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関連する概念動画

Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

179
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
179
Maximum Power Transfer01:16

Maximum Power Transfer

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Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
400
Power Factor Correction01:20

Power Factor Correction

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The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
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Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

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Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

283
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
283
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

340
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
340

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部分シェーディング条件下における太陽光発電システムの最大電力点追跡のための改良されたエルク群最適化アルゴリズム

Gang Zheng1, Wenchang Wei1, Heming Jia2

  • 1College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.

Biomimetics (Basel, Switzerland)
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PubMed
まとめ
この要約は機械生成です。

従来の最大出力点追跡 (MPPT) は部分遮光に苦戦しています. 改善されたエルク群の最適化 (IEHO) アルゴリズムは,グローバル最大電力ポイントをすばやく見つけ,さまざまな条件下で太陽光発電システムの効率を高めます.

キーワード:
改善されたエルク群の最適化最大パワーポイントトラッキング部分遮光状態太陽光発電システム

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科学分野:

  • 再生可能エネルギーシステム
  • 太陽光発電の変換
  • 最適化アルゴリズム

背景:

  • 光伏 (PV) システムにおける部分遮光条件 (PSC) は,電源電圧の特性を複数ピークにします.
  • 伝統的な最大電力点追跡 (MPPT) アルゴリズムは,しばしばローカル・オプティマに閉じ込められ,エネルギー変換効率を低下させます.
  • 複雑な環境条件下での世界最大電力点の迅速かつ効果的な位置づけは,太陽光発電の性能にとって極めて重要です.

研究 の 目的:

  • 様々な気象条件下での太陽光発電システムの急速なグローバル最大電力点追跡 (MPPT) のための改善されたエルク群最適化 (IEHO) アルゴリズムを提案する.
  • MPPTの性能とエネルギー変換効率を部分シェードで動作するPVシステムで向上させる.

主な方法:

  • 捕食リスクの確率による位置更新メカニズムを含む改良されたエルク群最適化 (IEHO) アルゴリズムを開発しました.
  • 局所最適から脱出するアルゴリズムの能力を向上させるため,三角歩行戦略を導入しました.
  • 冗長な過去のデュティサイクル計算をスキップすることによって,収束速度を最適化するために,メモリ主導のリダイレクト戦略を実装した.

主要な成果:

  • IEHOアルゴリズムは,さまざまな気象条件で他のメタヒューリスティックアルゴリズムと比較して優れたパフォーマンスを示しました.
  • テスト条件下で平均99.99%の追跡効率を達成した.
  • 0.3886秒の平均追跡時間を達成し,収束速度の大幅な改善を示しています.

結論:

  • 提案されたIEHOアルゴリズムは,部分シェーディング下でのMPPTにおけるローカル・オプティマスの課題に効果的に取り組んでいます.
  • IEHOは,太陽光発電システムのグローバル最大電力点の追跡の速度と精度を大幅に向上させます.
  • このアルゴリズムは,ダイナミックな環境における光伏システムの全体的なエネルギー変換効率を改善するための有望なソリューションです.