• Title/Summary/Keyword: 비결정론

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Optimization Algorithm for Real-time Load Dispatch Problem Using Shut-off and Swap Method (발전정지와 교환방법을 적용한 실시간급전문제 최적화 알고리즘)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.4
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    • pp.219-224
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    • 2017
  • In facing the lack of a deterministic algorithm for economic load dispatch optimization problem, only non-deterministic heuristic algorithms have been suggested. Worse still, there is a near deficiency of research devoted to real-time load dispatch optimization algorithm. In this paper, therefore, I devise a shut-off and swap algorithm to solve real-time load dispatch optimization problem. With this algorithm in place, generators with maximum cost-per-unit generation power are to be shut off. The proposed shut-off criteria use only quadratic function in power generation cost function without valve effect nonlinear absolute function. When applied to the most prevalent economic load dispatch benchmark data, the proposed algorithm is proven to largely reduce the power cost of known algorithms.

A Study On The Parameter Selection of ($1+{\lambda}$) Evolution Strategy (($1+{\lambda}$)진화 전략 알고리즘의 파라미터 선정에 대한 연구)

  • Park, Sang-Hun;An, Kwang-Ok;Cho, Sung-Mun;Cho, Dong-Hyeok;Jung, Hyun-Kyo
    • Proceedings of the KIEE Conference
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    • 2001.04a
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    • pp.75-77
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    • 2001
  • 전기기기 최적 설계에 있어서 결정론적 최적화 방법은 국부해를 빠른 속도로 찾을 수 있지만 최적값에 대한 보장이 어려우므로 비결정론적 방법인 진화전략 알고리즘을 많이 사용한다. 전기기기 최적화에 쓰이는 많은 확률적 알고리즘 중에서 진화 전략 알고리즘은 시뮬레이티드 어닐링과 유전 알고리즘을 결합한 방법으로, 전체 최적점 탐색이 가능할 뿐만 아니라 알고리즘이 비교적 간단하면서도 빠른 수렴 특성을 갖고 있다. 그리고, 종류 또한 다양하다. 진화 전략 알고리즘 중에서 중요한 것은 수렴속도와 성공률에 기여하는 파라미터들을 잘 선정하는 것이다. 본 논문에서는, 진화 전략 알고리즘의 중요한 인자인 자식 세대의 개수인 ${\lambda}$값과 ${\alpha}$값을 변화시켜 가면서 변수 개수에 따른 최적화된 조합을 제시한다. 본 논문의 결과는 전기기기 최적 설계에 응용하는데 도움이 될 것으로 사료된다.

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Optimization Algorithm for Economic Load Dispatch Problem Using Balance and Swap Method (균형-교환방법을 적용한 경제급전문제 최적화 알고리즘)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.255-262
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    • 2015
  • In the absence of a deterministic algorithm for economic load dispatch optimization problem (ELDOP), existing algorithms proposed as solutions are inevitably non-deterministic heuristic algorithms. This paper, therefore, proposes a balance-and-swap algorithm to solve an ELDOP. Firstly, it balances the initial value to ${\Sigma}P_i=P_d$ by subsequently reducing power generation for each adult-step and baby-step and selects the minimum cost-generating method. Subsequently, it selects afresh the minimum cost-generating method after an optimization of the previously selected value with adult-step baby-step swap and giant-step swap methods. Finally, we perform the $P_i{\pm}{\beta}$, (${\beta}=0.1,0.01,0.001,0.0001$) swap. When applied to the 3 most prevalently used economic load dispatch problem data, the proposed algorithm has obtained improved results for two and a result identical to the existing one for the rest. This algorithm thus could be applied to ELDOP for it has proven to consistently yield identical results and to be applicable to all types of data.

Knowability Paradox and Defeater for Counterfactual Knowledge (지식가능성 역설과 반사실적 조건 명제에 대한 논파자)

  • Kim, Namjoong
    • Korean Journal of Logic
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    • v.17 no.1
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    • pp.109-136
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    • 2014
  • Every (semantic) antirealist accepts one or another form of verification principle. The principle has strong and weak forms, the strong form being highly counterintuitive but the weak one being more plausible. Understandably, antirealists have preferred the weak form of verification principle. Unfortunately, the socalled knowability paradox shows that those two forms are indeed equivalent. To solve this problem, Edgington suggests a yet new form of verification principle. Unfortunately, her new principle has its own difficulty. To overcome this difficulty, Edgington provides a new model of knowledge, according to which every true proposition is somehow associated with a known counterfactual conditional. In this paper, I shall argue that even this new model of knowledge confronts with an insurmountable problem. It is a well-known fact that, in the microscopic levels, some facts manage to occur despite very low physical chances. I will argue that the counterfactuals linked with those facts cannot be known due to the existence of epistemic defeaters. Hence, Edgington's knowledge model does not work in all cases.

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3D Finite Element Simulation of Pellet-Cladding Mechanical Interaction (3차원 유한요소를 이용한 핵연료와 피복관 기계적 거동 해석)

  • Seo, Sang Kyu;Lee, Sung Uk;Lee, Eun Ho;Yang, Dong Yol;Kim, Hyo Chan;Yang, Yong Sik
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.40 no.5
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    • pp.437-447
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    • 2016
  • In a nuclear power plant, the fuel assembly, which is composed of fuel rods, burns, and the high temperature can generate power. The fuel rod consists of pellets and a cladding that covers the pellets. It is important to understand the pellet-cladding mechanical interaction with regard to nuclear safety. This paper proposes simulation of the PCMI. The gap between the pellets and the cladding, and the contact pressure are very important for conducting thermal analysis. Since the gap conductance is not known, it has to be determined by a suitable method. This paper suggests a solution. In this study, finite element (FE) contact analysis is conducted considering thermal expansion of the pellets. As the contact causes plastic deformation, this aspect is considered in the analysis. A 3D FE module is developed to analyze the PCMI using FORTRAN 90. The plastic deformation due to the contact between the pellets and the cladding is the major physical phenomenon. The simple analytical solution of a cylinder is proposed and compared with the fuel rod performance code results.