Multi-Input Nonlinear Programming Based Deterministic Optimization Framework for Evaluating Microgrids with Optimal Renewable-Storage Energy Mix

Integration of renewable energy sources (RES) in a distribution network facilities the establishment of sustainable power systems. Concurrently, the incorporation of energy storage system (ESS) plays a pivotal role to maintain the economical significance as well as mitigates the technical liabilities associated with uncontrollable and fluctuating renewable output power. Nevertheless, ESS technologies require additional investments that imposes a techno-economic challenge of selection, allocation and sizing to ensure a reliable power system that is operationally optimized with reduced cost. In this paper, a deterministic cost-optimization framework is presented based on a multi-input nonlinear programming to optimally solve the sizing and allocation problem. The optimization is performed to obviate the demand-generation mismatch, that is violated with the introduction of variable renewable energy sources. The proposed optimization method is tested and validated on an IEEE 24-bus network integrated with solar and wind energy sources. The deterministic approach is solved using GAMS optimization software considering the system data of one year. Based on the optimization framework, the study also presents various different scenarios of renewable energy mix in combination with advanced ESS technologies to outline an technical as well as economical framework for ESS sizing, allocation, and selection. Based on the optimal results obtained, the optimal sizing and allocation were obtained for lead-acid, lithium-ion, nickel-cadmium and sodium-sulfur (NaS) battery energy storage system. While all these storage technologies mitigated the demand-generation mismatch with optimal size and location. However, the NaS storage technology was found to be the best among the given storage technologies for the given system minimum possible cost. Furthermore, it was observed that the cost of hybrid wind-solar mix system results in the lowest overall cost.

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Modeling an Energy Storage System Based on a Hybrid Renewable Energy System in Stand-alone Applications

Revista de Chimie ◽

10.37358/rc.17.11.5945 ◽

2017 ◽

Vol 68 (11) ◽

pp. 2641-2645

Author(s):

Alexandru Ciocan ◽

Ovidiu Mihai Balan ◽

Mihaela Ramona Buga ◽

Tudor Prisecaru ◽

Mohand Tazerout

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Storage Systems ◽

Renewable Energy Sources ◽

Storage System ◽

Energy Storage System ◽

Compressed Air ◽

Energy Sources ◽

Energy Storage Systems ◽

Hybrid Renewable Energy System

The current paper presents an energy storage system that stores the excessive energy, provided by a hybrid system of renewable energy sources, in the form of compressed air and thermal heat. Using energy storage systems together with renewable energy sources represents a major challenge that could ensure the transition to a viable economic future and a decarbonized economy. Thermodynamic calculations are conducted to investigate the performance of such systems by using Matlab simulation tools. The results indicate the values of primary and global efficiencies for various operating scenarios for the energy storage systems which use compressed air as medium storage, and shows that these could be very effective systems, proving the possibility to supply to the final user three types of energy: electricity, heat and cold function of his needs.

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Revolution of Energy Storage System in Smart Grids

Smart Grid as a Solution for Renewable and Efficient Energy - Advances in Environmental Engineering and Green Technologies ◽

10.4018/978-1-5225-0072-8.ch008 ◽

2016 ◽

pp. 181-206

Author(s):

Jianhui Wong ◽

Yun Seng Lim

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Smart Grid ◽

Electric Vehicles ◽

Renewable Energy Sources ◽

Storage System ◽

Energy Storage System ◽

Energy Sources ◽

Electrical Grid ◽

Technical Issues

Electrical grid is no longer featured in a conventional way nowadays. Today, the growing of new technologies, primarily the distributed renewable energy sources and electric vehicles, has been integrated with the distribution networks causing several technical issues. As a result, the penetration of the renewable energy sources can be limited by the utility companies. Smart grid has been emerged as one of the solutions to the technical issues, hence allowing the usage of renewable and improving the energy efficiency of the electrical grid. The challenge is to develop an intelligent management system to maintain the balance between the generation and demand. This task can be performed by using energy storage system. As part of the smart grid, the deployment of energy storage system plays a critical role in stabilizing the voltage and frequency of the networks with renewable energy sources and electric vehicles. This book chapter illustrates the revolution and the roles of energy storage for improving the network performance.

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