Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm

Haidar, Ahmed M. A.; Fakhar, Adila; Helwig, Andreas

doi:10.1016/j.scs.2020.102391

Cited by 78 publications

(27 citation statements)

References 30 publications

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“…The microgrid allows users to decide on setting the time and amount of consumption [2]. Generally, demand-side management in microgrids can be carried out using a smart optimization process [5].…”

Section: Computer Science Computational Methods Algorithms and Artificial Intelligence Sessionmentioning

confidence: 99%

Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Kömürgöz¹,

Keles²

2021

Proceedings of the International Scientific Conference - Sinteza 2021

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Energy management systems can provide a variety of features and services to prosumers. One of its most important functions is to determine cost-effective energy mixing rates by evaluating the unit price and power of energy resources. This study mainly proposes a hybrid optimization based on two heuristic algorithms: Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms. A hybrid ABC-PSO algorithm has been applied to solve the energy efficient multi-source energy mixing problem in Matlab. The proposed algorithm has been tested in the simulation of an energy management system including a grid, solar panel, wind turbine, and storage unit. The results show that the proposed algorithm responds appropriately to meet the hourly changing demand of the consumer in cases of energy production fluctuations in renewable energy sources and dynamic electricity price tariff implementation of the grid. This method can provide cost efficiency by maintaining the energy balance of consumers in smart grids. The algorithm has a simple structure, thus the method provides a solution for low-cost energy management applications in the microgrid.

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Section: Computer Science Computational Methods Algorithms and Artificial Intelligence Sessionmentioning

confidence: 99%

Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Kömürgöz¹,

Keles²

2021

Proceedings of the International Scientific Conference - Sinteza 2021

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“…Most researchers formulated the resource planning problem as a mixed-integer non-linear problem (MINLP), which minimizes the investment cost. In [4], a study on energy planning of microgrids is performed by minimizing the overall cost using HOMER and PSCAD software. The authors of [11] presented a microgrid planning study on primary distribution systems using a genetic algorithm.…”

Section: B Relevant Literaturementioning

confidence: 99%

Techno-Economic Framework for Optimal Capacity Expansion of Active Microgrid in the Mediterranean: A Case Study of MCAST

Jately

Azzopardi

2021

IEEE Access

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The purpose of microgrids is to improve system flexibility and resilience during normal and emergency conditions. The ceaseless load growth mandates to increase microgrid's capacity, thereby improving the system flexibility and resilience. However, capacity expansion requires significant investments, making it essential to identify the optimal capacity of energy resources. The methodologies proposed in the literature identifies the microgrid's capacity with an assumption of investments with a single installment. This way of theoretical approach leads to unrealistic solutions. Besides, microgrid's participation in a flexible market will enhance its performance both in commercial and technical aspects. Therefore, this paper proposes a realistic framework with the concept "expansion through time" inspired by "Real Options Theory." This framework includes practical parameters like resource & load uncertainty, physical space required to install, revenue generated by resources, and maximum demand penalty, on top of electrical parameters; constrained with significant return in investments to improve the overall savings. In addition, this paper proposes a market participation model for microgrid, which defines a bidding process with two components, such as regular and flexible portions under both normal and extreme conditions. This study considers renewable-based energy resources like solar-photovoltaic plants (SPPs) and battery energy storage systems (BESSs) as microgrids' energy resources. The system chosen for testing the efficacy of the proposed framework is a real-world active-microgrid of Malta College of Arts, Science and Technology (MCAST), located on an island.

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“…Huang et al [72] considered 'market-based time-of-use (TOU) pricing' strategies for a microgrid to reduce the cost of electricity from a utility. Interestingly, it can operate independently as an autonomous power system during the island mode to give power support at times of stress due to several circumstances [73]. Microgrids help in power restoration after the occurrence of a failure on the utility side, ensuring that end consumers have continuous access to energy, particularly for critical loads.…”

Section: Seaport Microgrid Topologymentioning

confidence: 99%

A Review of the Conceptualization and Operational Management of Seaport Microgrids on the Shore and Seaside

Bakar¹,

Guerrero²,

Vásquez³

et al. 2021

Preprint

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Seaports are well known as the medium that has evolved into the central link between sea and land for complex marine activities. The growth in maritime logistics especially necessitates a large volume of energy supply to maintain the operation of sea trade, resulting in an imbalance between the generation and demand sides. Future projections for three major concerns show an increase in load demand, cost of operation, and environmental issues. In order to overcome these problems, integrating microgrids as an innovative technology in the seaport power system appears to be a vital strategy. It is believed that microgrids enhance the seaport operation by providing sustainable, environmentally friendly, and cost-effective energy. Despite the fact that microgrids are well established and widely used in a variety of operations on land, their incorporation into the seaport is still limited. The involvement of a variety of heavy loads such as all-electric ships, cranes, cold ironing, and buildings infrastructure makes it a complicated arrangement task in several aspects, which necessitate further research and leave space for improvement. In this paper, an overview of the seaport microgrids in terms of their concepts, requirements, and operation management is presented. It provides the perspectives of integrating the microgrid concept into a seaport from both shore side and seaside as a smart initiative for the green ports vision. Future research directions are discussed towards the development of more efficient marine power system.

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Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm

Cited by 78 publications

References 30 publications

Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Cost Efficient Multi-Source Energy Mixing for Renewable Energy Microgrids Using Hybrid Abcpso Algorithm

Techno-Economic Framework for Optimal Capacity Expansion of Active Microgrid in the Mediterranean: A Case Study of MCAST

A Review of the Conceptualization and Operational Management of Seaport Microgrids on the Shore and Seaside

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