This paper presents a transmission-constrained unit commitment method using a Lagrangian relaxation approach. Based on a DC power flow model, the transmission constraints are formulated as linear constraints. The transmission constraints, as well as the demand and spinning reserve constraints, are relaxed by attaching Lagrange multipliers. A three-phase algorithmic scheme is devised including d...

Short Term Load Forecasting(STLF) varies from an hour to hour and is used for requirement for control, unit commitment, security assessment, optimum planning of power generation, and planning of both spinning reserve and energy exchange, also as inputs to load flow studies and contingency analysis. Artificial neural networks (ANN’s) has drawbacks like inputs nodes or hidden nodes which can caus...

In this paper the problem of modeling electricity price dynamics in deregulated energy markets is studied. Since the nature of customers' energy consumption, market participants' strategic behavior and the power system reliability indices are stochastic processes, the electricity price model will be stochastic as well. In our analysis the price of electricity is modeled based on the customers' ...

Community Microgrid offers effective energy harvesting from distributed resources and efficient consumption by employing an management system (EMS). Therefore, the collaborative microgrids are essentially required to apply EMS, underlying operative control strategy in order provide system. An EMS is apt optimize operation of several points view. Optimal production planning, optimal demand-side ...

Regarding the importance of ring spinning method among spinning systems, great potentials exist for research about on the improvement of the quality and properties of ring spun yarn. This study aims to improve yarn quality by changing the shape and dimensions of spinning triangle through forming a groove in the middle zone of the front darfting roller with a curvature of 5 to 7 mm. For the to...

A chance-constrained programming-based optimization model for the dynamic economic emission dispatch problem (DEED), consisting of both thermal units and wind turbines, is developed. In proposed model, probability scheduled power (WP) included in set problem-decision variables it determined based on system spinning reserve load at each hour horizon time. This new strategy avoids, one hand, risk...