited By ~ 2

Author(s):

Cai Changchun ◽

Deng Lihua ◽

Dai Weili ◽

Zhang Jianyong

Keyword(s):

Characteristic Model ◽

Model Based ◽

Micro Grid

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A Model-Based Cost-Minimization Analysis as a Decision Tool in Obstetric Care in Helgeland, Northern Norway

Global Journal of Health Science ◽

10.5539/gjhs.v9n1p191 ◽

2016 ◽

Vol 9 (1) ◽

pp. 191

Author(s):

Halvard Angelsen ◽

Jan Norum ◽

Villy Angelsen ◽

Fred A. Mürer ◽

Randi Erlandsen

Keyword(s):

Quality Of Care ◽

Maternity Care ◽

Cost Minimization ◽

Cost Savings ◽

Obstetric Care ◽

Birth Registry ◽

Cost Minimization Analysis ◽

Model Based ◽

Hospital Trust

BACKGROUND: Quality of care is of utmost importance in maternity care. Today, we base the choice of institution on risk factors. Recently, a Norwegian national plan introduced new guidelines concerning quality and staffing. Consequently, the hospital trusts had to increase the number of obstetricians and midwives and handle raised costs. One way to meet such challenges is to reduce the number of delivery units.OBJECTIVES: We aimed to clarify the costs and benefits of two alternative strategies in obstetric care in Helgeland hospital trust using a model-based cost-minimization analysis (CMA).METHODS: The consequences, in terms of cost/savings and mothers´ time of travelling, by closing two midwife-administered maternity units (MAMUs) and keeping the two departments of obstetrics (DOGs) running was analyzed. We implemented data from the Helgeland hospital trust and the Medical Birth Registry of Norway (MBRN) and the selected period was 2010-2012. The comparator was today’s organization. Costs were converted into Euros at the rate of € 1 = NOK 9.527.RESULTS: The model concluded the closing of two MAMUs created an annual net saving of € 584,346. The mothers´ mean time of travelling increased by 11 minutes and by 91 minutes for those directly affected by the closure. The organizational changes were concluded safe and of low risk with regard to quality of care. A sensitivity analysis revealed the number of midwives dismissed being the most important variable. CONCLUSION: A model-based CMA may be a supportive tool when evaluating maternity care.

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