Optimization of Minimum Power Output for Combined Heat and Power Units Considering Peak Load Regulation Ability

Northern China has rich wind power and photovoltaic renewable resources. Combined Heat and Power (CHP) Units to meet the load demand and limit its peaking capacity in winter, to a certain extent, it results in structural problems of wind-solar power and thermoelectric. To solve these problems, this paper proposes a plurality of units together to ensure supply of heat load on the premise, by building a thermoelectric power peaking considering thermal load unit group dynamic scheduling model, to achieve the potential of different thermoelectric properties peaking units of the excavation. Simulation examples show, if the unit group exists obvious relationship thermoelectric individual differences, the thermal load dynamic scheduling can be more significantly improved overall performance peaking unit group, effectively increase clean energy consumptive.

Day-Ahead Probabilistic Load Flow Analysis Considering Wind Power Forecast Error Correlation

Short-term power flow analysis has a significant influence on day-ahead generation schedule. This paper proposes a time series model and prediction error distribution model of wind power output. With the consideration of wind speed and wind power output forecast error’s correlation, the probabilistic distributions of transmission line flows during tomorrow’s 96 time intervals are obtained using cumulants combined Gram-Charlier expansion method. The probability density function and cumulative distribution function of transmission lines on each time interval could provide scheduling planners with more accurate and comprehensive information. Simulation in IEEE 39-bus system demonstrates effectiveness of the proposed model and algorithm.

Person video alignment with human pose registration

1 Introduction and main contributions.Video alignment,especially human action alignment,is a challenging task.Its purpose is to develop an algorithm to match the same process so that videos can be aligned.Despite the progress that has been made in image recognition,it is still a difficult problem for distinguishing from similar frames for alignment without context information.

PM_(2.5) exposure associated with microbiota gut-brain axis:Multi-omics mechanistic implications from the BAPE study

Recent studies have shown that PM_(2.5) may activate the hypothalamus-pituitary-adrenal(HPA)axis by inducing hormonal changes,potentially explaining the increase in neurological and cardiovascular risks.In addition,an association between PM_(2.5) and gut microbiota and metabolites was established.The above evidence represents crucial parts of the gut-brain axis(GBA).In view of this evidence.