9786139891382 - Demand Side Energy management System for SG Using Robust Optimization de N, Loganathan; Dr.K, Lakshmi; Dr.P.S, Mayurappriyan (9 resultados)

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Taschenbuch. Condición: Neu. Demand Side Energy management System for SG Using Robust Optimization | Loganathan N (u. a.) | Taschenbuch | 76 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139891382 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Energy management is to reduce energy consumption as well as to look for alternative sources of energy which are cheaper so as minimize the total cost of energy consumption. A cluster of interconnected price-responsive demands that can be supplied through the main grid and a stochastic Distributed Energy Resources (DERs). To solve this EMS problem an optimization algorithm based on Linear Programming (LP) approach has been implemented. The objective of the proposed method is to maximize the utilization of the cluster of demands when it is subjected to a set of constrains. This LP algorithm allows the cluster of demand to buy, store and sell energy at suitable times to adjust the hourly load level. To evaluate the performance of the proposed algorithm an IEEE 14 bus system was considered. Improvement in the method is optimization problem has two sources uncertainty related to both the production level of the DERs and the price of the energy obtained from/sold to the main grid is modeled using Robust Optimization techniques. Smart Grid technology is used to realize 2-way communication between the EMS and the main grid and between the EMS and the DERs. 76 pp. Englisch.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: N LoganathanN. Loganathan from Erode. I did my Bachelors of EEE at Regional Center of Anna University in Coimbatore (2012) and masters in Power Systems Engineering KSR at Tiruchedgode (2015). Currently, I have to work at Sri Krishna .

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Energy management is to reduce energy consumption as well as to look for alternative sources of energy which are cheaper so as minimize the total cost of energy consumption. A cluster of interconnected price-responsive demands that can be supplied through the main grid and a stochastic Distributed Energy Resources (DERs). To solve this EMS problem an optimization algorithm based on Linear Programming (LP) approach has been implemented. The objective of the proposed method is to maximize the utilization of the cluster of demands when it is subjected to a set of constrains. This LP algorithm allows the cluster of demand to buy, store and sell energy at suitable times to adjust the hourly load level. To evaluate the performance of the proposed algorithm an IEEE 14 bus system was considered. Improvement in the method is optimization problem has two sources uncertainty related to both the production level of the DERs and the price of the energy obtained from/sold to the main grid is modeled using Robust Optimization techniques. Smart Grid technology is used to realize 2-way communication between the EMS and the main grid and between the EMS and the DERs.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Energy management is to reduce energy consumption as well as to look for alternative sources of energy which are cheaper so as minimize the total cost of energy consumption. A cluster of interconnected price-responsive demands that can be supplied through the main grid and a stochastic Distributed Energy Resources (DERs). To solve this EMS problem an optimization algorithm based on Linear Programming (LP) approach has been implemented. The objective of the proposed method is to maximize the utilization of the cluster of demands when it is subjected to a set of constrains. This LP algorithm allows the cluster of demand to buy, store and sell energy at suitable times to adjust the hourly load level. To evaluate the performance of the proposed algorithm an IEEE 14 bus system was considered. Improvement in the method is optimization problem has two sources uncertainty related to both the production level of the DERs and the price of the energy obtained from/sold to the main grid is modeled using Robust Optimization techniques. Smart Grid technology is used to realize 2-way communication between the EMS and the main grid and between the EMS and the DERs.