• Title, Summary, Keyword: Rate of Reserve

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Impact of Maintenance Outage Rate Modeling on the Minimum Reserve Rate in Long-term Generation Expansion Planning (예방정비율(MOR) 모델링 방식이 수급계획의 최소설비예비율 산정에 미치는 영향)

  • Kim, Hyoungtae;Lee, Sungwoo;Kim, Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.12
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    • pp.1712-1720
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    • 2017
  • In South Korea, minimum reserve rate, which is to satisfy reliability standard, has been determined by simulation result using WASP. But, it is still controversial whether the level of minimum reserve rate is adequate. Thus, in this study, various analyses of minimum reserve rate are being conducted. WASP uses the probabilistic simulation technique to evaluate whether reliability standard is satisfied. In this process, forced outage rate and maintenance periods of each generator play important roles. Especially, the long-term plan can be varied depending on how maintenance periods deal with. In order to model maintenance periods in the probabilistic simulation technique, WASP uses derating method. However, broad analyses have to be conducted because there are various ways including derating method to model maintenance periods which result in different results. Therefore, in this paper, 3 different maintenance outage rate modeling methods are applied to arbitrarily modeled system based on the basic plan for long-term electricity supply and demand of South Korea. Results show impact of each modeling method on minimum reserve rate.

Development of Methodology of New Effective Installed Reserve Rate considering Renewable Energy Generators (신재생에너지전원을 고려한 새로운 유효설비예비율 평가방법의 개발)

  • Park, Jeong-Je;Choi, Jae-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.1
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    • pp.26-32
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    • 2010
  • This paper proposes a new effective installed reserve rate in order to evaluate reliability of power system considering renewable generators, which include uncertainty of resource supply. It is called EIRR(effective installed reserve rate) in this paper. It is developed with considering capacity credit based on ELCC by using LOLE reliability criterion. While the conventional installed reserve rate index yields over-evaluation reliability of renewable generators, the proposed EIRR describes actual effective installed reserve rate. However, it is not the probabilistic reliability index as like as LOLE or EENS but another deterministic effective reliability index. The proposed EIRR is able to evaluate the realistic contribution to the reliability level for power system considering wind turbine generators and solar cell generators with high uncertainty in resource supply. The case study in model system as like as Jeju power system size presents a possibility that the proposed EIRR can be used practically as a new deterministic reliability index for generation expansion planning or operational planning in future.

Automatic Generation of Reserve Prices and Bid Prices for a Group Buying System (공동 구매 시스템에서의 낙찰 예정가 및 입찰가 자동 생성)

  • 김신우;고민정;박성은;이용규
    • The Journal of Society for e-Business Studies
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    • v.7 no.2
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    • pp.55-68
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    • 2002
  • Internet group buying systems have been widely used recently. In those systems, because the reserve price is provided by the buyer, the success rate can be decreased if the reserve price is set too low compared with the normal price. Otherwise, an unsuitable successful bid can be made if the reserve price is set too high based on inaccurate information. Likewise, the seller's providing too high a bid price can deteriorate his/her own successful bid rate, whereas a successful bid with too low a price may make no profit in the sale. Therefore, pricing agents that recommend adequate prices based on the past buying and selling history data can be helpful. In this paper, we propose two kinds of agents. One suggests reserve prices to buyers based on the past buying history database of the system. The other recommends bid prices to a seller based on the past bidding history data of the company using the cost accounting theory. Through performance experiments, we show that the successful bid rate can increase by preventing buyers from making unreasonable reserve prices. Also, we show that, for the seller, the rate of successful bids with appropriate profits can increase. Using the pricing agents, we design and implement an XML-based group buying system.

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A research of optimum supply reserve levels for stability of power system (전력계통 안정을 위한 공급예비력 적정수준에 대한 연구)

  • Ahn, Dae-Hoon;Kwon, Seok-Kee;Joo, Haeng-Ro;Shin, Jung-Sun
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • pp.61-65
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    • 2008
  • Because of the high increasing rate of load demand, these days the necessity of deciding what optimum reserve level is appropriate to most stably supply electricity is being emphasized. This research studies the downward tendency of reverve ratio by analyzing the trend of change of the network scale, reserve, and reserve ratio while optimum reserve has been increased as the network system scale grow up. This means, at this moment 6,000MW is optimum level for short term prospect of power supply and demand. And also, it has been analyzed that, as the annual peak load exceeded 50,000MW, confirming the amount of optimum reserve level is more stable than keeping 10 to 12% reserve ratio.

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Reserve Price Recommendation Methods for Auction Systems Based on Time Series Analysis (경매 시스템에서 시계열 분석에 기반한 낙찰 예정가 추천 방법)

  • Ko Min Jung;Lee Yong Kyu
    • Journal of Information Technology Applications and Management
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    • v.12 no.1
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    • pp.141-155
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    • 2005
  • It is very important that sellers provide reasonable reserve prices for auction items in internet auction systems. Recently, an agent has been proposed to generate reserve prices automatically based on the case similarity of information retrieval theory and the moving average of time series analysis. However, one problem of the previous approaches is that the recent trend of auction prices is not well reflected on the generated reserve prices, because it simply provides the bid price of the most similar item or an average price of some similar items using the past auction data. In this paper. in order to overcome the problem. we propose a method that generates reserve prices based on the moving average. the exponential smoothing, and the least square of time series analysis. Through performance experiments. we show that the successful bid rate of the new method can be increased by preventing sellers from making unreasonable reserve prices compared with the previous methods.

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A study on forecasting attendance rate of reserve forces training based on Data Mining (데이터마이닝에 기반한 예비군훈련 입소율 예측에 관한 연구)

  • Cho, Sangjoon;Ma, Jungmok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.261-267
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    • 2021
  • The mission of the reserve forces unit is to prepare good training for reserve forces during peacetime. For good training, units require proper organization support agents, but they have difficulties due to a lack of unit members. For that reason, the units forecast the monthly attendance rate of reserve forces (using the x-1 year's result) to organize support agents and unit schedule. On the other hand, the existing planning method can have more errors compared to the actual result of the attendance rate. This problem has a negative effect on the training performance. Therefore, it requires more accurate forecast models to reduce attendance rate errors. This paper proposes an attendance rate forecast model using data mining. To verify the proposed data mining based model, the existing planning method was compared with the proposed model using real data. The results showed that the proposed model outperforms the existing planning method.

A Reserve Price Generation Agent for an Internet Auction System (인터넷 경매 시스템에서의 낙찰 예정가 자동 생성 에이전트)

  • Ko, Min-Jung;Kim, Shin-Woo;Park, Sung-Eun;Lee, Yong-Kyu
    • The KIPS Transactions:PartD
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    • v.9D no.5
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    • pp.955-962
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    • 2002
  • Commercial internet auction systems have been successfully used recently. In those systems, because reserve prices of auction items are given by sellers only, the success bid rate can be decreased due to the large difference between the reserve price and the normal price. In this paper, we propose an agent that generates reserve prices to sellers based on past auction data and item prices gathered from the web. Through performance experiments, we show that the successful bid rate increases by preventing sellers from making unreasonable reserve prices. Using the pricing agent, we design and implement an XML-based auction system on the web.

A Research of Optimum Supply Reserve Levels for Stability of Power System (전력계통 안전을 위한 공급예비력 적정수준에 대한 연구)

  • Ahn, Dae-Hoon;Kwon, Seok-Kee;Joo, Haeng-Ro;Choi, Eun-Jae
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.9
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    • pp.55-61
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    • 2008
  • Because of the high increasing rate of load demand these days the necessity of deciding what optimum reserve level is appropriate to most stably supply electricity is being emphasized. This research studies the downward tendency of reserve ratio by analyzing the trend of change of the network scale, reserve, and reserve ratio while optimum reserve has been increased as the network system scale grow up. This means, at this moment 6,000[MW] is optimum level for short term prospect of power supply and demand. And also, it has been analyzed that, as the annual peak load exceeded 50,000[MW], confirming the amount of optimum reserve level is more stable than keeping 10 to 12[%] reserve ratio.

A Study on Decision of Optimum Installed Reserve Rate using Probabilistic Reliability Criterion (확률론적인 신뢰도기준에 의한 적정설비예비율의 결정에 관한 연구)

  • Park, Jeong-Jae;Choi, Jae-Seok;Yun, Yong-Bum;Jung, Young-Bum
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.8
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    • pp.1318-1326
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    • 2008
  • This paper proposes an alternative methodology for deciding an optimum deterministic reliability level (IRR; Installed Reserve Rate) by using probabilistic reliability criterion (LOLE; Loss of Load Expectation). Additionally, case studies using the proposed method induce the characteristics of relationship between the probabilistic reliability index (LOLE) and deterministic reliability index (IRR) for 2008 and 2010 years in Korea power system. The case study presents a possibility that an optimum IRR level in Korea can be assessed using the proposed method. Korea power system has been using the LOLE criterion to determine the adequacy of installed capacity (ICAP) requirement. The criterion in Korea is that the loss of load expectation shall not exceed the available capacity more than five day in ten years (=0.5[days/year]), The probabilistic reliability evaluation and production cost simulation program which is called PRASim is used in order to evaluate the relationship and optimum IRR in this paper.

The Sensitivity of the Indonesian Islamic Stock Prices to Macroeconomic Variables: An Asymmetric Approach

  • WIDARJONO, Agus;SHIDIQIE, Jannahar Saddam Ash;El HASANAH, Lak Lak Nazhat
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.181-190
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    • 2021
  • This paper empirically examines the asymmetric response of the Indonesian Islamic stock market to macroeconomic variables encompassing money supply, domestic output, exchange rate, and Federal Reserve rate. Our study employs the Jakarta Islamic Index (JII) after the financial crisis in the Southeast Asian country using monthly data from January 2000 to December 2019. Non-linear Autoregressive Distributed lag (NARDL) is applied. Our study considers two models consisting of the model without the Federal Reserve rate and the model with it. Our findings confirm the long-run link between Jakarta Islamic Index and macroeconomic factors being studied. Furthermore, the Jakarta Islamic Index asymmetrically responds to broad money supply and exchange rate, but not to domestic output and Federal Reserve rate. A reduction in the money supply has a worse effect on Islamic stock prices as compared to an increase in the money supply. The Jakarta Islamic Index responds differently to depreciation and appreciation. The transmission of the exchange rate to Islamic stock prices occurs only for appreciation. Our study finds an absence of transmission mechanism from the domestic output and the interest rate to Islamic stock prices. Our results imply that the easy money policy and stabilizing currency are key to supporting Indonesian Islamic stock prices.