Techno-economic optimal planning of an industrial microgrid considering integrated energy resources

Ahmed, Mohammad Adel; Abbas, Ghulam; Jumani, Touqeer Ahmed; Rashid, Nasr; Bhutto, Aqeel Ahmed; Eldin, Sayed M.

doi:10.3389/fenrg.2023.1145888

Cited by 10 publications

(3 citation statements)

References 30 publications

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“…Ref. [154] proposed to perform an economic and technological feasibility analysis of microgrids based on the cost of electricity when operating in the grid-connected and islanded modes. At the same time, a comprehensive analysis should be made of the available capacity of dispatchable and non-dispatchable DERs, taking into account the annual growth of electricity consumption by 12%.…”

Section: Optimal Power Flow and Scheduling Methodsmentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

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The process of building microgrids on top of existing passive distribution networks warrants a multi-criteria analysis. Besides the calculation of the investment outlays needed for the modernization of distribution networks, such an analysis covers an assessment of the technological and economic effects of building microgrids. The resulting effects depend on the topology and configuration of distribution networks, specific microgrid features, the choice of the current type for the entire microgrid or its individual parts, the methods of connecting distributed energy resources (DERs), the availability and maturity of information and communications technology (ICT) infrastructure, and other factors. Comprehensive input data allow for designing an optimal microgrid configuration, but the main technological and economic effects are determined by the algorithms of operation and the parameter settings of the automatic control system (ACS) and the protection system. The known approaches to designing microgrids focus on addressing basic tasks while minimizing the investment required for their implementation. The above is fully justified when constructing new microgrids, but building microgrids on top of existing distribution networks, given the uniqueness of their topology and configuration, does not allow the use of standardized solutions. The development of approaches to the design of microgrids under such constraints, with minimized investment in the modernization of existing distribution networks, is an urgent task. The use of different types of current for individual microgrid segments determines the choice of the particular ACS and protection system, which depends on the availability of information and communications technology infrastructure. This article contributes a review of approaches to designing AC and AC–DC microgrids so as to maximize their technological and economic effects. We review techniques for analyzing the existing distribution networks aimed at choosing the type of current for the entire microgrid or its individual parts, the optimal points for the connection of microgrids to distribution networks, and the mix and capacity of DERs, with such choices informed by the conditions of the switching devices and information and communications technology infrastructure. This article presents the results of the analysis of approaches to choosing the optimal configuration of microgrids, microgrid ACS, and protection system, with an evaluation of the technological and economic effects subject to the minimization of investment in the modernization of the existing distribution networks.

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Section: Optimal Power Flow and Scheduling Methodsmentioning

confidence: 99%

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

et al. 2023

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“…Du et al (2022) solved the problem of optimizing resource allocation within the workshop through reinforcement learning. Ahmed et al (2023) discussed the optimal planning of an industrial microgrid considering integrated energy resources, and paid more attention to the impact of scheduling models on economic effects. Both traditional scheduling algorithms and intelligent scheduling algorithms represented by machine learning are focused on production problems in certain special environments, mainly in the production workshop or a certain section.…”

Section: Related Workmentioning

confidence: 99%

Research on a multilevel scheduling model for multi variety and variable batch production environments based on machine learning

Wang,

Liu,

Xia

et al. 2023

Front. Energy Res.

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Traditional manufacturing enterprises cannot adjust their production line structure in the short term. They face significant challenges in adapting to the rapidly changing market environment and meeting various variable batch production requirements. Building a suitable and convenient multi-layer planning and scheduling model is an important goal to solve the efficient operation of manufacturing enterprises. This paper proposes a planning and scheduling design that meets the needs of enterprise and the production workshop using the APERT-VC model through a top-down design methodology. APERT is an enterprise-level plan that uses attention mechanisms to collect job plan time and decomposes project plans into workshop plans through PERT technology. virtual command is workshop level plan management, which converts workshop plans into time series vectors and achieves rapid and comprehensive guidance of workshop resource planning for enterprises through multiple classification and decision-making. Through experiments, the algorithm achieved production scheduling accuracy improvement of over 30% compared to previous algorithms and a decision accuracy rate of over 90%. The first half of the new model solves the problem of collecting work time for multi variety and variable batch products, and improves the accuracy of algorithm input. The second half of the new algorithm innovatively combines image recognition technology with dispatcher behavior, achieving efficient simulation results.

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“…When considering the generation cost of power sources, achieving optimal power sharing becomes a crucial problem that can be solved through an economic dispatch model (Ahmed et al, 2023). Distributed economic dispatch optimization algorithms have been developed, taking advantage of consensus algorithms in multi-agent systems, including the ϵ-based consensus algorithm (Yang et al, 2013), distributed bisection method (Xing et al, 2015), distributed projected gradient algorithm (Guo et al, 2016), subgradient-based consensus algorithm (Wang et al, 2016b), eventtriggered consensus algorithm (Li et al, 2016), and consensus-based energy management algorithm (Zhao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Optimal power distributed control of the DC microgrid in meshed configuration

Yang¹,

Yang²,

Chen

2023

Front. Energy Res.

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This paper proposes a Lyapunov-based power sharing control scheme and a fixed-time-based distributed optimization algorithm to achieve optimal power sharing of sources in a DC microgrid. The Lyapunov-based controller is designed based on so-called ratio consensus protocol, where it drives the sources to a desired proportional power sharing by regulating the voltage profile of the DC microgrid. The distributed optimization optimizer is established by integrating a finite-time weighted consensus algorithm with an iterative algebraic operation, where it calculates the optimal power dispatch on the target of minimizing the generation cost. The optimizer receives the current output power of the controlled DC microgrid and sends the obtained power dispatch to the power sharing controller as the proportionality coefficients. Both the controller and optimizer are carried out in a fully distributed way. Under the framework of the Lyapunov method, stability analysis of the DC microgrid with the proposed control scheme, as well as convergence and optimality analysis of the distributed optimization algorithm, is provided. However, the influence of the time delay of the controller on the system remains to be further investigated in future work.

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Techno-economic optimal planning of an industrial microgrid considering integrated energy resources

Cited by 10 publications

References 30 publications

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

Approaches to Building AC and AC–DC Microgrids on Top of Existing Passive Distribution Networks

Research on a multilevel scheduling model for multi variety and variable batch production environments based on machine learning

Optimal power distributed control of the DC microgrid in meshed configuration

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