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This paper proposes a systematic method for evaluation of optimal spot prices using genetic algorithm as well as classical method. Spot pricing of electricity in a power system was proposed during early eighties considering unit generation and consumer usage as decision variables. With restructuring followed by deregulation, a number of players have started participating in the competitive power market...
The problems concerning multi-mineral source, multi-ore-dressing plant, multi-mineral of complex mining and ore-dressing systems in regional mine emerge gradually, with resources changes in new areas, such as an unreasonable overall layout of production, overlap and duplicated construction. From the perspective of complex systems theory, this article used the theories and methods of system science,...
Dam adaptive management is an effective way to river ecosystem restoration, yet it may decrease the traditional output of hydro project. This paper developed an optimization model of dam operation based on Genetic Algorithms, with annual electricity as objective and ecological flow demands as major constraints. Through this model, an optimal operation plan on reservoir dispatching can be achieved...
With the policy of "plant and network separation, electricity price bidding" carrying out, the maximum profit is pursued, and the rule of maximum power generation energy in the past is substituted by the power generation benefit in the electric power market. The time-varying electricity price policy is analyzed and a optimal operation model is established. The model takes the maximum annual...
Aiming at the risk management that electricity purchasers will face in power purchase of four markets under the framework of the electricity market, two purchasing electricity models about the restrictions or non-restriction are set up by means of Variance measuring risk. Meanwhile, this paper also proposes several feasible algorithms to minimize risks, including statistical genetic algorithms (SGA)...
Electricity market price may not always be a reference to determine the existence of market power. This paper discusses why electricity price in a day-ahead electricity market may exhibit peaks without representing market manipulation by any of the players. We use genetic algorithms to simulate the trading behavior of artificial agents in the spot market. Two case studies are reported and the results...
The main benefit of implementing interruptible load (IL) management for power suppliers is from the impacts of the level of demand for electricity on spot prices. In terms of conditional value at risk as the measuring index for market risk, a model of load curtailing strategies for power suppliers considering the co-utilization of the IL with low price (ILL) and the IL with high compensation price...
Aiming at the choices and risk management that electricity purchasers will face to purchase power in four markets under the framework of the electricity market. This paper, which uses semi-variance to measure risk, has established two risk decision-making models based on restrictive and non-restrictive buy/sell through risks measured by semi-variance. Meanwhile, it proposes to minimize the risks on...
This paper focuses on establishing the electricity consumption-forecasting model based on the gene expression programming that was brought forward by a Portuguese researcher, named Ferreira C. in 2001. The result demonstrates that the methodology that can overcome barriers such as: limited data, complex calculating process, is feasible and effective with higher accuracy.
Market power is one of the main concerns in the Italian electricity market. Transmission constraints and highly concentrated ownership structure in the market have been allowing firms to exercise market power and raise electricity prices above marginal cost. This paper presents a supply function equilibrium (SFE) model for analyzing the exercise of potential market power in the Italian electricity...
Based on data collected previously on the electricity market of the East China, we use stepwise regression method to find the approximate expression of the active power flow of each power sets on East Chinapsilas certain electrical network. Then classified discussion is carried out according to the difference of the capacity in and out of merit in order to obtain a simple and reasonable rule for calculating...
With the development of high rate data transmission technology via distribution line communication, the electric power, data, voice and video can be transferred in the same electric power distribution network, and the technology will be put in operation widely in the future. However the traditional technology of power line communication is not adaptable to the complex and harsh environment of distribution...
Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-cost...
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