Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm

Raghav, L. Phani; Kumar, Rohit; Raju, D. Koteswara; Singh, Arvind R.

doi:10.1109/tsg.2021.3092283

Cited by 76 publications

(32 citation statements)

References 29 publications

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“…10.2 | OEM using QTLBO 120 In this article, the MG energy management issue optimizes DERs energy output and battery usage to save operational expenses, including minimizing fuel cost of startup/shutdown costs of the DERs, and utility market price are described in Equation (22).…”

Section: Comparative Study Based On Metaheuristic Optimization Techni...mentioning

confidence: 99%

“…In Reference 120, we consider case‐4, which proposed that the PV power is provided maximum compared with other case studies. Hence, to visualize the efficacy in terms of optimally, the QTLBO provided the best solution when compared with DE, TLBO, and RCGA algorithms as depicted in Figure 6.…”

Section: Comparative Study Based On Metaheuristic Optimization Techni...mentioning

confidence: 99%

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A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid

Behera

Choudhury

2021

Int Trans Electr Energ Syst

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Energy management system (EMS) is a modern methodology in smart households' advancement that build collaboration among end-users with their home appliances to operate automatically, multifunctionally, adaptably, and efficiently. EMS is categorized into several applications; battery energy management is an eminent application on smart grid applications. Such an approach is responsible for cost minimization during peak hour operated loads with various optimization methods and different adaptive controllers, which are described. Applications of EMS based different topologies are recommended with issues on these techniques have also been analyzed. Results obtained on EMS using optimization methods and battery EMS using fuzzy and PI controllers are demonstrated. Finally, based on the review, potential future scopes in this topic have been identified, and future research directions in this context are pointed out.

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Section: Comparative Study Based On Metaheuristic Optimization Techni...mentioning

confidence: 99%

Section: Comparative Study Based On Metaheuristic Optimization Techni...mentioning

confidence: 99%

A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid

Behera

Choudhury

2021

Int Trans Electr Energ Syst

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“…Bahan ajar ini juga efektif dalam mengembangkan karakter mahasiswa. Quantum Teaching merupakan proses pembelajaran dengan menyediakan latar belakang dan strategi untuk meningkatkan proses belajar mengajar menjadi menyenangkan (Raghav et al, 2021). Pembelajaran Quantum Teaching mencakup petunjuk untuk menciptakan lingkungan belajar yang efektif merancang pengajaran, menyampaikan isi dan memudahkan proses belajar (Yanuarti & Sobandi, 2016).…”

Section: Efektivitas Bahan Ajarunclassified

Peran Bahan Ajar Berbasis Karakter pada Pembelajaran Pendidikan Kependudukan dan Lingkungan Hidup di Tingkat Perguruan Tinggi

Wita

Ummami

2021

basicedu

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Latar belakang penelitian ini adalah rendahnya karakter di kalangan pelajar, termasuk tingkat perguruan tinggi, khususnya masalah tentang kependudukan dan lingkungan hidup. Pembelajaran berkmakna perlu diwujudkan dalam proses belajar dan pembelajaran. Salah satunya dengan menerapkan pembelajaran berbasis karakter. Sehingga, tujuan penelitian ini adalah untuk mengembangkan bahan ajar dengan mengintegrasikan nilai-nilai karakter dalam setiap materi. Tujuan Akhir dari penelitian ini adalah menciptakan bahan ajar berbasis karakter yang valid, praktis, dan efektif. Model pembelajaran yang digunakan adalah model pembelajaran Quantum Teaching and Learning. Jenis penelitian menggunakan mode pengembangan ADDIE (Analysis, Design, Development, Implementation, dan Evaluation). Sampel penelitian ini adalah mahasiswa program studi pendidikan ekonomi. Objek penelitian adalah mahasiswa Pendidikan Ekonomi di STKIP Nasional yang mengambil mata kuliah Pendidikan Kependudukan dan Lingkungan Hidup (PKLH). Data diambil melalui lembaran observasi dan dianalisis secara statistik deskriptif. Hasil penelitian membuktikan bahwa adanya peningkatan karakter mahasiswa melalui model pembelajaran Quantum Teaching Learning, sehingga bahan ajar yang dikembangkan telah memenuhi tingkat valid, praktis, dan efektif dalam meningkatkan karakter mahasiswa.

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“…The above state of the art summarizes various mathematical, 22 heuristic, 19 multi-agent-based, 14,15 and reinforcement learning-based 16 EMS strategies with a wide range of objectives. Furthermore, the quantum computational-based algorithms [28][29][30] are also adopted to resolve the problems of optimal scheduling in MG. In addition, applying various DR strategies unified with the EMS problem has enhanced operational costs.…”

Section: State Of the Artmentioning

confidence: 99%

A swarm intelligence approach for energy management of grid‐connected microgrids with flexible load demand response

Singh

Ding

Raju

et al. 2021

Intl J of Energy Research

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Ever since its inception, the concept and application of demand-side response have continued to evolve and take a new shape in microgrid energy management. The application of demand response programs in the microgrid literature lacks the consideration of flexible price elasticity of different load categories. The realistic characterization of load-responsive models with a combination of both linear and nonlinear models is necessary to study the effect of demand response programs. To cover this research gap, the impact of price-based demand response programs on the optimal scheduling of microgrids is investigated in the presence of linear and nonlinear load models. The flexible elasticity model is adopted to characterize the actual behavior of customer responsiveness towards changes in electricity price. Five load models, namely linear, logarithmic, exponential, power, and hyperbolic, were derived for each price-based demand response program. Furthermore, the stochastic-based scenario modeling is considered to cope with the volatile renewable generation in the microgrid network. The recently reported swarm intelligence-based algorithm called the sparrow search method is intended to solve the proposed microgrid energy management issue for the first time in the literature. Fifteen case studies on the basis of distinct linear and nonlinear load scenarios have been carried out to assess the effectiveness of the methodology proposed. Finally, various techno-economic performance indices were evaluated for all case studies, and a priority-wise ranking is assigned based on the multi-criteria assessment technique.

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Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm

Cited by 76 publications

References 29 publications

A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid

A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid

Peran Bahan Ajar Berbasis Karakter pada Pembelajaran Pendidikan Kependudukan dan Lingkungan Hidup di Tingkat Perguruan Tinggi

A swarm intelligence approach for energy management of grid‐connected microgrids with flexible load demand response

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