Multi Objective Scheduling of Utility-scale Energy Storages and Demand Response Programs Portfolio for Grid Integration of Wind Power

Increasing the penetration of variable wind generation in power systems has created some new challenges in the power system operation. In such a situation, the inclusion of flexible resources which have the potential of facilitating wind power integration is necessary. Demand response (DR) programs and emerging utility-scale energy storages (ESs) are known as two powerful flexible tools that can improve large-scale integration of intermittent wind power from technical and economic aspects. Under this perspective, this paper proposes a multi objective stochastic framework that schedules conventional generation units, bulk ESs, and DR resources simultaneously with the application to wind integration. The proposed formulation is a sophisticated problem which coordinates supply-side and demand-side resources in energy and up/down spinning reserve markets so that the cost, emission, and multi objective functions are minimized separately. In order to determine the most efficient DR program which can potentially coordinate with bulk ESs in the system with a significant amount of wind power, a comprehensive DR programs portfolio including time- and incentive-based programs is designed. Afterwards, strategy success index (SSI) is employed to prioritize DR programs from independent system operator (ISO) perspective. The IEEE-RTS is used to reveal the effectiveness of the proposed method

Assessment of genetic relationships among cultivated and wild pistachios (Pistacia vera L.) using molecular markers

Iran is one of the main diversity centers and origins of pistachios in the world. Pistachio cultivation spread first within the ancient Persian Empire and then moved gradually westward. Knowledge of the genetic relationships among wild and cultivated varieties of pistachio is important for the efficient utilization of the available germplasm resources. Three molecular marker strategies, namely, inter-simple sequence repeat (ISSR), inter-retrotransposon amplified polymorphism (IRAP), and retrotransposon microsatellite amplified polymorphism (REMAP), were used to study the genetic relationships among 35 pistachio accessions including 15 wild-type genotypes of Pistacia vera and 20 important cultivars from Iran. According to the results, high levels of polymorphism were observed for all three marker systems. REMAP and IRAP techniques had the higher mean values of genetic relationships parameters than ISSR technique. The results from this study showed that the 5′LTR2, Sukkula, Sukkula + UBC855, and 5′LTR2 + UBC811 primers were the most informative and could be used to evaluate the genetic relationships of pistachios accessions. Cluster analysis using the unweighted pair group method with arithmetic mean (UPGMA) properly separated the accessions and divided them into four main groups. The presence of most cultivated genotypes in a group indicates genetic erosion of cultivated pistachio in Iran. Wild-type genotypes of P. vera are located in different clusters indicating the high diversity of the genotypes. The results provide useful genetic information about wild pistachios in northeastern of Iran and indicate that the use of wild pistachios in breeding programs could be useful for generating new genotypes with interesting characters

Customer behavior based demand response model

An important benefit of demand response (DR) is avoided need to build power plants to serve heightened demand that occurs in just a few hours per year. There are two basic categories of DR options: price-based and incentive-based DR programs. In this paper, both categories of DR measures are modeled based on the demand-price elasticity concept. It has been shown that customers' reaction against implementing price-based or incentive-based DR programs are not similar, so that incentive-based programs have key impact on customer habit formation in response to DR programs. An improved DR model is developed which considers the customer's behavior. The proposed model extinguishes between customers' behavior with respect to electricity price change and his/her behavior against variation of incentive. The performance of the model has been justified by implementation on the IEEE reliability test system

Application of multi-criteria decision-making for optimizing the formulation of functional cookies containing different types of resistant starches: A physicochemical, organoleptic, in-vitro and in-vivo study

This research aimed to develop a healthy cookie formulation containing different types of resistant starch, through the application of TOPSIS approach, as a potent feature of MCDM methodologies. Physicochemical investigations reveled that a harder, denser and less sticky dough was produced by the addition of both types of RS. The baking of these doughs resulted in the production of crumblier cookies of less spread ratio, lower porous crumb and whiter surface/crumb. Moreover, in-vitro digestibility of the cookies demonstrated that the baking process can adversely reduce the resistance of RS4 to the enzymolysis reactions. This phenomenon was further corroborated by in-vivo studies where the RS4 enriched cookies were less capable in reducing the postprandial blood glucose. TOPSIS, through successful solving of the multiple criteria decision 9 (alternatives) � 15 (evaluated attributes) matrix suggested that the cookie containing 15 RS is the best alternative in all aspects, possessing acceptable physicochemical/organoleptic attributes, and in-vivo/in-vitro dietary fiber. © 2022 Elsevier Lt

An improved incentive-based demand response program in day-ahead and intra-day electricity markets

info:eu-repo/semantics/publishe

Les impacts informationnels occasionnes par l'emission de bons de souscription d'actions sur la valeur du titre sous-jacent

Available at INIST (FR), Document Supply Service, under shelf-number : DO 4748 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueSIGLEFRFranc