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Provincial power-grid monthly electricity purchasing risk management method considering wind power uncertainty

A provincial power grid, power purchase risk technology, applied in computing, data processing applications, instruments, etc., can solve the problem that the monthly electricity cannot be kept in balance, is not suitable for the market environment, and the peak load and valley load status system is difficult to adjust peaks. And other issues

Inactive Publication Date: 2016-06-08
STATE GRID CORP OF CHINA +3
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AI Technical Summary

Problems solved by technology

However, in view of the large randomness of wind power output and the serious lag of its forecasting technology, the existing literature focuses more on the daily time domain when studying the power purchase plan with wind power output uncertainty. [6-8] At present, there is no literature report on incorporating wind power into the monthly power balance, which makes provincial power grids with a large proportion of wind power face huge challenges when formulating monthly power purchase plans
[0004] In the existing monthly power purchase plan research, literature [9-11] established a provincial power grid monthly power purchase plan model that only includes pure thermal power systems, and did not consider the randomness of load power; literature [12] considered the randomness of load power The monthly power purchase plan model of the provincial power grid for the pure thermal power system was established; the literature [13-15] studied the monthly power purchase plan model under the pure market environment, but did not consider the randomness of wind power output, which is not suitable for my country The market environment of "wind-fixed power", and did not consider the safety constraints of branch power flow; literature [16] established a provincial power grid monthly power purchase plan model including the randomness of hydropower output, but did not consider the safety constraints of branch power flow; literature [16] [17] When establishing the monthly power purchase plan model of the provincial power grid including the randomness of hydropower output, it is required that the "arbitrary random state" strictly satisfy the safety constraints of branch power flows, which cannot meet the needs of maximizing economic benefits in the market environment
[0005] In the regional power market environment, due to the strong coupling relationship between off-grid power purchase plans and power quantities (there must be a definite functional relationship between power and quantity) [18] As well as the superimposed effect of the large uncertainty of wind power output, under the current reality that the structure of my country's power grid is generally weak, this is likely to make the provincial power grid face the following three serious problems in the monthly power purchase: 1) The monthly peak load and It is difficult to adjust the peak up and down of the system in the valley load state; 2) The power flow of each branch in the monthly peak load and valley load state has exceeded the limit; 3) The monthly power cannot maintain balance

Method used

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  • Provincial power-grid monthly electricity purchasing risk management method considering wind power uncertainty
  • Provincial power-grid monthly electricity purchasing risk management method considering wind power uncertainty
  • Provincial power-grid monthly electricity purchasing risk management method considering wind power uncertainty

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Experimental program
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Embodiment Construction

[0101] The monthly power purchase plan simulation is carried out using the basic data of a provincial power grid company. The expected value of the power grid’s monthly load demand is 4.506GkW·h, with a standard deviation of 0.09012GkW·h; the peak load and valley load power of the system are 8000MW and 6000MW respectively; The expected value of wind power output in the load state and the valley load state is 600MW and 800MW respectively, and the standard deviation is 20.0% of the corresponding expected value. The wind power price is 560.0 yuan / MW h; MW·h; the data of purchased power units can be found in literature [17]; the basic data of power grid structure is known. For the convenience of simulation, the limit value of each risk level is taken as 10.0%; the Latin hypercube sampling scale is 500 times; the genetic algorithm population size is 80, the crossover probability is 0.60, the mutation probability is 0.10, the maximum number of iterations is 300, and the iteration te...

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Abstract

The invention relates to a provincial power-grid monthly electricity purchasing risk management method considering wind power uncertainty. The method comprises the following steps of establishing a monthly peak load and valley load state peak adjustment risk measurement index; establishing a monthly peak load and valley load state branch trend out-of-limit risk measurement index; establishing a monthly electric quantity balance up and down out-of-limit risk measurement index; and establishing a provincial power-grid monthly electricity purchasing risk management method model. The method has the advantages that the established monthly peak load and valley load state peak adjustment, the monthly peak load and valley load state branch trend out-of-limit risk and the monthly electric quantity balance up and down risk measurement index can realize effective measurement of a monthly electricity purchasing plan risk and physical connotation of an electric power market risk measurement index is enriched; the established provincial power-grid monthly electricity purchasing risk management method model can realize effective management between economic benefits and the risks so that a new idea is provided for future bringing large scale wind power into monthly electric power and energy balance.

Description

technical field [0001] The invention relates to a monthly power purchase risk management method of a provincial power grid considering the uncertainty of wind power. Background technique [0002] In the electricity market environment, the operating goal of the power grid company is to achieve the greatest economic benefits on the basis of safe operation of the power grid, and the realization of this goal is generally obtained by the monthly power purchase plan accounting for more than 80% of the total transaction volume and the expansion of this Annual power purchase plan completed [1] . Therefore, the research on the monthly power purchase plan has important practical significance for the realization of the economic benefits of the power grid company. [0003] On the other hand, the regional differences in China's electricity supply and demand determine the decisive role of the regional electricity market (this paper specifically refers to the common electricity market) i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 郭琳文旭方印赵志强赵蕾黄磊陶力蒋振涌史述红高春成代勇谭翔汪涛薛佳兴刘大为王蕾
Owner STATE GRID CORP OF CHINA
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