Smart-grid-orientated bidding power generation risk control method
A smart grid and risk control technology, applied in data processing applications, system integration technology, forecasting, etc., can solve problems such as complex closed-loop dynamic correction processes, and achieve the effects of low bidding risk, reduced complexity, and high power generation profits
Active Publication Date: 2014-01-01
EAST CHINA JIAOTONG UNIVERSITY
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However, a new problem will appear in the process: when the bidding strategy changes, the power generators are required to revise the electricity price forecast value in real time, and the change of the electricity price forecast value will cause the change of the bidding risk estimate. To control the level of bidding risk, it is necessary to adjust the bidding strategy again, and this cycle goes on and on, making bidding risk control a more complicated closed-loop dynamic correction process
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[0026] The parameters of a unit of a power generation company are shown in Table 1. Among them: a, b, c represent the characteristic parameters of the fuel cost curve, g, h are the valve point effect parameters; K 0 is the start-up cost of the turbine, K 1 is the start-up cost after the boiler is completely cooled, τ is the boiler cooling time constant, C fa is the average fixed cost, D is the shutdown cost; α, β, γ, ξ, λ are the harmful gas emission coefficients of the units (the emission function is ), which can be obtained by using the least square method according to the monitoring data of harmful gas emissions of the unit; q max and q min are the upper and lower limits of the unit output power, respectively, with Respectively, the minimum start-up time and the minimum stop time of the generator set, R d and R u Respectively, the maximum rate of decrease and increase of unit output during normal operation, R 0 and R 1 are the lower limit and upper limit of the ...
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Provided is a smart-grid-orientated bidding power generation risk control method. The smart-grid-orientated bidding power generation risk control method comprises the steps that (1) real-time influence of bidding behaviors of generation companies on the market electricity price is taken into account from the perspective of the power generation side, and a novel power generation side market electricity price prediction real-time correction mechanism is built on the basis of the wavelet decomposition and reconstruction theory and the differential evolutionary support vector machine theory; (2) on the basis of a power generation side market electricity price prediction real-time correction module and a bidding risk quantitative evaluation module, a novel bidding risk feedback compensation dynamic self-adaptation control mechanism is built by using the feedback compensation control principle and the rapid PID incremental algorithm, stable and reliable dynamic self-adaptation control over the bidding risk is achieved, therefore, linkage optimization of the offered electricity price is driven along with unit output in the time periods of a trading day, and key risk control method support is provided for achievement of low-cost energy saving and emission reduction of the power generation side of a smart grid and low-risk and high-yield bidding grid entrance. The smart-grid-orientated bidding power generation risk control method is applicable to multi-target optimization bidding power generation of the power generation side in the smart grid environment.
Description
technical field [0001] The invention relates to a smart grid-oriented bidding power generation risk control method, which belongs to the technical field of power generation economic operation. Background technique [0002] The essence of the smart grid is to solve the problems of grid-connected renewable energy and rational utilization of energy through the informatization, intelligence, and marketization of power transmission and distribution networks and electrical equipment. The construction of smart grid with low-carbon and environmental protection as an important goal will profoundly affect the development model of the future power market. In addition to economic goals, the future power market should further consider energy conservation and emission reduction factors, that is, to the so-called "green power". market" development. In addition, the power structure in the smart grid will also undergo major adjustments. The large-scale access of renewable energy and its inh...
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IPC IPC(8): G06Q10/04G06Q50/06
CPCY04S10/545Y02E40/76Y02E40/70Y04S10/50
Inventor 彭春华孙惠娟
Owner EAST CHINA JIAOTONG UNIVERSITY
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