Day-ahead power system economical dispatching method

A technology of power system and economic dispatch, applied in the field of power system, can solve problems such as improving the calculation efficiency of the economic dispatch model

Active Publication Date: 2013-03-20
CHINA ELECTRIC POWER RES INST +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the optimization solution of the day-ahead economic dispatch linear model commonly used at home and abroad is mostly calculated by commercia

Method used

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  • Day-ahead power system economical dispatching method
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  • Day-ahead power system economical dispatching method

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Embodiment 1

[0063] Embodiment 1 of a method for economic dispatch of a day-ahead power system provided by the present invention is an embodiment of a method for economic dispatch of a day-ahead power system.

[0064] Specifically, in step S2, the constraints established for the power system to satisfy the load balance constraints, the generator set operation constraints and the contract power constraints include the cost constraints of the generating units, the system load balance constraints, the upper and lower limits of the output of the generating units, the climbing constraints of the generating units and the contract power constraints. .

[0065] The operating cost C of generator set i in period t i [p i (t)] is usually a quadratic function: C i [p i (t)]=a i p i 2 (t)+b i p i (t)+c i , where a i , b i , c i are the unknown quadratic function coefficients.

[0066] For the operating cost C of generator set i in period t i [p i The quadratic function of (t)] is piecewi...

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Abstract

The invention provides a day-ahead power system economical dispatching method which includes the following steps: step S1, modeling a linear programming mathematical model of the day-ahead power system economical dispatching method; step S2, building constraint conditions which enables the power system to satisfy a load balancing constraint, a machine group operating constraint and a contract power constraint, and forming a constraint matrix A by ordering the constraint conditions according to an attribute of variable relating to each constraint condition; step S3, using a predictor-corrector interior point method to get a result which can satisfy the constraint matrix A of an objective function, wherein the objective function of the mathematical model is that T is session number in the period of system dispatching, M is set number of system generators, pi (t) is active power of generator set i in a t period, and Ci [pi (t)] is an operating cost of the generator set i in the t period. The day-ahead power system economical dispatching method uses the predictor-corrector interior point method to solve and the predictor-corrector interior point method is low in an initial point requirement, good in astringency and rapid in astringency speed.

Description

technical field [0001] The invention relates to the field of electric power systems, in particular to a method for economic dispatch of a day-ahead electric power system. Background technique [0002] With the advancement of smart grid construction, the requirements for the optimal allocation of power grid resources are constantly increasing, which puts forward higher requirements for dispatching operation and dispatching plans. The day-ahead economic dispatch method is based on the daily unit start-stop power generation plan determined by the day-ahead unit combination, takes the minimum system as the goal, adjusts the unit output in real time according to the ultra-short-term predicted load, and satisfies the load balance constraints, unit operation constraints and contract power constraints. Realize energy saving and economic dispatch. In recent years, day-ahead economic dispatch has been successfully applied in the field of real-time dispatching abroad. The tools relate...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY04S10/54Y04S10/50
Inventor 蔡帜周京阳潘毅戴赛崔晖许丹
Owner CHINA ELECTRIC POWER RES INST
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