Optimal sizing of renewable energy systems in a Microgrid considering electricity market interaction and reliability analysis

Hakimi, Seyed Mehdi; Hasankhani, Arezoo; Shafie‐khah, Miadreza; Lotfi, Mohamed; Catalão, João P.S.

doi:10.1016/j.epsr.2021.107678

Cited by 37 publications

(5 citation statements)

References 58 publications

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“…Ref. [49] considers a MG similar to [48], but also introduces a reliability assessment. The reliability assessment is based on probabilities for outages of the wind turbines, solar PVs, and DC/AC converters.…”

Section: Literature Review Of State-of-the-art Optimization Modelsmentioning

confidence: 99%

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

2023

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Power-to-X is one of the most attention-grabbing topics in the energy sector. Researchers are exploring the potential of harnessing power from renewable technologies and converting it into fuels used in various industries and the transportation sector. With the current market and research emphasis on Power-to-X and the accompanying substantial investments, a review of Power-to-X is becoming essential. Optimization will be a crucial aspect of managing an energy portfolio that includes Power-to-X and electrolysis systems, as the electrolyzer can participate in multiple markets. Based on the current literature and published reviews, none of them adequately showcase the state-of-the-art optimization algorithms for energy portfolios focusing on Power-to-X. Therefore, this paper provides an in-depth review of the optimization algorithms applied to energy portfolios with a specific emphasis on Power-to-X, aiming to uncover the current state-of-the-art in the field.

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Section: Literature Review Of State-of-the-art Optimization Modelsmentioning

confidence: 99%

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

2023

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“…Microgrids consist of a variety of electricity generation resources and consumptions. The existence of variable and uncontrollable production resources such as PVs and WTs 6 in addition to controllable resources such as microturbines, CHP units, 7 and responsive loads with adjustable and shiftable consumption necessitates the need for optimal energy management and planning 8 . Smart microgrids planning with different objectives such as microgrid type, 9 reducing losses, 10 costs, 11 and improving reliability due to uncertainties related to load demand, 12,13 renewable resources power generation, 14,15 thermal 16 and hydrogen demand, 17 heat storage, 18 demand response (DR), 19,20 and energy price 21,22 have been researched.…”

Section: Introductionmentioning

confidence: 99%

Coordinated planning of the distribution system and regional energy network in the presence of responsive loads

Sanij

Mirzaei

Anvari‐Moghaddam

2023

Energy Science & Engineering

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Reducing loss and providing a secure power supply for customers have always been the main goal of distribution systems planners. Recently, the development of competitive electricity markets and responsive loads participation in such markets together with the integration of regional energy networks (RENs) have resulted in creating some challenges for RENs' owners to increase operating efficiency, and reduce investment costs. In this paper, to overcome these problems, a new modeling for coordinated planning of distribution networks and RENs in the presence of responsive loads is proposed and to achieve the optimal solution of the problem, the genetic algorithm is used. Operation uncertainties due to the installation of wind turbines and photovoltaic resources in RENs are considered. The probability‐tree method is used to generate and model operation scenarios and their variable production, respectively. To validate and confirm the efficiency of the proposed model, numerical studies were applied on a 25‐bus Institute of Electrical and Electronics Engineers standard distribution network, including two RENs equipped with responsive loads. The results show the fact that the flexibility of the demand side in the electrical sector due to the activity of responsive loads causes to increase in the installation capacity of energy resources and storages.

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“…The high penetration of renewable and non-renewable distributed generations (DGs) through the concepts of smart grids (SGs) and microgrids (MGs) as future grids has received significant attention in recent years [1][2][3]. Many benefits can be achieved by deploying DGs in active distribution networks (ADNs) and SGs [4][5][6]. However, complications have been imposed on the SGs and MGs' control and protection systems due to the integration of DGs into the conventional structure of distribution networks [7,8].…”

Section: Introductionmentioning

confidence: 99%

Optimal adaptive protection of smart grids using high‐set relays and smart selection of relay tripping characteristics considering different network configurations and operation modes

Ataee-Kachoee

Hashemi‐Dezaki

Ketabi

2022

IET Generation Trans & Dist

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Much attention has been paid to optimizing smart grids (SGs) and microgrids (MGs) protection schemes. The SGs' operation in different operating modes (especially gridconnected and islanded conditions) and various system configurations (such as the outage of each of the distribution generations) adversely influence the protection system. The adaptive protection schemes using different setting groups are suitable and reliable solutions to achieve a fast protective system. However, the literature shows a research gap in developing optimized adaptive protection schemes, focusing on constraint reduction, besides the optimal selection of time-current characteristics for direction overcurrent relays (DOCRs) and high-set relays (HSRs). This research aims to fill such a research gap. The power system analyses, such as power flow and short circuit studies, are done in DIgSI-LENT, and the genetic algorithm (GA) is used to find the optimum solutions. Test results of the IEEE 38-bus distribution system illustrate the advantages of this study compared to existing ones. The comparative test results emphasize that 31.78% and 21.62% decrement in time of the protective scheme in different topologies for the distribution networks of the IEEE 38-bus and IEEE 14-bus test systems could be achievable by simultaneously optimizing relay characteristics and HSRs compared to existing approaches.

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Optimal sizing of renewable energy systems in a Microgrid considering electricity market interaction and reliability analysis

Cited by 37 publications

References 58 publications

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

Review of Energy Portfolio Optimization in Energy Markets Considering Flexibility of Power-to-X

Coordinated planning of the distribution system and regional energy network in the presence of responsive loads

Optimal adaptive protection of smart grids using high‐set relays and smart selection of relay tripping characteristics considering different network configurations and operation modes

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