Optimal power scheduling of renewable energy systems in microgrids using distributed energy storage system

2016 ◽  
Vol 10 (9) ◽  
pp. 1328-1339 ◽  
Author(s):  
Shakti Singh ◽  
Mukesh Singh ◽  
Subhash Chandra Kaushik
Author(s):  
Yash Gupta

Abstract: As renewable energy penetration rises, integrating it will become a major issue that will necessitate new generating support infrastructure; an energy storage system is one answer to this problem. Battery technologies, in particular, have a wide range of energy and power output capabilities, making them perfect for integration. In many regions where renewable energy generation systems will be implemented, distributed energy storage on distribution grids may be required. When the sun is not shining or the weather is cloudy, an energy storage system is required for solar photovoltaic systems. For PV applications, a battery is used as an energy storage system. Keywords: Energy storage system, Battery, Simulink and modelling.


Author(s):  
Malek Belouda

The penetration of renewable energy systems in remote areas contributes to reply to its accrued demand of electricity. Renewable energy systems as photovoltaic generation systems and wind generation systems are characterized by their unpredictable and intermittent character presenting the main drawback of these systems. Although this advantage, the problems caused by the intermittency of these systems can be resolved by employing a battery energy storage system. To this end this paper proposes and analyses an efficient and optimal methodology dedicated to applications fed by renewable energy systems. Since an optimal energy storage bank sizing is needed in order to assure the continuity and reliability of electricity supply of remote areas from these kinds of energy sources. The first part of this article describes the renewable hybrid system structure and different factors influencing the storage system dimensioning. Different scenarios of renewable sources power generations in order to develop an optimal battery bank sizing algorithm are investigated the second part of this article. The formulation of the algorithm is finally presented and discussed.


Author(s):  
Peggy P. Ip ◽  
Sammy Houssainy ◽  
H. Pirouz Kavehpour

Undeveloped small hydropower generation sites are abundant throughout the water conveyance infrastructure and natural rivers in the United States. Due to its small scale, micro-hydro development requires substantial upfront capital costs, maintenance and operation costs for customized engineering and construction. The significant investments required for developing small hydropower are inhibiting for utilities, residential and commercial users to adopt. An inexpensive energy storage system and a well-designed power controls system can be integrated with small hydropower sites to increase its cost-effectiveness and reliability. This paper introduces the concept of storing low-power generated from small hydro turbines during long off-peak periods and dispatching at high-power as grid-quality electricity during peak periods. The use of an ultra-low cost thermal energy storage (ULCTES) system is examined. Boosting the power output for small hydro generation allows commercial users to avoid significant demand charges during operation, making small hydro an attractive cost saving strategy and therefore breaking down the cost barrier. The ULCTES operates much like a bulk power production unit and a peaker plant, in which it is capable of dispatching constant power over a long period during peak periods when conventional sources are unavailable. Improvements in system reliability and economic value are evaluated using microgrid optimization software HOMER Energy. In particular, two cases are studied with variations in types of end users and energy management goals. Energy costs savings, demand charges savings and renewable energy penetration are determined. Distributed energy storage systems are shown to reduce energy costs and increase the renewable energy penetration for commercial users. With ULCTES, microgrids have the flexibility to manage fluctuating renewable energy generation as well as respond to rapidly changing loads on a daily basis. A larger hydroelectricity system is shown to be more feasible with distributed energy storage systems for isolated users without any connection to the grid.


Author(s):  
Amir Ahadi ◽  
Shrutidhara Sarma ◽  
Jae Sang Moon ◽  
Jang Ho Lee

In recent years, integration of electric vehicles (EVs) has increased dramatically due to their lower carbon emissions and reduced fossil fuel dependency. However, charging EVs could have significant impacts on the electrical grid. One promising method for mitigating these impacts is the use of renewable energy systems. Renewable energy systems can also be useful for charging EVs where there is no local grid. This paper proposes a new strategy for designing a renewable energy charging station consisting of wind turbines, a photovoltaic system, and an energy storage system to avoid the use of diesel generators in remote communities. The objective function is considered to be the minimization of the total net present cost, including energy production, components setup, and financial viability. The proposed approach, using stochastic modeling, can also guarantee profitable operation of EVs and reasonable effects on renewable energy sizing, narrowing the gap between real-life daily operation patterns and the design stage. The proposed strategy should enhance the efficiency of conventional EV charging stations. The key point of this study is the efficient use of excess electricity. The infrastructure of the charging station is optimized and modeled.


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