CN115425664A - Power distribution network electric quantity balancing method considering energy storage configuration and demand side management - Google Patents

Abstract

The invention discloses a power distribution network electric quantity balancing method considering energy storage configuration and demand side management, which comprises the following steps: acquiring basic data information of the power distribution network; setting a target function and constraint conditions, and constructing a power and electricity balance model of the power distribution network considering energy storage configuration and demand side management; solving the model by adopting a branch-and-bound algorithm to obtain the minimum installation capacity of the transformer substation of the power distribution network; according to the power distribution network power and electric quantity balancing method considering energy storage configuration and demand side management, the power distribution network power and electric quantity balancing model is constructed by considering energy storage configuration and demand side management, research on the power distribution network power and electric quantity balancing method considering energy storage configuration and demand side management is achieved, and the transformer substation commissioning cost of the power distribution network is reduced.

Description

A distribution network power balance considering energy storage configuration and demand side management method

technical field

The technical field that the present invention relates to is the technical field of distribution network, and in particular relates to a distribution network electric power balance method considering energy storage configuration and demand side management.

Background technique

The high proportion of new energy represented by wind power and photovoltaics connected to the distribution network may cause the distribution network to face problems such as abandoning wind and solar energy, voltage exceeding the limit, reverse flow, and unreliable power supply. Carry out power balance analysis to guide the orderly access and full consumption of new energy while reducing the investment cost of substations.

To conduct power balance analysis of distribution network, the following issues need to be considered:

(1) There are uncertainties in wind power, photovoltaic and load;

(2) It is necessary to fully consider the demand side management of energy storage configuration, so as to obtain a more reasonable maximum admission capacity of new energy.

Contents of the invention

The purpose of this section is to outline some aspects of embodiments of the invention and briefly describe some preferred embodiments. Some simplifications or omissions may be made in this section, as well as in the abstract and titles of this application, to avoid obscuring the purpose of this section, the abstract and titles, and such simplifications or omissions should not be used to limit the scope of the invention.

In view of the above problems, the present invention has been proposed.

Therefore, the technical problem to be solved by the present invention is to reduce the investment cost of the substation, meet the demand for full consumption of new energy represented by wind power and photovoltaic, improve energy utilization rate, and adapt to the development of new distribution network.

In order to solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for power balance of distribution network considering energy storage configuration and demand-side management, including:

Obtain basic data information of distribution network;

Set the objective function and constraint conditions, and build a distribution network power balance model considering energy storage configuration and demand side management;

The branch-and-bound algorithm is used to solve the model, and the minimum installed capacity of the substation in the distribution network is obtained.

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, in which: the energy storage configuration and demand side management need to be considered in the process of constructing the distribution network power balance model, and the relevant Measures are embedded in the model in the form of constraints.

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, wherein: the objective function includes: the minimum installed capacity of the substation is the goal, expressed as follows:

为第i个节点新增配置的变电容量。Among them, N _sub,i is the number of nodes where the substation is installed;

Add the configured variable capacity for the i-th node.

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, wherein: the constraints include: power balance, energy storage operation constraints, demand side management and distributed new energy operation constraints .

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, it includes: the power balance constraints of the distribution network are as follows:

和

分别为t时刻节点i的变电站有功出力、光伏有功出力、风机有功出力；

为t时刻节点i的负荷有功需求；

为t时刻节点i的变电站无功出力。in,

with

Respectively, the substation active output, photovoltaic active output, and fan active output of node i at time t;

is the load active demand of node i at time t;

It is the reactive power output of the substation of node i at time t.

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, wherein: the energy storage operation constraints include: the operation of the energy storage connected to the distribution network node i needs to meet the following constraints:

和

分别为储能充放电功率；0-1变量γ_i,t表征储能充放电状态，1为放电，0为充电；P_i ^BES为单个储能模块的额定功率；

为储能电量；

和

分别为储能充、放电效率；Δt为相邻调度时刻之间的时长；S_i,max和S_i,min分别为储能荷电状态上、下限；

和

分别为调度初始时刻与末尾时刻的电量。in,

with

are energy storage charging and discharging power; 0-1 variable γ _i,t represents the energy storage charging and discharging state, 1 is discharging, 0 is charging; P _i ^BES is the rated power of a single energy storage module;

for energy storage;

with

are the charging and discharging efficiencies of the energy storage, respectively; Δt is the time between adjacent scheduling times; S _i,max and S _i,min are the upper and lower limits of the state of charge of the energy storage, respectively;

with

are the power at the initial time and the end time of the scheduling, respectively.

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, wherein: the demand side management measures include load reduction and load shifting; the load is composed of base load, curtailable load and Translational load composition; the load model at node i at time t is:

分别为节点i在t时刻的总负荷、基本负荷、可削减负荷、已削减负荷和可平移负荷有功功率；

分别为节点i在t时刻的总负荷、基本负荷、可削减负荷、已削减负荷和可平移负荷无功功率。in,

are the total load, base load, curtailable load, curtailed load, and shiftable load active power of node i at time t;

Respectively, the total load, base load, curtailable load, curtailed load and shiftable reactive power of node i at time t.

As an optimal scheme of the distribution network electric power balance method considering energy storage configuration and demand side management, wherein: the load reduction mathematical model is as follows:

和

分别为负荷有功功率削减量的下限和上限；

和

分别为负荷无功功率削减量的下限和上限。in,

with

are the lower limit and upper limit of load active power reduction;

with

are the lower limit and upper limit of load reactive power reduction, respectively.

As an optimal scheme of the distribution network electric power balance method considering energy storage configuration and demand side management, wherein: the load shifting includes:

和

分别表示负荷平移时段区间上下限，则负荷平移起始时段区间为：In the modeling of translatable load, for the translatable load connected to node i, use t _D to represent the number of time periods during which its work lasts,

with

represent the upper and lower limits of the load shifting time interval respectively, then the load shifting start time interval is:

为标志位行向量，其中有且仅有一个元素为1，其余元素为0；定义负荷状态矩阵如下：Assume

is a row vector of flag bits, in which there is only one element that is 1, and the rest are 0; the load state matrix is defined as follows:

分别为节点i在j时段的可平移有功、无功负荷大小；在平移时段内，可平移负荷有功与无功功率可分别用矩阵P_i ^fl和

表示：in,

are the shiftable active and reactive loads of node i in the period j; during the shifting period, the active and reactive power of the shiftable load can be calculated by the matrices P _i ^fl and

express:

分别为节点i的可平移有功、无功负荷大小；Among them, P _i ^fl ,

Respectively, the translational active and reactive loads of node i;

Then the active and reactive power of the load that can be translated is:

分别为节点i在t时段的可平移有功、无功负荷大小。in,

are the shiftable active and reactive loads of node i in period t, respectively.

As an optimal scheme of the distribution network power balance method considering energy storage configuration and demand side management, wherein: the distributed new energy operation constraints include:

分别为PVG和WTG的功率因数角，为定值。in,

are the power factor angles of PVG and WTG respectively, and are constant values.

Beneficial effects of the present invention: The present invention provides a distribution network electric power balance method that considers energy storage configuration and demand-side management, considers energy storage configuration and demand-side management, constructs a distribution network electric power balance model, and realizes consideration of energy storage configuration And research on distribution network power balance method of demand side management, which reduces the investment and construction cost of distribution network substations.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort. in:

Fig. 1 is an overall flow chart of a distribution network electric power balance method considering energy storage configuration and demand side management according to the first embodiment of the present invention.

Fig. 2 is a Portugal 54 calculation example system in a simulation example of a distribution network power balance method considering energy storage configuration and demand side management described in the second embodiment of the present invention;

Fig. 3 is the typical daily data of wind power, photovoltaic power and load in a simulation example of a distribution network power balance method considering energy storage configuration and demand side management described in the second embodiment of the present invention;

Fig. 4 is a simulation example of a distribution network power balance method considering energy storage configuration and demand side management according to the second embodiment of the present invention, and the curtailment of wind and light in 4 typical days under different scenarios.

Detailed ways

In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Example. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative efforts shall fall within the protection scope of the present invention.

In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

Second, "one embodiment" or "an embodiment" referred to herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. "In one embodiment" appearing in different places in this specification does not all refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

The present invention is described in detail in conjunction with schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the cross-sectional view showing the device structure will not be partially enlarged according to the general scale, and the schematic diagram is only an example, which should not limit the present invention. scope of protection. In addition, the three-dimensional space dimensions of length, width and depth should be included in actual production.

At the same time, in the description of the present invention, it should be noted that the orientation or positional relationship indicated by "upper, lower, inner and outer" in the terms is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention. The invention and the simplified description do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and thus should not be construed as limiting the present invention. In addition, the terms "first, second or third" are used for descriptive purposes only, and should not be construed as indicating or implying relative importance.

Unless otherwise specified and limited in the present invention, the term "installation, connection, connection" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integrated connection; it can also be a mechanical connection, an electrical connection or a direct connection. A connection can also be an indirect connection through an intermediary, or it can be an internal communication between two elements. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention in specific situations.

Example 1

Referring to the figure, it is the first embodiment of the present invention, which provides a distribution network power balance method considering energy storage configuration and demand side management, including:

S1: Obtain the basic data information of the distribution network;

Furthermore, the basic data information of the distribution network is obtained to construct the power balance model of the distribution network. During the construction process, energy storage configuration and demand side management also need to be considered, and relevant measures are embedded in the model in the form of constraints.

S2: Set the objective function and constraints, and build a distribution network power balance model considering energy storage configuration and demand side management;

Specifically, the objective function takes the minimum installed capacity of the substation as the goal, expressed as follows:

为第i个节点新增配置的变电容量。Among them, N _sub,i is the number of nodes where the substation is installed;

Add the configured variable capacity for the i-th node.

The constraints include: power balance, energy storage operation constraints, demand side management and distributed new energy operation constraints.

Specifically, the power balance constraints of the distribution network are as follows:

和

分别为t时刻节点i的变电站有功出力、光伏有功出力、风机有功出力；

为t时刻节点i的负荷有功需求；

为t时刻节点i的变电站无功出力。in,

with

Respectively, the substation active output, photovoltaic active output, and fan active output of node i at time t;

is the load active demand of node i at time t;

It is the reactive power output of the substation of node i at time t.

Energy storage operation constraints include: the operation of energy storage connected to distribution network node i needs to meet the following constraints:

和

分别为储能充放电功率；0-1变量γ_i,t表征储能充放电状态，1为放电，0为充电；P_i ^BES为单个储能模块的额定功率；

为储能电量；

和

分别为储能充、放电效率；Δt为相邻调度时刻之间的时长；S_i,max和S_i,min分别为储能荷电状态上、下限；

和

分别为调度初始时刻与末尾时刻的电量。in,

with

are energy storage charging and discharging power; 0-1 variable γ _i,t represents the energy storage charging and discharging state, 1 is discharging, 0 is charging; P _i ^BES is the rated power of a single energy storage module;

for energy storage;

with

are the charging and discharging efficiencies of the energy storage, respectively; Δt is the time between adjacent scheduling times; S _i,max and S _i,min are the upper and lower limits of the state of charge of the energy storage, respectively;

with

are the power at the initial time and the end time of the scheduling, respectively.

It should be noted that with the continuous and stable development of the social economy, the peak load and the peak-to-valley difference of the power system gradually increase. The dual pressures of energy crisis and environmental pollution put forward higher requirements for the operation of distribution network in smart cities, such as promoting the consumption of renewable energy. In this context, the demand for energy storage applications continues to grow, mainly reflected in the fact that renewable energy power generation output forecasting technology is currently unable to accurately predict renewable energy power generation output, resulting in a large gap between the actual output of renewable energy stations and the planned output. Deviation, and power deviation will occupy the system reserve capacity. After a high proportion of renewable energy is connected to the distribution network of smart cities, it will further affect the reliability and economy of the power system. Energy storage technology has a good performance in reducing power deviation and improving the absorption capacity of renewable energy generation, and has attracted extensive attention from academia and industry. Therefore, the method of the present invention takes into account the energy storage operation constraints.

Demand-side management measures include load reduction and load shifting; the load is composed of base load, curtailable load and shiftable load; the load model at node i at time t is:

分别为节点i在t时刻的总负荷、基本负荷、可削减负荷、已削减负荷和可平移负荷有功功率；

分别为节点i在t时刻的总负荷、基本负荷、可削减负荷、已削减负荷和可平移负荷无功功率。in,

are the total load, base load, curtailable load, curtailed load, and shiftable load active power of node i at time t;

Respectively, the total load, base load, curtailable load, curtailed load and shiftable reactive power of node i at time t.

The load shedding mathematical model is as follows:

和

分别为负荷有功功率削减量的下限和上限；

和

分别为负荷无功功率削减量的下限和上限。in,

with

are the lower limit and upper limit of load active power reduction;

with

are the lower limit and upper limit of load reactive power reduction, respectively.

Load shifting includes:

和

分别表示负荷平移时段区间上下限，则负荷平移起始时段区间为：In the modeling of translatable load, for the translatable load connected to node i, use t _D to represent the number of time periods during which its work lasts,

with

represent the upper and lower limits of the load shifting time interval respectively, then the load shifting start time interval is:

为标志位行向量，其中有且仅有一个元素为1，其余元素为0；定义负荷状态矩阵如下：Assume

is a row vector of flag bits, in which there is only one element that is 1, and the rest are 0; the load state matrix is defined as follows:

分别为节点i在j时段的可平移有功、无功负荷大小；在平移时段内，可平移负荷有功与无功功率可分别用矩阵P_i ^fl和

表示：in,

are the shiftable active and reactive loads of node i in the period j; during the shifting period, the active and reactive power of the shiftable load can be calculated by the matrices P _i ^fl and

express:

分别为节点i的可平移有功、无功负荷大小；Among them, P _i ^fl ,

Respectively, the translational active and reactive loads of node i;

Then the active and reactive power of the load that can be translated is:

分别为节点i在t时段的可平移有功、无功负荷大小。in,

are the shiftable active and reactive loads of node i in period t, respectively.

It should be noted that power demand side management refers to the management implemented on the side of power consumption. This kind of management is a way for the state to guide users to use less electricity in peak hours and more electricity in troughs through policies and measures, so as to improve power supply efficiency and optimize electricity consumption methods. In this way, power consumption and power demand can be reduced while completing the same power consumption function, thereby alleviating power shortage pressure and reducing power supply cost and power consumption cost. Make both power supply and electricity consumption benefit. To achieve the long-term goal of saving energy and protecting the environment. The method of the present invention therefore takes into account demand side management constraints.

Distributed new energy operating constraints include:

分别为PVG和WTG的功率因数角，为定值。in,

are the power factor angles of PVG and WTG respectively, and are constant values.

It should be noted that wind energy has the advantages of large reserves and wide distribution, and it is also one of the earliest new energy sources utilized by human beings. As the name suggests, wind power refers to the conversion of the kinetic energy of the wind into electrical energy. Specifically, wind power generation mainly converts wind energy into high-speed rotating kinetic energy through the propeller blades installed on the fan to drive the generator to do work, and then convert the kinetic energy into electrical energy. Generally, wind energy is affected by many factors such as wind speed, temperature, sunlight, and geographical location, and its power generation also shows high uncertainty and intermittency, and this effect increases with the increase of time scale. Among them, wind speed is the most influential factor. According to the characteristics of fan blades, wind speed can be divided into cut-in wind speed, cut-out wind speed and rated wind speed.

Compared with traditional power generation systems, photovoltaic power generation not only has the common advantages of new energy such as environmental protection and safe operation, but also has unique advantages that are different from new energy, such as being less affected by the geographical environment, free and flexible installation scale, and relatively simple operation and maintenance. . Therefore, the application prospect of photovoltaic power generation system is very promising. However, as a large number of photovoltaic power generation is connected to the distribution network, the intermittent power generation characteristics of photovoltaic power generation and the randomness caused by the influence of external natural resources will have an inestimable impact on the safe and stable operation of the distribution network.

Therefore, the method of the present invention considers the operation constraints of distributed new energy sources.

S3: The branch and bound algorithm is used to solve the model, and the minimum installed capacity of the substation of the distribution network is obtained.

It should be noted that considering energy storage configuration and demand-side management to construct a distribution network power balance model, and realizing the research on the distribution network power balance method considering energy storage configuration and demand-side management, it reduces the investment and construction of distribution network substations. cost.

Example 2

Referring to Fig. 2-4, it is an embodiment of the present invention, which provides a distribution network power balance method considering energy storage configuration and demand side management. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

The above distribution network planning method was tested on the Portugal 54-node distribution network system shown in Figure 3. Figure 2 is the topology structure diagram of the Portugal 54-node distribution network example system, with a total load of 76.3MW. Some wind power and photovoltaic power have been configured in the system, of which wind power is 15.0MW and photovoltaic power is 15.0MW in total. The curtailment rate of wind and light shall not exceed 20%. Calculate the total installed capacity of the substation.

The wind power, photovoltaic and load information of a certain area in Guangdong, my country in the past year was collected, and four typical scenarios were generated through the scenario clustering method. The results are shown in Figure 3.

In order to study the impact of different management measures on the minimum planned capacity of substations in the new energy distribution network, the following scenarios are set up for comparative analysis:

Scenario 1: Regardless of any active management measures, the simulation operation is carried out according to several typical scenarios after clustering, and the minimum planned capacity of the substation is calculated when it meets various constraints;

Scenario 2: Configure an energy storage device with a capacity of no more than 9MW (18MWh), simulate the operation according to several typical scenarios after clustering, and calculate the minimum planned capacity of the substation when it meets various constraints;

Scenario 3: Considering the demand side management, simulate the operation according to several typical scenarios after clustering, and calculate the minimum planned capacity of the substation when it meets various constraints;

Scenario 4: Considering energy storage configuration and demand-side management, simulate the operation according to several typical scenarios after clustering, and calculate the minimum planned capacity of the substation when various constraints are met.

After simulation operation on the MATLAB R2010a simulation platform with built-in YALMIP toolbox and Gurobi 9.0.0 solver, the minimum planned capacity of the substation under different scenarios is shown in Table 1. It can be seen from Table 1 that if active management measures are not taken, the minimum planned capacity of the substation is relatively large, which will cause a lot of investment waste. After taking different active management measures, the minimum planned capacity of the substation is reduced to varying degrees, especially after all active management measures are taken, the minimum planned capacity of the substation is reduced to 52.8MW, which can save investment costs to a large extent.

Table 1 Minimum planning capacity of substations under different scenarios

Scenario number Substation minimum planning capacity Scenario 1 67.3MW Scenario 2 60.8MW Scenario 3 59.4MW Scenario 4 52.8MW

After further comparative analysis of the programs with different active management measures, the following conclusions can be drawn:

Configuring energy storage devices can reduce the planned capacity of substations by reducing load peaks;

Demand side management can reduce the planned capacity of substations by shifting loads and reducing load peaks.

Figure 4 shows the curtailment of wind and light in four typical days under different scenarios. From Figure 4 and Figure 3, we can intuitively see the impact of various active management measures on the amount of wind and solar curtailment in the system. After considering various active management measures, under the condition of satisfying various operating constraints of the distribution network, the new energy efficiency is greatly promoted. energy consumption.

The simulation experiment fully demonstrates the feasibility and beneficial effects of the method of the present invention, realizes the research on the power balance method of distribution network considering energy storage configuration and demand side management, and reduces the investment and construction cost of substations in distribution network.

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention without limitation, although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be carried out Modifications or equivalent replacements without departing from the spirit and scope of the technical solution of the present invention shall be covered by the claims of the present invention.

Claims (10)

1. A power distribution network electric quantity balancing method considering energy storage configuration and demand side management is characterized by comprising the following steps:

acquiring basic data information of the power distribution network;

setting a target function and constraint conditions, and constructing a power and electric quantity balance model of the power distribution network considering energy storage configuration and demand side management;

and solving the model by adopting a branch-and-bound algorithm to obtain the minimum installation capacity of the transformer substation of the power distribution network.

2. The method for balancing power of a power distribution network according to claim 1, considering energy storage configuration and demand side management, comprising: energy storage configuration and demand side management need to be considered in the process of constructing the power and electricity balance model of the power distribution network, and relevant measures are embedded into the model in a constraint mode.

3. The method of claim 2, wherein the objective function comprises: the minimum installation capacity of the transformer substation is taken as a target and expressed as follows:

wherein N is _sub,i The number of nodes for installing the transformer substation;

and newly adding the configured transformation capacity for the ith node.

4. The method of claim 3, wherein the constraints include: the system comprises the following steps of power and electric quantity balance, energy storage operation constraint, demand side management and distributed new energy operation constraint.

5. The method for balancing power of the power distribution network according to claim 4, considering energy storage configuration and demand side management, comprising: the power and electric quantity balance constraint of the power distribution network is as follows:

wherein,

and

the transformer substation active power output, the photovoltaic active power output and the fan active power output of a t-time node i are respectively;

the load active demand of the node i at the moment t is obtained;

and the reactive power output of the transformer substation at the node i at the time t is obtained.

6. The method of claim 5, wherein the energy storage operation constraints comprise: the operation of the stored energy accessed to the node i of the power distribution network needs to satisfy the following constraints:

wherein,

and

are respectively provided withThe energy storage charging and discharging power; 0-1 variable gamma _i,t Representing the charge and discharge state of energy storage, wherein 1 is discharge and 0 is charge; p _i ^BES The rated power of a single energy storage module;

energy storage capacity is obtained;

and

respectively charging and discharging the energy storage efficiency; delta t is the time length between adjacent scheduling moments; s _i,max And S _i,min Respectively an upper limit and a lower limit of the energy storage charge state;

and

respectively the electric quantity at the initial time and the end time of the scheduling.

7. The method of claim 6, wherein the demand side management measures include load shedding and load shifting; the load is composed of a basic load, a reducible load and a translatable load; the load model at time t at node i is:

wherein,

respectively representing the active power of the total load, the basic load, the reducible load, the reduced load and the translatable load of the node i at the moment t;

the total load, the base load, the reducible load, the reduced load and the translatable load reactive power of the node i at the time t are respectively.

8. The method of claim 7, wherein the method for balancing the power of the distribution network in consideration of energy storage configuration and demand side management comprises: the load shedding mathematical model is as follows:

wherein,

and

respectively the lower limit and the upper limit of the load active power reduction amount;

and

respectively the lower limit and the upper limit of the load reactive power reduction amount.

9. The method of claim 8, wherein the load shifting comprises:

in translatable load modeling, for translatable loads connected at node i, t is used _D Indicating the number of periods for which it is operating,

and

respectively representing the upper limit and the lower limit of the load translation time interval, the load translation starting time interval is as follows:

is provided with

Is a flag bit row vector, wherein, only one element is 1, and the rest elements are 0; the load state matrix is defined as follows:

wherein,

the sizes of the translational active load and the translational reactive load of the node i in the period j are respectively; in the translation period, the active power and the reactive power of the translatable load can be respectively used by a matrix P _i ^fl And Q _i ^fl Represents:

wherein, P _i ^fl 、

Respectively the size of the translational active load and the size of the reactive load of the node i;

the active and reactive power of the translatable load are:

wherein,

the sizes of the translational active load and the translational reactive load of the node i in the t period are respectively.

10. The method of claim 9, wherein the distributed new energy operation constraints comprise:

wherein,

the power factor angles of the PVG and the WTG respectively are fixed values.

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