Electric power system optimizing swim and real time pricing method based on hyperplane form safety field periphery

Abstract

The invention discloses a power system optimization tide and a realtime pricing method based on the hyperplane form security domain boundary, using the quiescent voltage security domain in the cutset power space and the utility dynamic security domain in the injection power space to respectively show the quiescent voltage stabilization restriction and the transient stabilization restriction, further defining the complex security constraint set including the static state security constraint, the static state voltage security constraint and the transient security constraint. All the variables in the objective function and the constraint expression are the schedulable values injected into the power system of the power space before the accident, different expected accidents in the expected accident set are reflected in the coefficient change of the restriction expression. In the solving method, a processing method performing the decoupling optimization-iteration to the wattful and the wattless production cost is adopted, to obtain the wattful electricity price and the wattless electricity price and the component electricity price related to the different constraint, wherein the obtained component electricity price reflects that the power injection at different nodes corresponds to the effect of the restriction, thereby using the realtime electricity price to inspirit the market participants to actively maintain the system safety.

Description

technical field [0001] The invention relates to the technical field of electric power dispatching and electric power market of electric power system, in particular to a power system optimization power flow and real-time pricing method. Background technique [0002] In an open electricity market environment, a reasonable and effective electricity price is crucial to ensure the safe and economical operation of the power system. The real-time electricity price theory was first applied to active power pricing. The Lagrangian multiplier corresponding to the active power balance constraint when optimizing the power flow convergence is the active power real-time price. This method generally takes the minimum production cost or the maximum social benefit as the objective function. In the traditional electric power industry, since the links of generation, transmission, and distribution belong to the same power company, the reactive power allocation and dispatching decisions are often...

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Problems solved by technology

This work has made a good preparation for the comprehensive study of active and reactive power prices, but the expression of the objective function and constraints in literature [8] uses the branch angle as the optimization variable, which is not easy to take into account the expected accident set , and the physical meaning of the expression is not intuitively clear, and at the same time, no research has been done on the security price

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