Reliability based optimal allocation of distributed generations in transmission systems under demand response program

Nejad, Hadi Chahkandi; Tavakoli, Saeed; Ghadimi, Noradin; Korjani, Saman; Nojavan, Sayyad; Pashaei-Didani, Hamed

doi:10.1016/j.epsr.2019.105952

Cited by 55 publications

(7 citation statements)

References 43 publications

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“…Most vultures are bald, meaning they have few feathers on their heads and that is how they get their name [10,11] . However, it is precisely because vultures have few feathers on their heads that they usually bury their heads under their wings to keep warm during cold weather [12][13][14] . Therefore, this paper chooses African vultures as the subject to investigate the hunger rate of vultures because the climate of Africa is rarely cold, so vultures do not need to keep warm to reduce predation.…”

Section: African Vulturesmentioning

confidence: 99%

Cost Optimization of Steel Beam-to-Column Connections using AVOA

Wang,

Ren

2024

JARD

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The joint-bolt-African Vulture optimization algorithm (AVOA) model is proposed for the design of building connections to improve the stability of steel beam-to-column connections. For this algorithm, the type of steel is first determined, and the number of bolts needed by the corresponding steel type is referenced in Eurocode 3. Then, the bearing capacity of the joint can be calculated. The joint-bolt-AVOA model is established by substituting the bolt number required by the steel into the algorithm to obtain the optimal bolt number required while ensuring joint stability. The results show that the number of bolts required by the joint-bolt-AVOA model based on the stability of steel is lower than that calculated by Eurocode 3. Therefore, AVOA can effectively optimize the number of bolts needed in building connections and save resources.

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Section: African Vulturesmentioning

confidence: 99%

Cost Optimization of Steel Beam-to-Column Connections using AVOA

Wang,

Ren

2024

JARD

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“…Accordingly, in recent decades, distributed energy resources (DERs) have grown rapidly in recent years, turning into one of the significant topics in distribution power system research [1][2][3]. The integration of such resources can thus bring about quite a few advantages for distribution systems, such as reducing network power losses [4,5], improving voltage profiles [6,7], as well as system loadability and reliability [8][9][10][11][12], etc. However, the improper integration of DERs into the current distribution systems may result in some undesirable issues, that is, an escalation in technical, economic, and safety-related problems [3,4,13].…”

Section: Motivationmentioning

confidence: 99%

An analytical optimum method for simultaneous integration of PV, wind turbine and BESS to maximize technical benefits

Khoubseresht

Rajabinezhad

Mousavi

2023

IET Generation Trans & Dist

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The present paper introduces an analytical approach for integrating distributed energy resources (DERs) and battery energy storage systems (BESSs) into power grids. The given method aims to simultaneously identify optimal buses and capacities of DERs and BESSs, with regard to the responsive load demand along with the stochastic nature of wind turbine (WT) and photovoltaic (PV) units, and then to minimize energy losses and improve voltage profiles. For this purpose, the responsive load model, the uncertainties in the WT and PV units, and the BESSs are firstly modeled. Secondly, the output curve of BESSs is obtained so that demand and supply can be balanced effectively, so as to utilize the full‐potential output of DERs. Thirdly, a set of formulation is developed for simultaneous integration of the DERs and the BESSs. This formulation reflects on different levels of loads and DERs for each period as well as each segment with their corresponding probability density. Finally, the proposed method is tested on the standard IEEE 33‐bus network. These results verify that sizing and sitting of DERs and BESSs can significantly shape the planning results of DERs and increase their penetration in the power grids at the same time.

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“…Among the works focusing on the management of electrical loads of distributed generation systems and its link to the demand response are the studies by Wang [43], Howlader [23] and Nakada [44]. A number of studies have been conducted on the issue of grid capacity enhancement through the adoption of distributed generation systems and demand response (Nejad, H.C. [45] and Poudineh, R. [46]). Another significant part of the research in the field of distributed energy is directed to the digitalization of the processes of managing the demand for electricity by consumers that use distributed generation sources.…”

Section: Literature Review Of the Topic Of Natural Gas-fired Distribu...mentioning

confidence: 99%

Raising the Resilience of Industrial Manufacturers through Implementing Natural Gas-Fired Distributed Energy Resource Systems with Demand Response

2023

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The use of relatively small-scale distributed electric power generation sources is one of the key focus areas in the development of global industry and regional power generation. By integrating distributed generation sources into their on-site energy infrastructure, industrial consumers gain new characteristics and possibilities as entities of the power system that do not only consume power, but in fact can flexibly generate and deliver electricity to local and even centralized grids. This type of entity is called a distributed energy resource system with demand response (Russian: ‘active energy complex’). The purpose of this study is to lay the methodological foundation for the use of distributed energy resource systems with demand response in industrial sites under existing gas and power market conditions and for ensuring the synchronization of parameters that is necessary for managing complex energy consumption. This article provides an empirical study of the principles of the natural gas pricing under the demand volatility of regional markets and the Russian Mercantile Exchange. The article outlines the key drivers, as identified by the authors, that impact gas consumption by a distributed energy resource system, including demand characteristics, limitations and capacity of the gas network and the mode of gas consumption by an industrial enterprise and its generator. Accounting for all of these factors is essential for effective management and proper operational adjustment of a distributed energy resource system with demand response. The result of the study is a proprietary model and a tool for the management of distributed energy resource systems in integration with the gas demand management, which analyze the internal and external parameters of the industrial entity’s operations and its distributed energy resource system, as well as factors existing in the integrated distributed energy system where the consumer is able to buy natural gas in various market segments. The proprietary tool of distributed energy resource system management is based on the centralized control system, which combines performance analytics, operational scheduling of production and the distributed energy resource system, price planning for the wholesale and retail power markets, regional gas markets and exchange, monitoring all elements of the system, and assessment of different active energy management scenarios under various external and internal conditions impacting production and energy demand. Our proprietary tool has been successfully tested in a typical industrial site and was reported to deliver a significant electricity and gas cost-saving effect, which amounted to an 18 percent reduction in the total energy costs of the company, or more than USD 2.6 million per year. The resulting saving effect can recoup the costs of investing in a distributed energy resource system, including construction and installation of the local grid and automation infrastructure, and can be obtained in any country of the world.

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Reliability based optimal allocation of distributed generations in transmission systems under demand response program

Cited by 55 publications

References 43 publications

Cost Optimization of Steel Beam-to-Column Connections using AVOA

Cost Optimization of Steel Beam-to-Column Connections using AVOA

An analytical optimum method for simultaneous integration of PV, wind turbine and BESS to maximize technical benefits

Raising the Resilience of Industrial Manufacturers through Implementing Natural Gas-Fired Distributed Energy Resource Systems with Demand Response

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