scholarly journals Efficient Energy Management in a Microgrid with Intermittent Renewable Energy and Storage Sources

2019 ◽  
Vol 11 (14) ◽  
pp. 3839 ◽  
Author(s):  
Makbul A.M. Ramli ◽  
H.R.E.H. Bouchekara ◽  
Abdulsalam S. Alghamdi
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Energy Management ◽  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Sporting Events ◽  
Battery Storage ◽  
Large Power ◽  
And Storage ◽  
Different Sources

Substituting a single large power grid into various manageable microgrids is the emerging form for maintaining power systems. A microgrid is usually comprised of small units of renewable energy sources, battery storage, combined heat and power (CHP) plants and most importantly, an energy management system (EMS). An EMS is responsible for the core functioning of a microgrid, which includes establishing continuous and reliable communication among all distributed generation (DG) units and ensuring well-coordinated activities. This research focuses on improving the performance of EMS. The problem at hand is the optimal scheduling of the generation units and battery storage in a microgrid. Therefore, EMS should ensure that the power is shared among different sources following an imposed scenario to meet the load requirements, while the operational costs of the microgrid are kept as low as possible. This problem is formulated as an optimization problem. To solve this problem, this research proposes an enhanced version of the most valuable player algorithm (MVPA) which is a new metaheuristic optimization algorithm, inspired by actual sporting events. The obtained results are compared with numerous well-known optimization algorithms to validate the efficiency of the proposed EMS.

scholarly journals Estimation of Energy Activity and Flexibility Range in Smart Active Residential Building

Smart Cities ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 471-495
Author(s):  
Viktor Stepaniuk ◽  
Jayakrishnan Pillai ◽  
Birgitte Bak-Jensen ◽  
Sanjeevikumar Padmanaban
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Storage Tank ◽  
Residential Buildings ◽  
Renewable Energy Sources ◽  
Hot Water ◽  
Active Management ◽  
Worst Case ◽  
And Storage ◽  
Storage Units

The smart active residential buildings play a vital role to realize intelligent energy systems by harnessing energy flexibility from loads and storage units. This is imperative to integrate higher proportions of variable renewable energy generation and implement economically attractive demand-side participation schemes. The purpose of this paper is to develop an energy management scheme for smart sustainable buildings and analyze its efficacy when subjected to variable generation, energy storage management, and flexible demand control. This work estimate the flexibility range that can be reached utilizing deferrable/controllable energy system units such as heat pump (HP) in combination with on-site renewable energy sources (RESs), namely photovoltaic (PV) panels and wind turbine (WT), and in-house thermal and electric energy storages, namely hot water storage tank (HWST) and electric battery as back up units. A detailed HP model in combination with the storage tank is developed that accounts for thermal comforts and requirements, and defrost mode. Data analytics is applied to generate demand and generation profiles, and a hybrid energy management and a HP control algorithm is developed in this work. This is to integrate all active components of a building within a single complex-set of energy management solution to be able to apply demand response (DR) signals, as well as to execute all necessary computation and evaluation. Different capacity scenarios of the HWST and battery are used to prioritize the maximum use of renewable energy and consumer comfort preferences. A flexibility range of 22.3% is achieved for the scenario with the largest HWST considered without a battery, while 10.1% in the worst-case scenario with the smallest HWST considered and the largest battery. The results show that the active management and scheduling scheme developed to combine and prioritize thermal, electrical and storage units in buildings is essential to be studied to demonstrate the adequacy of sustainable energy buildings.

scholarly journals Operating Performance of Power Systems Integrated HVDC Solution: KonTum-GiaLai Transmission System Case Considering Penetration of Renewable Energy

2020 ◽  
Vol 18 (4.2) ◽  
pp. 32
Author(s):  
Kim Hung Le ◽  
Ngoc Thien Nam Tran ◽  
Viet Tri Nguyen ◽  
The Khanh Truong ◽  
Minh Quan Duong
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
High Voltage ◽  
Short Circuit ◽  
Renewable Energy Sources ◽  
Transmission Efficiency ◽  
Transmission System ◽  
Large Power ◽  
Hvdc System ◽  
Hvdc Transmission

The increasing demand for electricity along with the development of distributed generators showed that improving transmission efficiency and reliability is an indispensable requirement in the operation of the power system. Advanced technologies need to be applied to modern power systems for purposes of conveying large power flows, mitigating the risk of faults. High-voltage direct current (HVDC) transmission is now considered an effective solution for investment in large-length power lines, replacing the conventional high-voltage alternative current (HVAC) transmission system, especially in period of increasing generation capacity due to the penetration of renewable energy sources. This study assesses the performance of the HVDC system on an actual power grid based on planning and improvement demands. The calculation results of power flows, power losses and short-circuit faults were investigated using ETAP software X  

scholarly journals A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5095 ◽  
Author(s):  
Abdulla Al Wahedi ◽  
Yusuf Bicer
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Battery Storage ◽  
Charging Station ◽  
Optimal Energy ◽  
Production Of Hydrogen ◽  
Fast Charging ◽  
Optimal Energy Management ◽  
Fast Charging Station

E-Mobility deployment has attained increased interest during recent years in various countries all over the world. This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from this sector. To secure the electricity required to satisfy Electric Vehicles’ (EVs’) charging needs without expanding or overloading the existing electricity infrastructure, stand-alone charging stations powered by renewable sources are considered as a reasonable solution. This paper investigates the simulation of the optimal energy management of a proposed grid-independent, multi-generation, fast-charging station in the State of Qatar, which comprises hybrid wind, solar and biofuel systems along with ammonia, hydrogen and battery storage units. The study aims to assess the optimal sizing of the solar, wind and biofuel units to be incorporated in the design along with the optimal ammonia, hydrogen and battery storage capacities to fulfill the daily EV demand in an uninterruptable manner. The main objective is to fast-charge a minimum of 50 EVs daily, while the constraints are the intermittent and volatile nature of renewable energy sources, the stochastic nature of EV demand, local meteorological conditions and land space limitations. The results show that the selection of a 468 kWp concentrated photovoltaic thermal plant, 250 kW-rated wind turbine, 10 kW biodiesel power generator unit and 595 kWh battery storage system, along with the on-site production of hydrogen and ammonia, to generate 200 kW power via fuel cells can achieve the desired target, with a total halt of on-site hydrogen and ammonia production during October and November and 50% reduction during December.

scholarly journals A Review of Low-Voltage Renewable Microgrids: Generation Forecasting and Demand-Side Management Strategies

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2093
Author(s):  
Miguel Aybar-Mejía ◽  
Junior Villanueva ◽  
Deyslen Mariano-Hernández ◽  
Félix Santos ◽  
Angel Molina-Garcia
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Distributed Generation ◽  
Low Voltage ◽  
Renewable Energy Sources ◽  
Demand Management ◽  
Management Strategies ◽  
Renewable Resource ◽  
Distribution Networks ◽  
Management Systems

It is expected that distribution power systems will soon be able to connect a variety of microgrids from residential, commercial, and industrial users, and thus integrate a variety of  distributed generation technologies, mainly renewable energy sources to supply their demands. Indeed, some authors affirm that distribution networks will propose significant changes as a consequence of this massive integration of microgrids at the distribution level. Under this scenario, the control of distributed generation inverters, demand management systems, renewable resource forecasting, and demand predictions will allow better integration of such microgrid clusters to decongest power systems. This paper presents a review of  microgrids connected at distribution networks and the solutions that facilitate their integration into such distribution network level, such as demand management systems, renewable resource forecasting, and demand predictions. Recent contributions focused on the application of microgrids in Low-Voltage distribution networks are also analyzed and reviewed in detail. In addition, this paper provides a critical review of the most relevant challenges currently facing electrical distribution networks, with an explicit focus on the massive interconnection of electrical microgrids and the future with relevant renewable energy source integration.

scholarly journals Technical and Economic Assessment of Micro-Cogeneration Systems for Residential Applications

2020 ◽  
Vol 12 (3) ◽  
pp. 1074 ◽  
Author(s):  
Pavel Atănăsoae
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Renewable Energy Sources ◽  
Environmental Benefits ◽  
Energy Sources ◽  
Reference Scenario ◽  
Large Power ◽  
Small Power ◽  
Public Network ◽  
Individual Household

The benefits of cogeneration or combined heat and power (CHP) of large power systems are well proven. The technical and economic viability of micro-cogeneration systems is discussed in this paper as it compares to the separate production of electricity and heat. A case study for an individual household is also provided to better understand the benefits of small power cogeneration from renewable energy sources. Two micro-CHP systems are considered for analysis: the first with Stirling engine, and the second with Rankine Organic Cycle. The reference scenario is an individual household with a gas boiler and electricity from the public network. The results show that it is possible that the payback period for the micro-CHP from renewable energy sources will fall below the accepted average value (<15 years) without the support schemes. The economic and environmental benefits of small power cogeneration systems compared to the traditional scenario are highlighted.

scholarly journals Advanced energy management system based on PV and load forecasting for load smoothing and optimized peak shaving of islanded power systems

2019 ◽  
Vol 113 ◽  
pp. 03001
Author(s):  
Petros Iliadis ◽  
Stefanos Domalis ◽  
Athanasios Nesiadis ◽  
Konstantinos Atsonios ◽  
Spyridon Chapaloglou ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
Energy System ◽  
Load Curve ◽  
Dynamic Simulations ◽  
Peak Shaving ◽  
Conventional Fuel

Photovoltaic (PV) systems constitute one of the most promising renewable energy sources, especially for warm and sunny regions like the southern-European islands. In such isolated systems, it is important to utilize clean energy in an optimal way in order to achieve high renewable penetration. In this operational strategy, a Battery Energy Storage System (BESS) is most often used to transfer an amount of the stored renewable energy to the peak hours. This study presents an integrated energy management methodology for a PV-BESS energy system targeting to make the load curve of the conventional fuel based units as smooth as possible. The presented methodology includes prediction modules for short-term load and PV production forecasting using artificial neural, and a novel, optimized peak shaving algorithm capable of performing each day’s maximum amount of peak shaving and smoothing level simultaneously. The algorithm is coupled with the overall system model in the Modelica environment, on the basis of which dynamic simulations are performed. The simulation results are compared with the previous version of the algorithm that had been developed in CERTH, and it is revealed that the system’s performance is drastically improved. The overall approach proves that in such islanding systems, a PV-BESS is a suitable option to flatten the load of the conventional fuel based units, achieve steadier operation and increase the share of renewable energy penetration to the grid.

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