CN-122022328-A - Grid-connected cost dredging method for promoting new energy consumption of power system

CN122022328ACN 122022328 ACN122022328 ACN 122022328ACN-122022328-A

Abstract

The invention relates to the technical field of new energy and discloses a grid-connected cost dredging method for promoting new energy consumption of an electric power system, which comprises the steps of establishing a double-layer optimization model, wherein a lower-layer model is an optimization scheduling model of the electric power system, an upper-layer model aims at the minimum energy storage investment cost of the electric power system and the minimum operation cost of the electric power system of the lower-layer model, planning energy storage capacity for the electric power system, and generating a scheduling scheme of the electric power system under the energy storage capacity determined by the upper-layer model; taking the minimum value of the standby capacity of the power system under the preset confidence level as risk standby, taking the condition average value of the actual standby capacity lower than the risk standby as the condition risk standby, determining the allocation proportion of new energy and load to the standby capacity in the power system according to the influence of the risk factors of the power system on the condition risk standby, and reasonably dredging the grid-connected cost of the new energy by configuring the energy storage capacity of the power system or enabling the new energy and load to provide the standby capacity according to the allocation proportion.

Inventors

WANG XIULI
MA QIYUE
WANG JIANXUE
WU BO
DING YING
HUANG XINYI
ZHANG QIAN

Assignees

西安交通大学

Dates

Publication Date: 20260512
Application Date: 20260129

Claims (10)

1. A grid-connected cost dredging method for promoting new energy consumption of an electric power system is characterized by comprising the following steps: after new energy is acquired and integrated into a power grid, except for the leveling degree electric cost of self-generating operation, the system cost increment brought to the power system is additionally taken as the grid-connected cost of the new energy; Adopting a time sequence production simulation method, and establishing an optimized scheduling model of the power system by taking the minimum total running cost of the power system as a target; establishing a double-layer optimization model for planning the energy storage capacity of the power system, wherein a lower layer model of the double-layer optimization model is an optimization scheduling model, an upper layer model aims at the minimum energy storage investment cost of the power system and the minimum total operation cost of the lower layer model, the energy storage capacity of the power system is planned, and the lower layer model generates a scheduling scheme of the power system under the energy storage capacity determined by the upper layer model; Taking the minimum value of the standby capacity of the power system under the preset confidence level as risk standby, taking the condition average value of the actual standby capacity lower than the risk standby as condition risk standby, and determining the allocation proportion of new energy and load to the standby capacity in the power system according to the influence degree of the risk factors of the power system on the condition risk standby; And configuring the energy storage capacity of the power system according to the planned energy storage capacity, or enabling the new energy and the load to provide the spare capacity according to the allocation proportion of the spare capacity so as to dredge the grid-connected cost of the new energy.
2. The grid-connected cost dispersion method for promoting new energy consumption of an electric power system according to claim 1, wherein the adopting the time sequence production simulation method, aiming at the minimum total running cost of the electric power system, establishes an optimized scheduling model of the electric power system, comprises: constructing an objective function by taking the minimum wind and light discarding cost and the minimum unit operation cost of the electric power system as targets; Constructing constraint conditions according to the output constraint, the climbing constraint, the start-stop state constraint and the rotation standby constraint of the thermal power generating unit, the output constraint, the climbing constraint, the start-stop state constraint and the rotation standby constraint of the hydroelectric generating unit, the output constraint of the new energy power plant, the power balance constraint and the rotation standby constraint of the electric power system; and combining the objective function and the constraint condition to establish an optimal scheduling model of the power system.
3. The grid-tie cost grooming method that facilitates new energy consumption in an electrical power system of claim 2, wherein the upper model of the two-layer optimization model comprises: Upper layer objective function : ; ; In the formula, In order to optimize the objective function of the scheduling model, Investment cost for energy storage capacity; Is a conversion coefficient; And The rated capacity and the rated power of the energy storage system are respectively; investment cost coefficients for capacity; the power investment cost coefficient; upper layer constraint: ; ; In the formula, The allowable maximum value of the cost is planned for the investment of the energy storage system; the maximum charge and discharge multiplying power of the energy storage system is obtained; the lower model of the double-layer optimization model comprises: The lower objective function is constructed by taking the minimum cost of wind and light abandoning, unit operation cost and energy storage participation regulation of the electric power system as the objective; Lower layer constraint, namely, according to the output constraint, climbing constraint, start-stop state constraint and rotation standby constraint of the thermal power generating unit, the output constraint, climbing constraint, start-stop state constraint and rotation standby constraint of the hydroelectric generating unit, the output constraint of a new energy power plant, the power balance constraint and rotation standby constraint of an electric power system, and the charge and discharge state constraint, charge and discharge power constraint, energy storage capacity constraint and power balance constraint of an energy storage system.
4. The grid-connected cost grooming method for facilitating new energy consumption in an electrical power system according to claim 1, wherein the backup capacity of the electrical power system is: ; Wherein, the above formula is the positive spare capacity, The following is a negative spare capacity, ; And Representing upper and lower limits of output of unit i, and random variable y includes wind-light uncertainty output And a load with prediction error Decision variables , Representing the proportion of the generated energy of the unit i to the installed capacity of the unit i; the risk backup RaR is: ; In the formula, For the reserve capacity to be a prescribed value, A preset confidence level; the conditional risk reserve CRaR is: ; In the formula, Is the probability density of the risk factor.
5. The grid-connected cost dispersion method for promoting new energy consumption of an electric power system according to claim 4, wherein the allocation ratio of new energy and load to spare capacity in the electric power system is: ; ; In the formula, The proportion of spare capacity which should be allocated for new energy and load; the influence degree of the conventional unit power plant, the new energy power plant and the load on CRaR is shown, CRaR is the total condition risk standby value when all risks are considered, And the standby value is a conditional risk standby value when the new energy prediction error and the load error risk are not included.
6. The grid-connected cost dispersion method for promoting new energy consumption of an electric power system according to claim 1, wherein the optimal scheduling model of the electric power system is a mixed integer programming model, and a CPLEX solver is adopted for solving.
7. The grid-connected cost grooming method for promoting new energy consumption of an electric power system according to claim 1, wherein the double-layer optimization model is solved by adopting a bacterial foraging algorithm.
8. The grid-tie cost grooming method that facilitates new energy consumption in an electrical power system of claim 1, wherein the grid-tie cost comprises a dynamic cost and a static cost; The dynamic cost comprises start-stop cost generated by frequent start-stop of the thermal power unit due to new energy fluctuation, new energy power generation cost forced to be abandoned for maintaining the balance of the system, thermal power operation cost consisting of coal consumption cost, additional coal consumption cost and unit life loss cost of the thermal power unit; the static cost comprises the standby capacity cost increased for coping with the uncertainty of new energy output and the idle cost generated by the reduction of the utilization hours due to the reduction of the power generation of a conventional unit caused by new energy grid connection.
9. A computer device comprising at least one processor and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the grid tie cost mitigation method of facilitating new energy consumption of an electrical power system as set forth in any one of claims 1 to 8.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the grid-tie cost grooming method for facilitating new energy consumption of an electric power system according to any one of claims 1 to 8.

Description

Grid-connected cost dredging method for promoting new energy consumption of power system Technical Field The invention relates to the technical field of new energy, in particular to a grid-connected cost dredging method, equipment and medium for promoting new energy consumption of an electric power system. Background Considering that the new energy output has the characteristics of volatility and intermittence, in order to ensure the power supply and demand balance, the adjustment capability of the power system needs to meet higher requirements, and the thermal power, the power grid and the energy storage system need to provide higher support and adjustment capability, so that the peak regulation cost of other power supplies, the power transmission and distribution construction cost of the power grid, the energy storage construction cost and the like are increased, and the costs can be used as the grid connection cost of the new energy. To facilitate new energy consumption of the power system, the dredging of grid-connected costs is crucial. Grid-connected cost dispersion refers to a process of reasonably transferring construction cost, operation cost and system adjustment cost generated by accessing new energy power generation projects (such as wind power and photovoltaic) or novel energy storage power stations and other facilities into a public power grid in an electric power system to relevant responsible bodies or beneficiaries through a specific price mechanism or a cost allocation mode. The core of the mechanism is to ensure the economic rationality of the investment of the power grid and the operation of the system, and avoid the cost born by a single main body, thereby ensuring the safe and stable operation of the power system and the smooth promotion of energy transformation. ‌ A However, at present, the influence of new energy grid connection on the main bodies such as a conventional power supply, a power grid and the like in the power system cannot be measured, so that a reasonable dredging mechanism cannot be formulated, and the dredging is not smooth, so that the other main bodies can bear most of the system cost passively, and the enthusiasm of the other main bodies for supporting new energy consumption is weakened. Disclosure of Invention The invention aims to provide a grid-connected cost dredging method, equipment and medium for promoting new energy consumption of an electric power system, which can solve the technical problem that the prior art cannot reasonably dredge the new energy grid-connected cost. In order to solve the above problems, an embodiment of the present invention provides a grid-connected cost grooming method for promoting new energy consumption of an electric power system, including the following steps: after new energy is acquired and integrated into a power grid, except for the leveling degree electric cost of self-generating operation, the system cost increment brought to the power system is additionally taken as the grid-connected cost of the new energy; Adopting a time sequence production simulation method, and establishing an optimized scheduling model of the power system by taking the minimum total running cost of the power system as a target; establishing a double-layer optimization model for planning the energy storage capacity of the power system, wherein a lower layer model of the double-layer optimization model is an optimization scheduling model, an upper layer model aims at the minimum energy storage investment cost of the power system and the minimum total operation cost of the lower layer model, the energy storage capacity of the power system is planned, and the lower layer model generates a scheduling scheme of the power system under the energy storage capacity determined by the upper layer model; Taking the minimum value of the standby capacity of the power system under the preset confidence level as risk standby, taking the condition average value of the actual standby capacity lower than the risk standby as condition risk standby, and determining the allocation proportion of new energy and load to the standby capacity in the power system according to the influence degree of the risk factors of the power system on the condition risk standby; And configuring the energy storage capacity of the power system according to the planned energy storage capacity, or enabling the new energy and the load to provide the spare capacity according to the allocation proportion of the spare capacity so as to dredge the grid-connected cost of the new energy. Further, the method for simulating time sequence production is used for establishing an optimal scheduling model of the power system by taking the minimum total running cost of the power system as a target, and comprises the following steps: constructing an objective function by taking the minimum wind and light discarding cost and the minimum unit operation cost of the electric power system as targets; Constructing c