High-elasticity power grid source grid load storage multi-element collaborative optimization control method

Abstract

The invention discloses a high-elasticity power grid source grid load storage multi-element collaborative optimization control method, which comprises the following steps of: firstly, establishing a multi-element collaborative optimization control model, namely analyzing the characteristics of power generation equipment on a power generation side in a power grid to obtain the output conditions of each power supply in each time period on a typical day; analyzing demand side response proceeding characteristics, and establishing a demand side response scheduling model to realize coordinated scheduling and effective interaction of supply and demand parties of the power grid; analyzing energy storage unit characteristics, establishing a model and analyzing power grid side constraint quantity; establishing an MOPSO-based collaborative optimization control method based on the control model, and establishing an objective function and a multi-objective optimization model; the source network load storage collaborative optimization scheduling problem is efficiently solved through MOPSO, and the feasibility of multi-objective optimization scheduling implementation is well guaranteed by setting an updating strategy of a non-inferior solution set. The method has the advantages that multiple resources are reasonably dispatched and stored in the source network load, and the economical efficiency of power grid operation is improved.

Description

technical field [0001] The invention relates to the field of optimal scheduling control of electric power systems, in particular to a multi-element collaborative optimization control method of source, network, load, and storage in a highly elastic power grid. Background technique [0002] During the operation of the traditional power system, the user's power load is generally regarded as random and uncontrollable, and the power system at this time is a one-sided stochastic system. However, with the large-scale construction and commissioning of renewable energy power generation, affected by the randomness and intermittent nature of renewable energy power generation, the previous one-sided stochastic system has been transformed into a two-sided stochastic system, which not only seriously affects the safe and stable operation of the power system. , will also reduce the overall economic efficiency of the system. To solve the bilateral random problem of the current power system, ...

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Problems solved by technology

However, with the large-scale construction and commissioning of renewable energy power generation, affected by the randomness and intermittent nature of renewable energy power generation, the previous one-sided stochastic system has been transformed into a two-sided stochastic system, which not only seriously affects the safe and stable operation of the power system. , will also reduce the overall economic efficiency of the system, and to solve the double-sided stochastic problem of the current power system, it is necessary to fully mobilize resources in all aspects of the power system to form a set of multi-element collaborative optimization including power supply, power grid, load, energy storage and other elements The control method is the current research hotspot

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