Multi-target reactive power optimization method based on efficiency coefficient linear weighting method

Abstract

The invention discloses a multi-target reactive power optimization method based on an efficiency coefficient linear weighting method. In the process of multi-target reactive power optimization, it is unnecessary to construct a single-target function to be optimized with directly weighting multiple target functions, instead, the efficiency coefficient of each target function is first obtained through calculation, then on the basis, a single-target function for evaluating the efficiency coefficients of all the target functions is constructed to be optimized, it is avoided that because all the target functions are not uniform in magnitude order, the optimization result is unfair, and meanwhile the conditions of being approximate to the optimal value are visually judged for all single objects. The multi-target reactive power optimization method has the advantages that in the process of reactive power optimization, optimum of the multiple targets is comprehensively considered, and a good and fair competitive environment is provided for all the target functions; the conditions of being approximate to the optimal solution can be known in a quantified mode for all the target functions, and in the actual operation process of a program, the preference degrees of all the target functions can be coordinated as long as weight coefficients corresponding to all the target functions are set.

Description

technical field [0001] The invention relates to a multi-objective reactive power optimization method based on a linear weighting method of efficiency coefficient, and belongs to the technical field of electric power. Background technique [0002] At present, power system reactive power optimization refers to changing the system by adjusting the terminal voltage of the generator, adjusting the tap ratio of the on-load tap changer, and changing the output of the reactive power compensation device under the various operating constraints of the system. Reactive power flow distribution, so as to achieve the optimization goals such as minimizing the active power loss of the whole network or minimizing the node voltage deviation. With the continuous development of China's power system, the continuous expansion of the grid scale and the access of more and more new energy sources, the power system is becoming more and more complex, and there are more and more problems. Therefore, the...

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Problems solved by technology

However, all of the above-mentioned methods have a big disadvantage: to obtain a solution intelligently for each calculation, it takes multiple calculations to obtain a set of Pareto solution sets, so the calculation speed is too slow and it is difficult to realize engineering applications

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