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نتیجه جستجو - Smart microgrid

تعداد مقالات یافته شده: 9
ردیف عنوان نوع
1 Intelligent energy management in off-grid smart buildings with energy interaction
مدیریت انرژی هوشمند در ساختمانهای هوشمند خارج از شبکه با تعامل انرژی-2020
The energy interaction between smart homes can be a solution for developing renewable energy systems in residential sections and optimal energy consumption in homes. The main objectives of such energy interactions are to increase consumer participation in energy management‘ boost economic efficiency‘ increase the user’s satisfaction by choosing between electricity sellers and buyers‘ and reduce the electricity purchased from the grid especially at peak hours. Thus, the innovations of this study includes defining an energy exchange method between smart buildings in an off-grid mode considering renewable energy systems, considering both thermal and electrical equilibrium and studying the lightning loads. it is assumed, here, that smart homes are off-grid‘ and the critical loads are supplied by the energy transfer between the homes using mixed integer linear programming. A compromise between the cost and time interval for using home appliances is considered to provide consumer’s comfort. An objective function is introduced considering programmable and non-programmable loads‘ thermal and electrical storages and lighting loads aiming to optimize the cost of energy between different smart buildings. Based on the method, which is tested in two different cases not only does the total cost of the smart buildings decrease but also the cost is reduced significantly when lightning loads are managed.
Keywords: Energy management | Smart homes | Smart microgrid | Energy storage system | Wind turbine
مقاله انگلیسی
2 Techno-economic evaluation of PV based institutional smart microgrid under energy pricing dynamics
ارزیابی فنی و اقتصادی میکروگرید هوشمند نهادی مبتنی بر PV تحت پویایی قیمت گذاری انرژی-2020
The solar photovoltaic (PV) system with battery energy storage have a lot of potential to provide reliable and cost-effective electricity and to contribute in micro-grid operation. However, the operational performance of such type of micro-grid system depends on many factors (e.g. techno-economic sizing, energy management among the sources, market energy prices dynamics, energy dispatch strategies, etc.). In this paper, a typical Indian institutional energy system has considered for techno-economic performance evaluation for operating as a smart micro-grid under market energy pricing dynamics. The institutional energy system has integrated PV, battery storage and DG for operating as a smart microgrid. An operational energy dispatch strategy for micro-grid has proposed and evaluated for maximizing the local energy resources utilization with contemplation of peak demand and grid outage conditions under market energy pricing dynamics. With techno-economic sizing of PV, battery and DG of considered system; the peak demand has reduced by 10%, DG contribution by 92% and annual energy savings by 45% compare to operation of base system. With proposed energy management strategy, the annual battery energy throughput has increased from 0.4% to 10%, and the DG’s contribution has decreased from 7% to 5% with 10% reduction in levelized cost of energy (CoE) compare to case with techno-economic sizing of PV, battery and DG for considered system. With inclusion of electrical energy pricing dynamics scenario, it has observed that the CoE has increased by 89% with change in time-of-use (ToU) tariff from 100% to 200% and considering energy-selling price to the grid at 100%. However, 8% reduction in the CoE has observed, when the energy-selling price to grid has increased from 100% to 200% at ToU of 100%. The results from this work are going to be useful for developing electrical tariff policies for promoting the PV based institutional micro-grid system under market energy pricing dynamics.
Keywords: Smart micro-grid | Market energy pricing dynamics | Techno-economics | Solar photovoltaic | Energy management strategy
مقاله انگلیسی
3 Optimal energy management in the smart microgrid considering the electrical energy storage system and the demand-side energy efficiency program
مدیریت بهینه انرژی در میکروگرید هوشمند با توجه به سیستم ذخیره انرژی الکتریکی و برنامه بهره وری انرژی طرف تقاضا-2020
Smart MicroGrids (MGs) are known as a powerful platform for exploiting the Electrical Energy Storage Systems (EESSs). On the other hand, the Energy Efficiency Programs (EEPs) are recognized as an integral and highly valuable element of smart MGs investments and operations. While the EEPs are known to be long-term programs, they affect the short-term programs such as day ahead energy management. In this paper, the optimal energy management program model associated with EESSs and EEPs namely EMPEESSs EEPs has been proposed. The problem takes the investment rate on the EEPs into account while solving optimal energy management problem. To do this, the EEPs have been applied to the demand model. Furthermore, the proposed demand model has been used in the optimal energy management of the smart microgrids. The proposed objective function has been modeled as Mixed Integer Non-Linear Programming (MINLP) for the optimal energy management. Moreover, the GAMS software is used to solve the formulated optimization problem. The results of different scenarios confirm that the EEPs and EESSs are effective programs for the smart MGs energy management. The results are analyzed, and the best cost optimal solution is identified.
Keywords: Energy Efficiency Programs (EEPs) | Electrical demand | Thermal demand | Distributed Generation (DG) | Energy storage | Energy management
مقاله انگلیسی
4 A new stochastic gain adaptive energy management system for smart microgrids considering frequency responsive loads
یک دستاورد تصادفی جدید سیستم مدیریت انرژی تطبیقی ​​برای میکروگریدهای هوشمند با توجه به بارهای پاسخگو فرکانس-2020
Islanded microgrids as flexible, adaptive and sustainable smart cells of distribution power systems should be operated in accordance to both techno-economic purposes. Motivated by this need, the microgrid operators are in charge to elevate the active accommodation of both demand-side and supply-side distributed energy resources. To that end, in this paper, a new flexible frequency dependent energy management system is proposed through which distributed generators have time varying droop controllers with a gain-adaptive strategy. Besides to cope economically with uncertainty arise frequency excursions, a new, comfort-aware and versatile frequency dependent demand response program is mathematically formulated and conducted to the energy management system. It is aimed to co-optimize the microgrid energy resources such a way the day-ahead operational costs are managed subject to a secure frequency control portfolio. The presented model is solved using a two-stage stochastic programming and by a tractable efficient mixed integer linear programming approach. The simulation results are derived in 24-h scheduling time horizon and implemented on a typical test microgrid. The effectiveness of the proposed hourly gain assignment and frequency responsive load management program has been verified thoroughly by analyzing the results.
Keywords: Hierarchical control structure | Islanded microgrids | Droop gain scheduling | Frequency responsive loads | Two-stage stochastic optimization
مقاله انگلیسی
5 Design and Accomplishment of AI Control Strategy with API in Nearly Zero Energy Building Smart Grid
طراحی و تحقق استراتژی کنترل هوش مصنوعی با API در شبکه هوشمند ساخت تقریباً صفر انرژی-2020
With the development of the nearly zero energy buildings (NEZB) technology, people have higher and higher requirements for power management, for heat recovery efficiency. In this paper, design and accomplishment of artificial intelligent (AI) control strategy with application program interface (API) protocol based on NEZB in smart microgrid were proposed. The structure of supervisory control and data acquisition (SCADA) system was designed to achieve online monitoring of energy consumption and environment parameters. The control strategy of power management and heat recovery efficiency were carried out. Finally, the proposed control strategy of smart microgrid is adopted in the actual project and applied to several NEZB.
Keywords : AI control strategy | API protocol | nearly zero energy building | heat recovery efficiency | smart microgrid
مقاله انگلیسی
6 Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø
برنامه ریزی انرژی از یک ریز شبکه هوشمند با پانل های فتوولتائیک مشترک و ذخیره سازی: پرونده مارینا بالن در سامسوی-2020
This paper focuses on the Model Predictive Control (MPC) based energy scheduling of a smart microgrid equipped with non-controllable (i.e., with fixed power profile) and controllable (i.e., with flexible and programmable operation) electrical appliances, as well as photovoltaic (PV) panels, and a battery energy storage system (BESS). The proposed control strategy aims at a simultaneous optimal planning of the controllable loads, the shared resources (i.e., the storage system charge/discharge and renewable energy usage), and the energy exchange with the grid. The control scheme relies on an iterative finite horizon on-line optimization, implementing a mixed integer linear programming energy scheduling algorithm to maximize the self-supply with solar energy and/or minimize the daily cost of energy bought from the grid under time-varying energy pricing. At each time step, the resulting optimization problem is solved providing the optimal operations of controllable loads, the optimal amount of energy to be bought/sold from/to the grid, and the optimal charging/discharging profile for the BESS. The proposed energy scheduling approach is applied to the demand side management control of the marina of Ballen, Samsø (Denmark), where a smart microgrid is currently being implemented as a demonstrator in the Horizon2020 European research project SMILE. Simulations considering the marina electric consumption (340 boat sockets, a service building equipped with a sauna and a wastewater pumping station, and the harbour master’s office equipped with a heat pump), PV production (60kWp), and the BESS (237 kWh capacity) based on a public real dataset are carried out on a one year time series with a 1 h resolution. Simulations indicate that the proposed approach allows 90% exploitation of the production of the PV plant. Furthermore, results are compared to a naïve control approach. The MPC based energy scheduling improves the self-supply by 1.6% compared to the naïve control. Optimization of the business economy using the MPC approach, instead, yields to 8.2% savings in the yearly energy cost with respect to the naïve approach
Keywords: Microgrid | Demand side management | Renewable energy | Energy storage | Energy management | On-line scheduling | Model predictive control | Optimization algorith
مقاله انگلیسی
7 Development of Battery Monitoring System in Smart Microgrid Based on Internet of Things (IoT)
توسعه سیستم مانیتورینگ باتری در ریز شبکه های هوشمند مبتنی بر اینترنت از اشیاء-2017
In this paper, battery monitoring system based on internet of things (IoT) has been developed to monitor the operational and performance of batteries in a smart microgrid system. This smart microgrid includes a battery pack, PV system, Intelligent Electronic Device (IED) hybrid inverter, grid connection and electricity load. The IoT developed in this work consists of a communication channel from and to IED, data acquisition algorithm, cloud system and Human Machine Interface (HMI). Data acquisition was scheduled to execute every minute as mentioned in IEC61724. The battery monitoring system information as part of battery management system (BMS) is displayed on a Human Machine Interface (HMI) using ExtJS / HTML5 framework which can be accessed using desktop or mobile devices. From analytical results, the average execution time for overall BMS-IoT based data acquisition to the cloud server is 19.54 ± 18.00 seconds. The result of availability monitored data in the cloud database server is 92.92 ± 6.00 percent, which shows satisfactory result for the reliability of BMS-IoT system data acquisition.
Keywords: battery monitoring system | smart microgrid | communication protocol | battery system | internet of things
مقاله انگلیسی
8 مدیریت بهینه ریز شبکه های هوشمند نامتعادل با قید کیفیت توان در طول چند انتقال زمان بندی شده بین حالت های متصل به شبکه و جزیره ای
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 8 - تعداد صفحات فایل doc فارسی: 26
در سال های اخیر کیفیت توان تحویل شده به مصرف کنندگان توجه زیادی را به خود جلب کرده است. در ریز شبکه ها که شامل بارها، تولید حاصل از منابع متداول و تجدید پذیر و ادوات ذخیره انرژی (ES) هستند، وجود بارهای غیر خطی می تواند منجر به آلودگی هارمونیکی در ولتاژهای شین دیگر اعضای ریز شبکه شود. این مسأله می تواند منجر به اثرات نامطلوبی مانند گرما، گشتاورهای توالی منفی و عملکرد نادرست ادوات حفاظتی شود. اگر برخی اعضای ریز شبکه نسبت به هارمونیک های ولتاژ حساس باشند، کیفیت توان تحویلی باید در الگوریتم های بهینه سازی ریز شبکه مورد توجه قرار گیرد. سیستم مدیریت انرژی (EMS) مسئول بهینه سازی متمرکز عملکرد ریز شبکه است. بهینه سازی هوشمند بارها توسط بهینه کردن مقادیر و بازه های تبادل توان و کاهش توان، پاسخ تقاضا (DR) نامیده می شود [1]-[3].
کلمات کلیدی: کیفیت توان (PQ) | پاسخ تقاضا (DR) | پخش بار بهینه توزیع (DOPF).
مقاله ترجمه شده
9 A control strategy for microgrid inverters based on adaptive three-order sliding mode and optimized droop controls
یک استراتژی کنترل برای اینورترهای شبکه میکرو بر اساس حالت کشویی تطبیقی سه مرتبه و کنترل افت بهینه سازی-2014
Robust control and seamless formation are the two crucial problems that affect smart microgrids. This paper proposes a new solution for microgrid inverters in terms of circuit topology and control struc ture. The combined three-phase four-wire inverter, which is composed of three single-phase full-bridge circuits, is adopted in this study. The control structure is based on the inner adaptive three-order sliding mode closed-loop, the immediate virtual output-impedance loop, and the outer power control loop. Three significant contributions are obtained: (1) the microgrid inverters effectively reject both voltage and load disturbances with the adaptive sliding-mode controllers regardless of whether the inverters are operating in the grid-connected mode, islanding mode, or transition from the grid-connected mode to the islanding mode; (2) the virtual output impedance loop is applied to make a resistive equivalent output impedance of the inverters and to meet the requirements of the inverter parallel operation in the islanding mode; (3) the proposed droop method reduces the line inductive impedance effects and improves the power sharing accuracy by optimizing the droop coefficients. The theoretical analysis and test results validate the effectiveness of the proposed control scheme Keywords: Microgrid inverter Distributed generation (DG) Adaptive three-order sliding-mode control Droop control Disturbance rejection Nonlinear load
مقاله انگلیسی
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