• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.56 no.10
• /
• pp.1738-1743
• /
• 2007

This paper addresses the bidding strategies of a pumped-storage hydro plant in an electricity market. Competitive bidding of pumping and generating of a pumped-storage plant is formulated in a game theoretic problem in accordance with the three different ownership of scheduling; Market Operator(MO), generating company(Genco), and combined type of MO and Genco. Optimal conditions for Nash Equilibrium are derived in the form of market prices during the scheduling periods. Simulation results show the different ownership models produce different schedules of pumping and generating, which correspond to the objective of the scheduling owner of a pumped-storage hydro plant.

• Proceedings of the KIEE Conference
• /
• 2000.07a
• /
• pp.403-405
• /
• 2000

This paper presents a N-player game theory application for analyzing power transactions in a deregulated energy marketplace such as PoolCo, where, participants, especially, generating entities, maximize their net profits through optimal bidding strategies (i.e., bidding prices and bidding generations). In this paper, the electricity market for power transactions is modeled as a non-cooperative. N-player game with complete information, where the solution is determined in a continuous strategy domain having recourse to the Nash equilibrium idea.

• KIEE International Transactions on Power Engineering
• /
• v.5A no.2
• /
• pp.193-198
• /
• 2005

This paper proposes a new method to handle transmission line losses using loss distribution factors (LDF) rather than marginal loss factors (MLF) in electricity market operation. Under a competitive electricity market, the bidding data are adjusted to reflect transmission line losses. To date the most proposed approach is using MLFs. The MLFs are reflected to bidding prices and market clearing price during the trading and settlement of the electricity market. In the proposed algorithm, the LDFs are reflected to bidding quantities and actual generations/ loads. Computer simulations on a 9-bus sample system will verify the effectiveness of the algorithm proposed. Moreover, the proposed approach using LDFs does not make any payments residual while the approach using MLFs induces payments residual.

• Korean Journal of Construction Engineering and Management
• /
• v.20 no.3
• /
• pp.122-133
• /
• 2019

In the construction industry, bidding competitiveness is the most basic and important competence of the company. Bidding competitiveness comes from competitive advantage, but the strategy of the company to capture bidding competitiveness varies with the characteristics of the project. In particular, overseas construction is where uniqueness of the construction industry and the specificity of international business coexist. This study analyzes the bidding success ratio and the level of bidding difficulty by project characteristics with 12,952 overseas construction bidding cases. Consequently, it was found that the bidding success ratio of Middle East and North Africa (MENA) and civil engineering was the lowest in each group of project characteristics, and therefore the level of bidding difficulty is high, respectively. In addition, it was confirmed that the bidding success ratio of small size or short duration project was relatively high, and the bidding success ratio of both the negotiated bidding in the bidding method group and the private sector in the client type group was respectively high. However, Kruskal-Wallis test in contract type and period shows that there is no statistically significant difference in the bidding success ratio by group.

• Journal of Energy Engineering
• /
• v.11 no.1
• /
• pp.59-66
• /
• 2002

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilizing strategies of their own generation equipments. This paper presents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• autumn
• /
• pp.410-413
• /
• 2003

In order to build up competitive power in construction market and to cope with international policy, Design-Build bidding is one of the viable bidding system, encouraging collaboration between design office and building construction firm. Design-Build is a promising delivery system to help expediting schedules, saving costs, and improving Quality. However, the problems of Design-Build project in the domestic construction industry are not to be able to take advantages of fast-tracking and value engineering process, because of the problems of inappropriate system and participants' inexperience. The purpose of this study is to suggest alternatives for Design-Build bidding of public sector in the domestic construction industry in the costs, quality and time aspect.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.479-487
• /
• 2013

State Highway Agencies (SHAs) have started utilizing cost-plus-time bidding (A+B bidding) since Federal Highway Agency (FHWA) declared it operational on May 4, 1995. Although this technique has successfully accelerated many projects by incorporating construction time in the bidding competition, a framework to illustrate the interactions of incentive/disincentive (I/D) rates on the competitiveness of contractors participating in the bid competition is yet to be developed. In a previous research, authors indicated that for each bid competition there is an efficient cap for I/D rates which are dictated by the capabilities of contractors in project acceleration. However, the results of previous study were based on the assumption that there is a statistically significant relationship between cost and time. In this study, the entire cost-plus-time projects implemented by the Oklahoma Department of Transportation (ODOT) were investigated. Then the significance of relationship between cost and time were analyzed for each contractor utilizing Analysis of Variance (ANOVA) technique, and the price-time function of each contractor was determined by regression analysis. The results of the analysis indicate that there is a significant relationship between cost and time for the majority of contractors. However, a quadratic relationship is not always significant and for some contractors a linear price-time relationship is significant. The results of this project can be used not only by ODOT to optimize the incentive/disincentive rates but also by contractors to determine the most competitive strategies of other bid participants.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.271-274
• /
• 2005

Under competitive power markets, various long-term and short-term contracts based on spot price are used by producers and consumers. So an accurate forecasting for spot price allow market participants to develop bidding strategies in order to maximize their benefit. Artificial Neural Network is a powerful method in forecasting problem. In this paper we used Radial Basis Function(RBF) network to forecast spot price. To learn ANN, in addition to price history, we used some other effective inputs such as load level, fuel price, generation and transmission facilities situation. Results indicate that this forecasting method is accurate and useful.

• Proceedings of the KIEE Conference
• /
• 2001.11b
• /
• pp.57-59
• /
• 2001

The restructuring of power industry is still going on all over the world for last several decades. Many kinds of restructuring model has been studied, proposed, and applied. Among those models, power pool is more popular than others. This paper assumes the power pool market structure having competitive generation sector and a new method is presented to build bidding strategy in that market. The utilities participating in the market have the perfect information on their cost and price functions, but they don't know the strategy to be chosen by others. To define one's strategy as a vector, we make utility's cost/price function into discrete step function. An utility knows only his own strategy, so he estimates the other's strategy using stochastic methods. For considering these conditions, we introduce the Bayesian rules and noncooperative game theory concepts. Also additional assumptions are included for simplification of solving process. Each utility builds the strategy to maximize his own expected profit function using noncooperative Bayesian game. A numerical example is given in case study to show essential features of this approach.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.60 no.3
• /
• pp.509-516
• /
• 2011

This paper studies a novel method to find the profit-maximizing Nash Equilibriums in allocating generation quantities with consideration of ramp-rates under competitive market environment. Each GenCo in a market participates in a game to maximize its profit through competitions and play a game with bidding strategies. In order to find the Nash equilibriums it is necessary to search the feasible combinations of GenCos' strategies which satisfy every participant's profit and no one wants various constraints. During the procedure to find Nash equilibriums, the payoff matrix can be simplified as eliminating the dominated strategies. in each time interval. Because of the ramp-rate, generator's physically or technically limits to increase or decrease outputs in its range, it can restrict the number of bidding strategies of each generator at the next stage. So in this paper, we found the Nash Equilibriums for multi-stage generation allocation game considering the ramp-rate limits of generators. In the case studies, we analyzed the generation allocation game for a 12-hour multi-stage and compared it with the results of dynamic economic dispatch. Both of the two cases were considered generator's ramp-rate effects.