Research on Optimal Dispatching of Cascade Reservoirs Based on Electricity Price Prediction under the Environment of Electric Power Market

Lu, Jia; Liu, Ben-xi; Wang, Yibing; Cheng, Chuntian; null, Fu-Chen

doi:10.1061/9780784481400.011

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…e currently available methods include (1) a method to forecast the market clearing price [1][2][3][4]; (2) a method based on risk management [5,6]; (3) a method to forecast and estimate the strategies of competitors [7]; and (4) a method based on game theory. Much research has been conducted on the first method, which is applicable to IPPs as the pricetaker.…”

Section: Introductionmentioning

confidence: 99%

Long-Term Bidding Scheduling of a Price-Maker Cascade Hydropower Station Based on Supply Function Equilibrium

Liu

Huang

et al. 2022

Mathematical Problems in Engineering

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How cascade hydropower stations (CHSs) play the electricity market game is regarded as an important issue. The majority of the work to date has focused on short-term horizons and several simplifications in the hydropower system. If future prices are expected to be higher than the current price, CHSs with large reservoirs allow the bidder to postpone energy production for a longer time scale, such as several months or more, which generally matches with the regulation period of the reservoir. Rejecting the assumption of simplifying the hydropower system (ASHS), the long-term bidding strategy of CHSs is discussed for a price-maker based on the supply function equilibrium (SFE). This study considers multiple price-makers, time-coupling, and the characteristics of the hydropower system, with significant challenges. The difference from the conventional model is that the long-term optimal scheduling model of CHSs is added. Moreover, a new methodology is proposed, the equilibrium curve of the uniform clearing price (UCP) is introduced, and the Nash equilibrium solutions are solved based on the nonlinear complementarity approach. In a simulated electricity market, the result can validate the feasibility of the model and adopted methodology and the rationality of the results by taking certain CHSs with multireservoir as an example. The negative influence of ASHS is analyzed, which shows that the characteristics of the hydropower system should be fully considered in the long-term bidding research. Future study aspects are also considered, which are presented as the key issues such as market assumptions and randomness.

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Section: Introductionmentioning

confidence: 99%

Long-Term Bidding Scheduling of a Price-Maker Cascade Hydropower Station Based on Supply Function Equilibrium

Liu

Huang

et al. 2022

Mathematical Problems in Engineering

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“…The utilization of water environment capacity has already become the scientific basis of China's water quality management and is also the theoretical basis of environmental policy such as capacity control, emission trading and permit system of pollution discharged [2]. China led on to many studies on water environment along with stricter and stricter control system of total emission [3][4][5][6][7][8][9][10][11]. Generally, most of the researches aim on rivers of big basins and important lake reservoirs, which can be deeply studied with professional software, since many monitoring sections of aquatic environmental quality and hydrological stations exist in those areas and a large amount of basic materials and data can be supplied.…”

Section: Introductionmentioning

confidence: 99%

Research on the water environment capacity of Qingyi River (Xuchang Section) with GIS technology

Chunxiao

et al. 2017

MATEC Web Conf.

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Abstract. Water environment capacity calculation is the foundation of basin environment management. Due to lack of basic materials and data, the water environment capacity in small basin was not massively researched with appropriate calculating method. This paper mentioned a water capacity calculating method suitable for environment management. The method was based on the study of Xuchang Section of Qingyi River and described with details as follows: Xuchang Section was divided into four control units with GIS technology. The river pollution loads of non-point source pollutants from farmland runoff, rural life, livestock and poultry were calculated with the in-site and statistical data of pollution resource. Meanwhile the calculated river pollution loads of non-point / point source pollutants were statistically analyzed on the basis of control units. Then a water quality module was tested and verified, in which the predicted value tallied with the measured value. The parameter of this water quality module corresponds to the in-site data within relative error ±14%. This module was used to estimate and calculate water environment capacity. With this module the available water environment capacity of each control unit and pollutant reduction amount can be earned through deducting the river pollutant load of point pollutant. The results showed that the utilized method in this paper can satisfy the requirement for the calculating accuracy of small basin water environment capacity.

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Research on Optimal Dispatching of Cascade Reservoirs Based on Electricity Price Prediction under the Environment of Electric Power Market

Cited by 2 publications

References 2 publications

Long-Term Bidding Scheduling of a Price-Maker Cascade Hydropower Station Based on Supply Function Equilibrium

Long-Term Bidding Scheduling of a Price-Maker Cascade Hydropower Station Based on Supply Function Equilibrium

Research on the water environment capacity of Qingyi River (Xuchang Section) with GIS technology

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