Multi-energy complementary scheduling control method and system for water-wind-light-storage integrated power supply power grid

Abstract

The multi-energy complementary scheduling control method comprises the following steps: dividing the power grid into N areas according to a power grid structure and a tie line, and determining an area power supply in each area; carrying out load prediction on each region Ri by utilizing historical load data and load influence factors to obtain a region load demand Li (t) based on a time period; predicting the regional comprehensive power generation capacity based on the time period according to the regional power supply; generating a regional power generation and transmission plan; the regional power generation and transmission plans of all the regions are integrated, and a power grid integrated power generation and transmission plan is generated in combination with whole-grid power balance constraint conditions; dividing the scheduling time period of the power grid into a plurality of segments, and distributing an energy scheduling target for each segment; and optimizing the comprehensive power generation and transmission plan of the power grid according to the energy scheduling target to generate a multi-energy complementary ultra-short-term power generation and transmission plan guidance real-time scheduling scheme. The power generation capacity and the expected load of various power supplies in the power grid can be integrated to efficiently and accurately dispatch various power supplies, and the absorption capacity of new energy can be fully guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid regulation, and in particular to a multi-energy complementary dispatching control method and system for a hydro-wind-solar-storage integrated power grid. Background Art

[0002] At present, the installed capacity of non-fossil energy power generation in the power system is gradually increasing. The continuous increase in the proportion of new energy power sources has reduced the dependence on fossil energy, but it has also brought new problems. The main problem is that the intermittent, random and volatile characteristics of new energy power sources make the regulation of the power grid system more difficult, and will also quickly consume the flexible regulation resources of the power system. In particular, for some large-scale new energy bases with weak grids and lack of synchronous power support, there is a general problem of insufficient system support capacity, which affects the safe and reliable transmission of new energy. In addition, although the overall utilization rate of new energy in the country has remained at a high level in recent years, the absorption foundation is still not solid, and the problem of wind and solar abandonment in some areas and local periods is still prominent. In the future, the large-scale and high-proportion development of new energy requires a rapid improvement in the system regulation capacity, but the construction of regulatory resources faces many constraints, and the risk of efficient absorption of regional new energy increases, which restricts the efficient use of new energy. The "double high" characteristics of high-proportion renewable energy and high-proportion power electronic equipment are becoming increasingly prominent, and safe and stable operation faces great risks and challenges. Compared with the traditional power system dominated by synchronous generators, the "dual high" power system has obvious characteristics such as low inertia, low damping, and weak voltage support. The power grid mainly presents a strong coupling between the AC and DC sending and receiving ends and a complex voltage hierarchy. It is difficult to coordinate between the sending and receiving end power grids and between the high and low voltage power grids, and a chain reaction can easily be triggered after a failure. Summary of the invention

[0003] In order to address the deficiencies in the prior art, the present invention provides a multi-energy complementary dispatching control method and system for a water-wind-solar-storage integrated power grid, which can efficiently and accurately dispatch various power sources based on their power generation capacities and expected loads in the grid, especially effectively dispatch new energy power sources such as photovoltaic power sources and hydropower power sources, fully guarantee the absorption capacity of new energy, and also ensure the stability of the grid.

[0004] In order to achieve the above object, the specific scheme adopted by the present invention is: a multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid, comprising the following steps: The power grid is divided into N regions R according to the power grid structure and tie lines. i (i=1,2,…,N), and determine the regional power supply in each area; For each region R i , use historical load data and load influencing factors to perform load forecasting and obtain the regional load demand L based on time period i (t); The regional comprehensive power generation capacity based on the time period is predicted based on the regional power supply, and the regional load demand L i (t) Determine the power balance of the regional power grid based on the regional comprehensive power generation capacity; Generate regional power generation and transmission plans based on the regional power grid power balance, tie line limit constraints, regional comprehensive power generation capacity and new energy consumption capacity; Integrate the regional power generation and transmission plans of all regions, and generate a comprehensive power generation and transmission plan for the power grid in combination with the power balance constraints of the entire network; divide the dispatch period of the power grid into multiple segments, and assign energy dispatch targets to each segment; The comprehensive power generation and transmission plan of the power grid is optimized according to the energy dispatching objectives, and a multi-energy complementary ultra-short-term power generation and transmission plan is generated to guide the real-time dispatching plan.

[0005] As a further optimization of the above multi-energy complementary dispatching control method for the integrated power grid of water, wind, solar and storage: the regional load demand L i The prediction method of (t) is: Among them, α is the weight coefficient, L 近期 Recent load, L 去年,同日 is the load on the same day last year, G is the average annual growth rate of load, a T is the temperature influence coefficient, a H is the humidity influence coefficient, T is the predicted temperature of the day, H is the predicted humidity of the day, c is the holiday influence coefficient, D is the holiday factor and its value is 0 or 1, e is the weekend influence coefficient, E is the weekend factor and its value is 0 or 1, f is the influence coefficient when holidays and weekends overlap, F is the holiday and weekend overlap factor and its value is 0 or 1, ΔL 大工业 The estimated load change reported in advance by large industrial electricity users, ΔL 弹性负荷 is the change in elastic load, a 时间指数 is the time index of elastic load.

[0006] As a further optimization of the above-mentioned multi-energy complementary dispatching control method for the integrated power grid of water, wind, light and storage: the regional power supply of each area includes photovoltaic power supply, wind power supply, cascade hydropower supply, run-of-river hydropower supply, energy storage power supply and / or other power supplies; According to the regional load demand L i (t) and regional comprehensive power generation capacity to determine the regional power grid power balance situation is as follows: Build a balanced prediction model: L i (t) = P new,i (t)+P line,i (t)+P cascade,i (t)+P runoff,i(t)+P other,i (t)+P storage,i (t); P new,i (t) = P solar,i (t)+P wind,i (t); Among them, P new,i is the renewable energy power generation capacity, P solar,i (t) is the photovoltaic power generation capacity, P wind,i (t) is the wind power generation capacity, P cascade,i (t) is the generating capacity of cascade hydropower, P runoff,i (t) is the generating capacity of run-of-river hydropower, P storage,i (t) is the power generation capacity of the energy storage power source, P other,i is the generating capacity of other power sources, L 全网 (t) is the total load of the power grid; Solving the regional power flow parameter P based on the balance prediction model line,i and energy storage flow parameter P storage,i , if P line,i >0, the regional power flow is inward input, if P line,i <0, the regional power flow is outward output. storage,i >0, the energy storage flow direction is energy storage discharge, if P storage,i <0, the energy storage flow direction is energy storage charging.

[0007] As a further optimization of the above multi-energy complementary dispatching control method for the integrated power grid of water, wind, light and storage: the calculation method of the photovoltaic power generation capacity is: Among them, η solar is the efficiency of photovoltaic modules, G i (t) is the area R in the time period t i Solar irradiance in the STC is the solar irradiance under standard test conditions; And there are in, For region R i The maximum absorption capacity of the electric energy generated by the photovoltaic power source at time t.

[0008] As a further optimization of the above multi-energy complementary dispatching control method for the integrated power grid of water, wind, light and storage: the calculation method of the wind power generation capacity is: in, For region R iTotal installed capacity of wind turbines, f wind (v i (t)) is the power curve function of the wind turbine; And there are in, For region R i The maximum absorption capacity of the electric energy generated by the wind power source at time t.

[0009] As a further optimization of the above multi-energy complementary dispatching control method for the integrated power grid of water, wind, light and storage: the calculation method of the power generation capacity of cascade hydropower sources is: V i (t+1)=V i (t)+[Q in,i (t)-Q out,i (t)]Δ; Q in,i (t) = Q out,i-1 (t-τ i-1,i )+q local,i (t); P cascade,i (t) = η hydro,i ·ρgH i1 (t)Q out,i (t); Among them, V i (t) is the reservoir H i The water storage at time t, Q in,i (t) is the inflow flow, Q out,i (t) is the outbound flow, Δt is the time interval, τ i-1,i The water flow from upstream H i-1 To downstream H i The time delay, q local,i (t) is the local natural inflow, ρ is the water density, g is the gravitational acceleration, H i1 (t) is the effective water head of the cascade hydropower source; And there are Q out,i (t)≥Q eco,i ; Among them, Q eco,i The minimum downstream flow rate to meet the ecological environment requirements; The calculation method for the generating capacity of run-of-river hydropower is: P runoff,i (t) = η runoff,i ·ρgH i2 (t)Q river,i (t); Among them, ηrunoff,i is the efficiency of run-of-river hydropower station i, Q river,i (t) is the natural flow of the river, H i2 (t) is the effective water head of the radial hydropower source; And there are

[0010] As a further optimization of the above-mentioned multi-energy complementary dispatching control method for the integrated power grid of water, wind, solar and energy storage: the calculation method of the power generation capacity of the energy storage power supply is: Among them, E i (t) is the energy of energy storage source i at time t, η charge and η discharge They are the charging efficiency and discharging efficiency of the energy storage power source respectively; And there are

[0011] As a further optimization of the above multi-energy complementary dispatching control method for the hydro-wind-solar-storage integrated power grid: the tie line limit constraint condition is Among them, P line,i→k (t) is the region R i To area R k The tie line power, and are the minimum transmission capacity and the maximum transmission capacity of the tie line respectively; The power balance constraints of the entire network are:

[0012] As a further optimization of the above multi-energy complementary dispatching control method for the integrated power grid of water, wind, solar and storage: the energy dispatching target is: minJ=-w1J1+w2J2-w3J3+w4J4+w5J5; minJ2=∑ t (ΔP new+storage (t)) 2 ; maxJ3=∑ t ∑ i λ cascade,i (t)P cascade,i (t);minJ4=min∑ t (C wind (t)+C solar (t)+C storage (t)+C hydro (t)); minJ5=min∑ t (Δf(t) 2 +ΔV(t) 2 ); Among them, w1, w2, w3, w4, w5 are weight coefficients, and w i ≥0,i=1,2,3,4,5,λ cascade,i (t) is the hydropower station H i Water energy utilization efficiency at time t, C wind (t), C solar (t), C storage (t), C hydro (t) are the operating costs of wind power, photovoltaic power, energy storage power and total hydropower, respectively, and the total hydropower includes cascade hydropower and run-of-river hydropower, Δf(t) is the frequency deviation in time period t, and ΔV(t) is the voltage deviation in time period t; And there are

[0013] A multi-energy complementary dispatching and control system for a water-wind-solar-storage integrated power grid, used to implement the above-mentioned multi-energy complementary dispatching and control method for a water-wind-solar-storage integrated power grid, the system comprising: A data acquisition device, for dividing the power grid into N areas according to the power grid structure and the tie lines, and determining power supply information of the regional power supply in each area; A data processing device for generating a comprehensive power generation and transmission plan for a power grid and a multi-energy complementary power generation and transmission plan; The data sending device is used to send the multi-energy complementary power generation and transmission plan.

[0014] Beneficial effects: The present invention can efficiently and accurately dispatch various power sources in the power grid based on their power generation capacity and expected load, especially can effectively dispatch new energy power sources such as photovoltaic power sources and hydropower power sources, fully guarantee the absorption capacity of new energy, and also ensure the stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a structural block diagram of the system of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] like Figure 1 As shown, a multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid includes S1 to S7.

[0018] S1. Divide the grid into N regions R according to the grid structure and interconnection lines i (i=1,2,…,N), and determine the regional power supply in each region. The regional power supply in each region includes photovoltaic power supply, wind power supply, cascade hydropower supply, run-of-river hydropower supply, energy storage power supply and / or other power supplies, wherein other power supplies include thermal power supply and nuclear power supply, etc.

[0019] S2. For each region R i , use historical load data and load influencing factors to perform load forecasting and obtain the regional load demand L based on time period i (t). Regional load demand L i The prediction method of (t) is: Among them, α is the weight coefficient, L 近期 Recent load, L 去年,同日 is the load on the same day last year, G is the average annual growth rate of load, a T is the temperature influence coefficient, a H is the humidity influence coefficient, T is the predicted temperature of the day, H is the predicted humidity of the day, c is the holiday influence coefficient, D is the holiday factor and its value is 0 or 1, e is the weekend influence coefficient, E is the weekend factor and its value is 0 or 1, f is the influence coefficient when holidays and weekends overlap, F is the holiday and weekend overlap factor and its value is 0 or 1, ΔL 大工业 The estimated load change reported in advance by large industrial electricity users. This value is determined based on the expected activities or operational changes of large industrial electricity users and is used to adjust the overall load forecast in real time. Large industrial electricity users are electricity users whose electricity load accounts for more than 3%. ΔL 弹性负荷 is the change in elastic load, a 时间指数 is the time index of elastic load.

[0020] Furthermore, for the holiday factor D, when a certain day is a holiday, the value of D is 1, otherwise the value is 0, and holidays here refer to statutory holidays; for the weekend factor E, when a certain day is a weekend, the value of E is 1, otherwise the value is 0; for the holiday and weekend overlap factor F, when a certain day is both a holiday and a weekend, the value of F is 1, otherwise the value is 0.

[0021] Flexible loads include electric vehicle charging and discharging loads and energy storage loads. Electric vehicles in the power grid participate in V2G scheduling, which means that electric vehicles are given priority in scheduling during peak load periods, and are discharged to the grid as energy storage devices. However, they are still used to charge power-consuming equipment and replenish their own power when the system load is low. When the energy storage system is connected to the grid, it can store and release energy according to the changes in the existing load of the system. When the grid load is low, the energy storage can be used as a load to supplement its own power to fill the trough. When the grid load is at a peak, the energy storage can act as a power source to release electric energy to eliminate the peak, thereby achieving the effect of peak shaving and valley filling.

[0022] S3, predict the regional comprehensive power generation capacity based on the time period according to the regional power supply, and calculate the regional load demand L i (t) and regional comprehensive power generation capacity to determine the regional power grid power balance. i (t) and the regional comprehensive power generation capacity to determine the regional power grid power balance situation is as follows.

[0023] Build a balanced prediction model: L i (t) = P new,i (t)+P line,i (t)+P cascade,i (t)+P runoff,i (t)+P other,i (t)+P storage,i (t); P new,i (t) = P solar,i (t)+P wind,i (t); Among them, P new,i is the renewable energy power generation capacity, P solar,i (t) is the photovoltaic power generation capacity, P wind,i (t) is the wind power generation capacity, P cascade,i (t) is the generating capacity of cascade hydropower, P runoff,i (t) is the generating capacity of run-of-river hydropower, P storage,i (t) is the power generation capacity of the energy storage power source, P other,i is the generating capacity of other power sources, L 全网(t) is the total load of the power grid.

[0024] Solving the regional power flow parameter P based on the balance prediction model line,i and energy storage flow parameter P storage,i , if P line,i >0, the regional power flow is inward input, if P line,i <0, the regional power flow is outward output. storage,i >0, the energy storage flow direction is energy storage discharge, if P storage,i <0, the energy storage flow is energy storage charging.

[0025] More specifically, the calculation method of the power generation capacity of each power source is as follows.

[0026] The calculation method of photovoltaic power generation capacity is: Among them, η solar is the efficiency of photovoltaic modules, G i (t) is the area R in the time period t i Solar irradiance in the STC is the solar irradiance under standard test conditions; And there are in, For region R i The maximum absorption capacity of the electric energy generated by the photovoltaic power source at time t needs to be determined based on the absorption capacity of the regional power grid and the safety and stability requirements of the power grid.

[0027] The calculation method of wind power generation capacity is: in, For region R i Total installed capacity of wind turbines, f wind (v i (t)) is the power curve function of the wind turbine; and in, For region R i The maximum absorption capacity of the electric energy generated by the wind power source at time t.

[0028] The calculation method of cascade hydropower generation capacity is: V i (t+1)=V i (t)+[Q in,i (t)-Q out,i (t)]Δ; Q in,i (t) = Q out,i-1(t-τ i-1,i )+q local,i (t); P cascade,i (t) = η hydro,i ·ρgH i1 (t)Q out,i (t); Among them, V i (t) is the reservoir H i The water storage at time t, Q in,i (t) is the inflow flow, Q out,i (t) is the outbound flow, Δt is the time interval, τ i-1,i The water flow from upstream H i-1 To downstream H i The time delay, q local,i (t) is the local natural inflow, ρ is the water density, g is the gravitational acceleration, H i1 (t) is the effective water head of the cascade hydropower source; And there are Q out,i (t)≥Q eco,i ; The above three formulas are respectively the water storage constraint, output constraint and ecological flow constraint of cascade hydropower sources, where Q eco,i The minimum downstream flow rate to meet the ecological environment requirements.

[0029] The calculation method for the generating capacity of run-of-river hydropower is: P runoff,i (t) = η runoff,i ·ρgH i2 (t)Q river,i (t); Among them, η runoff,i is the efficiency of run-of-river hydropower station i, Q river,i (t) is the natural flow of the river, H i2 (t) is the effective water head of the radial hydropower source; And there are

[0030] The calculation method of energy storage power generation capacity is: Among them, E i (t) is the energy of energy storage source i at time t, η charge and η discharge They are the charging efficiency and discharging efficiency of the energy storage power source respectively; And there are

[0031] S4. Generate a regional power generation and transmission plan based on the regional power grid power balance, tie line limit constraints, regional comprehensive power generation capacity and new energy consumption capacity. The tie line limit constraints are used to reflect the constraints caused by line conditions in the power dispatch process between different regions. Specifically, the tie line limit constraints are: Among them, P line,i→k (t) is the region R i To area R k The tie line power, and They are the minimum transmission capacity and maximum transmission capacity of the tie line respectively.

[0032] The power balance constraints of the entire network are:

[0033] S5. Integrate the regional power generation and transmission plans of all regions, and generate a comprehensive power grid power generation and transmission plan in combination with the power balance constraints of the entire network.

[0034] S6. Divide the dispatching period of the power grid into multiple segments, and assign energy dispatching targets to each segment. The length of the dispatching period and the segment can be determined according to the actual situation. For example, the dispatching period can be set to one day, and then divided into four segments: night valley, morning peak, midday flat section, and evening peak. According to actual experience, in the morning peak and evening peak segments, the power grid load is high, the photovoltaic power generation capacity is very small or zero, and hydropower and energy storage support the growth of the power grid load to ensure that all the energy storage power is discharged; in the night valley segment, the power grid load is low and the photovoltaic power generation capacity is zero. According to the predicted load situation and power generation capacity of the power grid, consider energy storage charging to support the growth of the morning peak load; in the midday flat section, the power grid load is low and the photovoltaic power generation capacity is the strongest. Consider reducing the hydropower output to store water, and charging the energy storage at high power to jointly support the growth of the evening peak load. On this basis, by adopting different dispatching strategies in different time periods, it is possible to ensure the maximum consumption of new energy, the minimum fluctuation of new energy output, the highest comprehensive utilization rate of cascade hydropower stations, and consider the economy and safety of power grid operation to form energy dispatching targets.

[0035] The energy dispatch objectives are: minJ=-w1J1+w2J2-w3J3+w4J4+w5J5; minJ2=Σ t (ΔP new+storage (t)) 2 ; maxJ3=Σ t Σ i λ cascade,i (t)Pcascade,i (t); minJ4=min∑ t (C wind (t)+C solar (t)+C storage (t)+C hydro (t)); minJ5=min∑ t (Δf(t) 2 +ΔV(t) 2 ); Among them, w1, w2, w3, w4, w5 are weight coefficients, and w i ≥0,i=1,2,3,4,5,λ cascade,i (t) is the hydropower station H i Water energy utilization efficiency at time t, C wind (t), C solar (t), C storage (t), C hydro (t) are the operating costs of wind power, photovoltaic power, energy storage power and total hydropower, respectively, and the total hydropower includes cascade hydropower and run-of-river hydropower, Δf(t) is the frequency deviation in time period t, and ΔV(t) is the voltage deviation in time period t; And there are

[0036] Specifically, in the energy scheduling objectives, it is necessary to maximize the new energy consumption target J1, minimize the new energy output fluctuation target J2, maximize the water energy utilization rate target of cascade hydropower stations J3, minimize the system operation cost J4 and minimize the safety risk J5. By combining these objectives, the overall scheduling target can be obtained, that is, the comprehensive objective function minJ=-w1J1+w2J2-w3J3+w4J4+w5J5.

[0037] When optimizing and solving the objective function, the constraints considered include power balance constraints, energy storage system charging and discharging constraints, hydropower station water flow and power generation constraints, power output constraints, interconnection line load constraints, and system frequency constraints. The power balance constraint ensures that the total load demand of the system is equal to the total power generation plus the net discharge of the energy storage system in all time periods. The total constraint is expressed as follows: L i (t) = P new,i (t)+P cascade,i (t)+P runoff,i (t)+P other,i (t)+P storage,i (t)+P line,i (t); Q out,i (t)≥Q eco,i ; f min ≤f(t)≤f max ;

[0038] S7. Optimize the comprehensive power generation and transmission plan of the power grid according to the energy dispatching objectives, and generate a multi-energy complementary ultra-short-term power generation and transmission plan to guide the real-time dispatching plan.

[0039] like Figure 2 As shown, the present invention further provides a multi-energy complementary dispatching and control system for a water-wind-solar-storage integrated power supply grid, which is used to implement the above-mentioned multi-energy complementary dispatching and control method for a water-wind-solar-storage integrated power supply grid. The system includes a data acquisition device, a data processing device and a data sending device.

[0040] The data acquisition device is used to divide the power grid into N areas according to the power grid structure and the tie lines, and determine the power supply information of the regional power supply in each area. The data acquisition device can directly obtain data from the automatic dispatching system of the power grid.

[0041] A data processing device is used to generate a comprehensive power generation and transmission plan for the power grid and a multi-energy complementary power generation and transmission plan.

[0042] The data sending device is used to send the multi-energy complementary power generation and transmission plan. The data sending device may include a data display terminal correspondingly arranged in each power station, and the multi-energy complementary power generation and transmission plan is displayed in real time by using the data display terminal.

[0043] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid, characterized in that: The steps include: The power grid is divided into N regions R according to the power grid structure and tie lines. i (i=1,2,…,N), and determine the regional power supply in each area; For each region R i , use historical load data and load influencing factors to perform load forecasting and obtain the regional load demand L based on time period i (t); The regional comprehensive power generation capacity based on the time period is predicted based on the regional power supply, and the regional load demand L i (t) Determine the power balance of the regional power grid based on the regional comprehensive power generation capacity; Generate regional power generation and transmission plans based on the regional power grid power balance, tie line limit constraints, regional comprehensive power generation capacity and new energy consumption capacity; Integrate the regional power generation and transmission plans of all regions, and generate a comprehensive power grid power generation and transmission plan based on the power balance constraints of the entire network; Divide the dispatch period of the power grid into multiple segments and assign energy dispatch targets to each segment; The comprehensive power generation and transmission plan of the power grid is optimized according to the energy dispatching objectives, and a multi-energy complementary ultra-short-term power generation and transmission plan is generated to guide the real-time dispatching plan.

2. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 1 is characterized in that: Regional load demand L i The prediction method of (t) is: Among them, α is the weight coefficient, L 近期 Recent load, L 去年,同日 is the load on the same day last year, G is the average annual growth rate of load, a T is the temperature influence coefficient, α H is the humidity influence coefficient, T is the predicted temperature of the day, H is the predicted humidity of the day, c is the holiday influence coefficient, D is the holiday factor and its value is 0 or 1, e is the weekend influence coefficient, E is the weekend factor and its value is 0 or 1, f is the influence coefficient when holidays and weekends overlap, F is the holiday and weekend overlap factor and its value is 0 or 1, ΔL 大工业 The estimated load change reported in advance by large industrial electricity users, ΔL 弹性负荷 is the change in elastic load, a 时间指数 is the time index of elastic load.

3. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 1 is characterized in that: The regional power supply of each region includes photovoltaic power supply, wind power supply, cascade hydropower supply, run-of-river hydropower supply, energy storage power supply and / or other power supplies; According to the regional load demand L i (t) and regional comprehensive power generation capacity to determine the regional power grid power balance situation is as follows: Build a balanced prediction model: L i (t)=P new,i (t)+P line,i (t)+P cascade,i (t)+P runoff,i (t)+P other,i (t)+P storage,i (t); P new,i (t)=P solar,i (t)+P wind,i (t); Among them, P new,i is the renewable energy power generation capacity, P solar,i (t) is the photovoltaic power generation capacity, P wind,i (t) is the wind power generation capacity, P cascade,i (t) is the generating capacity of cascade hydropower, P runoff,i (t) is the generating capacity of run-of-river hydropower, P storage,i (t) is the power generation capacity of the energy storage power source, P other,i is the generating capacity of other power sources, L 全网 (t) is the total load of the power grid; Solving the regional power flow parameter P based on the balance prediction model line,i and energy storage flow parameter P storage,i , if P line,i >0, the regional power flow is inward input, if P line,i <0, the regional power flow is outward output. storage,i >0, the energy storage flow direction is energy storage discharge, if P storage,i <0, the energy storage flow is energy storage charging.

4. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 3 is characterized in that: The calculation method of photovoltaic power generation capacity is: Among them, η solar is the efficiency of photovoltaic modules, G i (t) is the area R in the time period t i Solar irradiance in the STC is the solar irradiance under standard test conditions; And there are in, For region R i The maximum absorption capacity of the electric energy generated by the photovoltaic power source at time t.

5. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 3 is characterized in that: The calculation method of wind power generation capacity is: in, For region R i Total installed capacity of wind turbines, f wind (v i (t)) is the power curve function of the wind turbine; And there are in, For region R i The maximum absorption capacity of the electric energy generated by the wind power source at time t.

6. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 3 is characterized in that: The calculation method of cascade hydropower generation capacity is: V i (t+1)=V i (t)+[Q in,i (r)-Q out,i (t)]Δ; Q in,i (t)=Q out,i-1 (t-τ i-1,i )+q local,i (t); P cascade,i (t)=η hydro,i ·ρgH i1 (t)Q out,i (t); Among them, V i (t) is the reservoir H i The water storage at time t, Q in,i (t) is the inflow flow, Q out,i (t) is the outbound flow, Δt is the time interval, τ i-1,i The water flow from upstream H i-1 To downstream H i The time delay, q local,i (t) is the local natural inflow, ρ is the water density, g is the gravitational acceleration, H i1 (t) is the effective water head of the cascade hydropower source; And there are Q out,i (t)≥Q eco,i ; Among them, Q eco,i The minimum downstream flow rate to meet the ecological environment requirements; The calculation method for the generating capacity of run-of-river hydropower is: P runoff,i (t)=η runoff,i ·ρgH i2 (t)Q river,i (t); Among them, ∑ runoff,i is the efficiency of the run-of-river hydropower station Q, Q river,i (t) is the natural flow of the river, H i2 (t) is the effective water head of the radial hydropower source; And there are 7. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 3 is characterized in that: The calculation method of energy storage power generation capacity is: Among them, E i (t) is the energy of energy storage source i at time t, η charge and η discharge They are the charging efficiency and discharging efficiency of the energy storage power source respectively; And there are 8. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 3 is characterized in that: The tie line limit constraint is Among them, P line,i→k (t) is the region R i To area R k The tie line power, and are the minimum transmission capacity and the maximum transmission capacity of the tie line respectively; The power balance constraints of the entire network are:

9. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 1, characterized in that: The energy dispatch objectives are: minJ=-w1J1+w2J2-w3J3+w4J4+w5J5; minJ2=∑ t (ΔP new+storage (t)) 2 ; maxJ3=∑ t ∑ i λ cascade，i (t)P cascade，i (t); minJ4=min∑ t (C wind (t)+C solar (t)+C storage (t)+C hydro (t)); minJ5=min∑ t (Δf(t) 2 +ΔV(t) 2 ); Among them, w1, w2, w3, w4, w5 are weight coefficients, and w i ≥0, i=1, 2, 3, 4, 5, λ cascade，i (t) is the hydropower station H i The water energy utilization efficiency at time t, C wind (t), C solar (t), C storage (t), C hydro (t) are the operating costs of wind power, photovoltaic power, energy storage power and total hydropower, respectively, and the total hydropower includes cascade hydropower and run-of-river hydropower, Δf(t) is the frequency deviation in time period t, and ΔV(t) is the voltage deviation in time period t; And there are 10. A multi-energy complementary dispatching and control system for a hydro-wind-solar-storage integrated power grid, characterized in that: A system for realizing a multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid as claimed in any one of claims 1 to 9, the system comprising: A data acquisition device, for dividing the power grid into N areas according to the power grid structure and the tie lines, and determining power supply information of the regional power supply in each area; A data processing device for generating a comprehensive power generation and transmission plan for a power grid and a multi-energy complementary power generation and transmission plan; The data sending device is used to send the multi-energy complementary power generation and transmission plan.

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