A day-ahead optimal scheduling method for power systems considering demand-side response uncertainty
A demand-side response and uncertainty technology, applied in information technology support systems, wind power generation, electrical components, etc., can solve problems with high complexity, achieve the effect of improving operational efficiency, improving the level of refinement, and reducing complexity
Active Publication Date: 2021-09-03
STATE GRID JIANGXI ELECTRIC POWER CO
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Problems solved by technology
First, based on the price-elastic demand curve, with the optimization goal of maximizing social welfare, and considering the uncertainty of the demand-side response and the actual operation constraints of the system, an optimal scheduling model of the power system with indirect control on the demand side is constructed; then, the complexity of the model is solved High problems, a sequential optimization algorithm suitable for uncertain environments is proposed to solve the model
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[0095] A day-ahead optimal scheduling method for power systems considering demand-side response uncertainty, comprising the following steps:
[0096] Step 1: Uncertainty modeling at the source and load side
[0097] Step 1.1: Uncertainty Modeling of Demand Side Response
[0098] The present invention aims at the demand side response based on the electricity price, and considers the uncertainty of the price elastic demand curve according to the variation relationship between the electricity price and the electric energy demand, such as figure 1 As shown, the demand side response model is established on this basis.
[0099] The mathematical expression of the price elastic demand curve is:
[0100]
[0101] or
[0102]
[0103] In the formula: Represents the deviation of uncertainty used to describe the price elastic demand curve. Following the steps to approximate price-elastic demand, the curve acts as a piecewise function, for each electricity price in the price-el...
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The invention belongs to the field of power grid dispatching, and specifically relates to a day-ahead optimization dispatching method of a power system considering demand-side response uncertainty, which is used to solve the dynamic economic dispatching problem of a power system containing new energy. First, based on the price-elastic demand curve, with the optimization goal of maximizing social welfare, and considering the uncertainty of the demand-side response and the actual operation constraints of the system, an optimal scheduling model of the power system with indirect control on the demand side is constructed; then, the complexity of the model is solved To solve the high problem, an ordinal optimization algorithm suitable for uncertain environment is proposed to solve the model. The simulation results based on the IEEE30 node calculation example show that the scheduling method proposed by the present invention can effectively reduce the operating cost of the power system and improve its operation refinement level due to the full consideration of the uncertainty of the source-load side scheduling resources.
Description
technical field [0001] The invention relates to a day-ahead optimization scheduling method of a power system considering demand-side response uncertainty, and relates to the field of power system scheduling. Background technique [0002] Wind power and photovoltaics are non-polluting, green renewable energy sources that are widely distributed and have high energy density, making them suitable for large-scale development. Therefore, wind power and photovoltaic power generation technologies have received great attention from all over the world. Although large-scale grid-connection of new energy can alleviate environmental pressure and energy crisis to a certain extent, due to the randomness, volatility and uncontrollable characteristics of most of them, their large-scale integration will affect the safe and stable operation of the power grid. have a certain impact. With the steady advancement of smart grid construction, the demand-side response methods in the system are gradu...
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IPC IPC(8): H02J3/00H02J3/46G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q10/06315G06Q50/06H02J3/386H02J3/00H02J3/46H02J3/003H02J2203/20Y02E10/76Y04S10/50
Inventor 黎华盛乔静
Owner STATE GRID JIANGXI ELECTRIC POWER CO