فهرس المقالات Energy management system

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  1 - Optimal Economic Operation and Battery Sizing for Microgrid Energy Management Systems Considering Demand Response
  Mehdi Mohammadjafari Reza Ebrahimi Vahid Parvin Darabad
  Microgrids (MGs) contain a diverse mix of energy resources to provide safe and secure power to the consumers. Batteries are utilized in MGs for further energy security assurance as well as cost minimization. In this paper, an efficient approach is introduced for simulta أکثر

  Microgrids (MGs) contain a diverse mix of energy resources to provide safe and secure power to the consumers. Batteries are utilized in MGs for further energy security assurance as well as cost minimization. In this paper, an efficient approach is introduced for simultaneous energy management and optimal battery sizing to accomplish economic MG operation. Also, demand response programs are employed to further reduce MG operation costs (OCs) and strike a balance between supply and demand. The objectives sought in this context are the optimal values for DG generation levels, level of consumer participation and the respective incentive payments, battery charge and discharge levels and the amount of power exchange with upstream network within a 24-hour scheduling cycle so as to minimize OCs and maximize MG operator’s (MGO) profit as a result of demand response. In order to address the hybrid energy management system (EMS) and battery sizing problem, the proposed model is solved using whale optimization algorithm (WOA) in MATLAB software for a grid-connected MG. The results indicate that battery charge and discharge is significantly lowered through optimal battery sizing incorporated into the proposed approach. تفاصيل المقالة
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  2 - Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm
  Farhad Nourozi Navid Ghardash khani
  The household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model أکثر

  The household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model based on the time of usage pricing planning with renewable energy systems is proposed to use the energy more efficiently. The new meta-heuristic whale optimization algorithm (WOA) and the common meta-heuristic of particle swarm optimization (PSO) are used to achieve that. To improve the performance, a mapping chaos theory (CWOA) is proposed. Also, an independent solar energy source is used as a support of the microgrid to achieve a better performance. It is concluded that the energy saving achieved by the proposed algorithm is able to decrease the electricity bill by about 40-50% rather than the WOA and PSO methods. The proposed system is simulated in MATLAB environment. تفاصيل المقالة
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  3 - A New Real-Time Pricing Scheme Considering Smart Building Energy Management System
  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 buil أکثر

  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 the proposed method, EMS announces its electric demand during each period of next day to the retailer. The price of energy for the pre-specified amounts is day-ahead price, but any deviation from this amount is settled through spot market price will be determined several minutes before the corresponding period by retailer. Numerical results of an illustrative example are implemented to demonstrate how this scheme makes motivation in customers to reduce their demand uncertainties تفاصيل المقالة
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  4 - Designing Decision Maker in a Smart Home for Energy Consumption Optimization Using Fuzzy Modeling
  Maryam Sadat Mahdaviyani Mehrdad Javadi
  existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept أکثر

  existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amount of energy saving, monitoring and automation of electricity grids. These grids give necessary information about the cost of power consumption to the users and it is possible that subscribers change their consumption power amount based on a balance between requested power and electricity grid. Since smart home in a form of environment where all control systems were designed in a pre-defined logical framework, so it can be introduced as a solution to reduce energy consumption through controlling equipment based on function schedule charts. In this paper, an approach has been presented to optimize energy consumption which decision maker model is designed in order to reduce cost and to increase user utility. Indeed designed home energy management system select optimum duration about how to use the equipment by using fuzzy modelling تفاصيل المقالة
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  5 - Robustness Energy Management Module Design for Smart Homes concerning Operation Uncertainty of PVs and WTs Resources
  Fatemeh Mohammadi Faramarz Faghihi Ahad Kazemi Amirhossein Salemi
  Technology development and increase in residential energy consumption cause moving toward automation and smart home (SH) to be inevitable. Recently, PVs and WTs resources attachment and CHP and Battery energy storage to SH equipment come to some challenges such as outpu أکثر

  Technology development and increase in residential energy consumption cause moving toward automation and smart home (SH) to be inevitable. Recently, PVs and WTs resources attachment and CHP and Battery energy storage to SH equipment come to some challenges such as output power uncertainty to the energy management system (EMS). Usually, SH has a connection to the city distribution system and can buy or sell energy from or to the utility at the appropriate time. Therefore, this paper presents the new robustness of SH EMS considering real-time energy pricing at the retail power market, which is solved using genetic algorithm technique. The objective function is the summation of CHP emission cost and energy consumption cost for non-interruptible, interruptible and thermostatic loads. Finally, simulation results and numerical studies are applied on test SH, and conceptual results are discussed. تفاصيل المقالة