A method and system for joint economic dispatch of power station groups

Abstract

The invention discloses a power station group combined economic dispatch method. The method comprises a step of constructing a target function of hydro-thermal power generation system minimum system fuel cost in advance, a step of solving the target function by using a preset algorithm and a spillage counting method under the premise of satisfying a constraint condition, wherein the spillage counting method comprises a step of counting the number of violation of storage capacity and hydropower output capacity of a hydropower station in each dispatch period, and obtaining a storage capacity violation total number and a hydropower output capacity total number, and a step of carrying out fitness calculation on a calculation result obtained by solving the target function by using a preset algorithm by using the storage capacity violation total number, the hydropower output capacity total number and a preset penalty coefficient. Obviously, the spillage counting method, the storage capacity violation total number, the hydropower output capacity total number and the preset penalty coefficient are used, the violation processing can be more reasonably carried out, the accuracy of adaptation degree calculation is ensured, and thus the solution of the target function is more accurate. In addition, the invention also discloses a power station group combined economic dispatch system correspondingly.

Description

technical field [0001] The invention relates to the technical field of engineering optimization, in particular to a method and system for joint economic scheduling of power station groups. Background technique [0002] With the development of society, the short-term water-fire joint economic dispatch of cascade power station groups is an important optimization problem in the daily power system operation. The joint economic dispatch problem has considerable economic and energy-saving benefits. However, considering various complex hydraulic and thermal system operating constraints and considering the valve point effect, the short-term hydro-thermal joint economic scheduling problem of cascade power station groups presents a series of high-dimensional, multi-constraint, non-convex, nonlinear, discontinuous and multi-dimensional problems. The characteristic of a local optimum increases the difficulty of solving the problem. With the maturation of system engineering theory and ...

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Problems solved by technology

[0003] In the prior art, common methods are divided into two categories: one is the traditional optimization method, mainly linear programming method, nonlinear network flow method, dynamic programming method, Lagrangian relaxation method, etc.; the other is the heuristic optimization method. Type intelligent optimization algorithms, such as particle swarm algorithm, improved differential algorithm, hybrid genetic fish swarm algorithm, improved quantum evolutionary algorithm, rapid evolutionary programming technology, chemical reaction algorithm, optimization-based teaching and learning algorithm, improved electromagnetic-like mechanism, etc., but these algorithms When dealing with defaults of hydropower plants and thermal power plants, the traditional default formula is still used to constrain the out-of-range value to the corresponding range. However, there is a direct coupling relationship between the storage capacity of hydropower plants and the power generation flow, so the traditional over-limit Processing method, it is difficult to calculate accurate calculation results

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