نتایج جستجو برای: Real-Time Pricing, Energy Management System (EMS), Uncertainty

تعداد نتایج: 4967524  

Journal: :international journal of smart electrical engineering 2013
mohammad-hossein shariatkhah mahmoud-reza haghifam mohammad-kazem sheikh-el-eslami

real-time pricing schemes make the customers to feel the energy price volatility and improve their load profiles. however, these schemes have no significant effect on demand-side uncertainty reduction. in this paper, considering smart grid infrastructures and smart building energy management system (ems), a new real-time pricing scheme is presented to reduce the uncertainty of demand-side. in t...

Real-time pricing schemes make the customers to feel the energy price volatility and improve their load profiles. However, these schemes have no significant effect on demand-side uncertainty reduction. In this paper, considering smart grid infrastructures and smart building Energy Management System (EMS), a new real-time pricing scheme is presented to reduce the uncertainty of demand-side. In t...

Journal: :Eng. Appl. of AI 2013
Javier Solano Martínez Jérôme Mulot Fabien Harel Daniel Hissel Marie-Cécile Péra Robert Ivor John Michel Amiet

The aim of this paper is to present experimental validation results of an energy management system for hybrid electrical vehicles based on type-2 fuzzy logic. The energy management system (EMS) is designed by extracting knowledge from several experts using surveys. The consideration of interval type-2 fuzzy sets enables modeling the uncertainty in the answers of the experts. The validation of t...

2015
Jihun Han Dongsuk Kum Youngjin Park

Under hilly road conditions, it is difficult to achieve near-optimal performance of energy management strategy (EMS) of fuel cell hybrid electric vehicle (FCHEV). In order to achieve near-optimality, optimal state reference trajectory is predicted based on future information, and thus reference tracking controller is often considered as real-time predictive EMS. There are two approaches dependi...

In this paper, a novel real time pricing design is presented for Demand Response (DR) programs. A Load Serving Entity (LSE) is responsible to provide energy for flexible loads, inflexible loads and thermal loads. The LSE consider operation conditions of system and uncertainty of renewable energy resources and it designs a Real Time Price (RTP) demand response. The inflexible and thermal loads c...

The significant penetration rate of wind turbines in power systems made some challenges in the operation of the systems such as large-scale power fluctuations induced by wind farms. Gas-fired plants with fast starting ability and high ramping can better handle natural uncertainties of wind power compared to other traditional plants. Therefore, the integration of electrical and natural gas syste...

Journal: :Frontiers in Energy Research 2023

Self-sustaining microgrids (MG) are now possible due to the integration of renewable energy and communication technology in utility. It is essential have an effective management system (EMS) because unpredictable response these resources, uncertainty load variations, market pricing. Only operational expenses been considered while discussing MG’s optimum operation so far. necessary examine poten...

2016
Raji Atia Noboru Yamada

Abstract: This paper considers the contribution of independent owners (IOs) operating within microgrids (MGs) toward green power generation in deregulated energy markets. An optimization scheme is introduced for sizing distributed renewable generation (DRG) and a distributed energy storage system (DESS) based on a novel energy management system (EMS) that accounts for demand response (DR), DESS...

Journal: :Smart cities 2023

A microgrid energy management system (EMS) with several generation and storage units is crucial in attaining stable reliable operation. Optimal scheduling of resources EMS becomes arduous due to uncertainty the forecasting intermittent renewable sources, electricity pricing, load demand. However, demand response (DR) approaches operational benefits framework can be maximized. In order improve c...

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