Due to uncertain nature of wind and photovoltaic power units, the participation of this units in electricity markets is subjected to significant deviation penalties. This issue leads to despondency or even admission of these units in the competitive environment. With regard to this fact that the low deviations are available when predictions are performed in a short-term horizon and also distrib...

In this article using comparative multi-purpose algorithm of PSO, optimum capacity of new resources and their spinning storage is defined. Spinning reserve requirements and optimized to maximize profit per unit is determined according to uncertainty. In fact by increasing the level of cost reservation, power supply increases but penalty of blackout decreases. In this paper in has been tried to ...

In this paper an application of a combined method for the profit based unit commitment problem (PBUC) using Genetic Algorithm and Lagrangian Relaxation (LR) is presented. The algorithm is proposed to solve PBUC under deregulated environment with the objective of maximizing GENCO’s profit and minimizing the operating cost. The problem formulation of the unit commitment takes into consideration t...

in this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. system uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. for handling uncertainties, monte carlo simulation is employed for generation several scenarios and then a reduction method is used to d...

In this paper a new integrated model of the dynamic environmental/economic dispatch (DEED) problem and emergency demand response program (EDRP) has been presented by which their interactions are investigated. DEED schedules the online generators power output over the whole dispatch period subject to some practical constraints so that the fuel costs and emission are optimized simultaneously. EDR...

This paper develops a modified economic dispatch (ED) optimization model with wind power penetration. Due to the uncertain nature of wind speed, both overestimation and underestimation of the available wind power are compensated using the up and down spinning reserves. In order to determine both of these two reserve demands, the risk-based up and down spinning reserve constraints are presented ...

This paper presents an efficient Water Evaporation Optimization algorithm (WEO) is proposed to solve a Dynamic Economic Dispatch problem (DED). The dynamic dispatch problem differs from the static economic dispatch problem by incorporating generator spinning reserve, ramp rate limits, and valve point loading and transmission losses. The proposed water evaporation optimization algorithm is based...