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

Abstract

The application discloses a multi-energy complementary dispatching control method for a water, wind, light and storage integrated power grid, and belongs to the field of power grid dispatching. i The application discloses a multi-energy complementary dispatching control method for a water, wind, light and storage integrated power grid, and belongs to the field of power grid dispatching. i The application discloses a multi-energy complementary dispatching control method for a water, wind, light and storage integrated power grid, and belongs to the field of power grid dispatching. The application discloses a multi-energy complementary dispatching control method for a water, wind, light and storage integrated power grid, and belongs to the field of power grid dispatching. The application discloses a multi-energy complementary dispatching control method for a water, wind, light and storage integrated power grid, and belongs to the field of power grid dispatching. The application discloses a multi-energy complementary dispatching control method for a water, wind, light and storage integrated power grid, and belongs to the field of power grid dispatching.

Description

TECHNICAL FIELD

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

[0002] At present, in the power system, the installed capacity of non-fossil energy power generation is gradually increasing. The increasing proportion of new energy power source reduces the dependence on fossil energy, but also brings new problems. The intermittent, random and volatile characteristics of new energy power source make it more difficult to regulate the power grid system, and also quickly consume the flexible regulation resources of the power system. Especially for some large new energy bases with weak grid and lack of synchronous power support, the problem of insufficient system support capacity is widespread, and the safe and reliable transmission of new energy is affected. In recent years, although the overall utilization rate of new energy in China has remained at a high level, the foundation for consumption is still not solid, and the problem of wind and light curtailment in local areas and time periods is still prominent. In the future, the large-scale and high-proportion development of new energy requires rapid improvement of system regulation capacity, but the construction of regulation resources is constrained, the risk of regional new energy efficient consumption is increasing, and the efficient utilization of new energy is restricted. The "double high" characteristics of high proportion of renewable energy and high proportion of power electronic equipment are increasingly prominent, and the safe and stable operation is facing great risk challenges. Compared with the traditional power system dominated by synchronous generators, the "double high" power system has obvious characteristics of low inertia, low damping and weak voltage support, and the power grid mainly presents a strong coupling of AC and DC sending and receiving ends and a complex voltage level. The coordination between the sending and receiving ends of the power grid and between the high and low voltage levels of the power grid is difficult, and the cascading reaction is easily triggered after the fault. SUMMARY

[0003] In order to solve the problems in the prior art, the present application 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 in the power grid according to their generation capacity and expected load, especially new energy power sources such as photovoltaic power sources and hydropower sources, to fully ensure the consumption capacity of new energy and ensure the stability of the power grid.

[0004] In order to achieve the above-mentioned purpose, the specific scheme adopted by the present application is as follows: a multi-energy complementary dispatching control method for a water-wind-solar-storage integrated power grid, comprising the following steps:

[0005] According to the power grid structure and the tie line, the power grid is divided into N regions R i (i = 1, 2, …, N), and the regional power sources in each region are determined;

[0006] For each region R i , the historical load data and load influencing factors are used for load prediction to obtain the regional load demand L based on the time period.i (t);

[0007] According to the regional power supply, the time period-based regional comprehensive power generation capacity is predicted, and according to the regional load demand L i (t) and the regional comprehensive power generation capacity, the power grid power balance of the region is determined;

[0008] According to the power grid power balance of the region, the tie-line limit constraint condition, the regional comprehensive power generation capacity and the new energy consumption capacity, the regional power transmission plan is generated;

[0009] The regional power transmission plans of all regions are integrated, and the grid comprehensive power transmission plan is generated in combination with the whole network power balance constraint condition;

[0010] The dispatching period of the grid is divided into multiple segments, and an energy dispatching target is assigned to each segment;

[0011] According to the energy dispatching target, the grid comprehensive power transmission plan is optimized to generate a multi-energy complementary power transmission plan.

[0012] As a further optimization of the above multi-energy complementary dispatching control method for the water, wind, light and storage comprehensive power grid: the prediction method of the regional load demand L i (t) is as follows:

[0013]

[0014] Wherein, α is a weight coefficient, L 近期 is the recent load, L 去年,同日 is the load of the same day last year, G is the average annual growth rate of the 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 takes the value of 0 or 1, e is the weekend influence coefficient, E is the weekend factor and takes the value of 0 or 1, f is the influence coefficient when the holiday and the weekend overlap, F is the holiday and weekend overlap factor and takes the value of 0 or 1, ΔL 大工业 is the predicted load change amount reported in advance by the large industrial electricity customers, ΔL 弹性负荷 is the flexible load change amount, a 时间指数 is the time index of the flexible load.

[0015] As a further optimization of the above multi-energy complementary dispatching control method for the water, wind, light and storage comprehensive power grid: the regional power supply of each region includes photovoltaic power supply, wind power supply, cascade hydropower supply, runoff hydropower supply, energy storage power supply and / or other power supply;

[0016] 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:

[0017] Build a balanced prediction model:

[0018] 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);

[0019] P new,i (t) = P solar,i (t)+P wind,i (t);

[0020]

[0021] Among them, P new,i (t) is the new 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 supply, P other,i (t) is the generating capacity of other power sources, L 全网 (t) is the total load of the power grid; the regional power flow parameter P is solved 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. If P 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.

[0022] As a further optimization of the multi-energy complementary dispatching control method for the hydro-wind-solar-storage integrated power grid, the calculation method of the photovoltaic power generation capacity is:

[0023]

[0024] 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;

[0025] And there are

[0026]

[0027] in, For region R i The maximum absorption capacity of the electric energy generated by the photovoltaic power source at time t.

[0028] As a further optimization of the multi-energy complementary dispatching control method for the hydro-wind-solar-storage integrated power grid, the calculation method of the wind power generation capacity is:

[0029] 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

[0030] in, For region R i The maximum absorption capacity of the electric energy generated by the wind power source at time t.

[0031] As a further optimization of the multi-energy complementary dispatching control method for the hydropower, wind, solar and storage integrated power grid, the calculation method of the cascade hydropower generation capacity is as follows:

[0032] V i (t+1)=V i (t)+[Q in,i (t)-Q out,i (t)]Δt;

[0033] Q in,i (t) = Q out,i-1 (t-τ i-1,i )+q local,i (t);

[0034] P cascade,i (t) = η hydro,i ·ρgH i1 (t)Q out,i (t);

[0035] Among them, V i (t) is the reservoir H i The water storage capacity 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 flows from upstream H i-1 To downstream H itime delay, q local,i (t) is the local natural inflow, p is the density of water, g is the acceleration of gravity, H i1 (t) is the effective head of the cascade hydropower source;

[0036] And there are

[0037]

[0038] Q out,i (t)≥Q eco,i ;

[0039] Wherein, Q eco,i is the minimum discharge to meet the ecological environment requirements;

[0040] The calculation method of the generating capacity of the runoff type hydropower source is:

[0041] P runoff,i (t)=η runoff,i ·ρgH i2 (t)Q river,i (t);

[0042] Wherein, η runoff,i is the efficiency of the runoff type hydropower station i, Q river,i (t) is the natural flow of the river, H i2 (t) is the effective head of the runoff type hydropower source;

[0043] And there are

[0044]

[0045] As a further optimization of the above multi-energy complementary dispatching control method for the water, wind, light and storage integrated power grid, the calculation method of the generating capacity of the storage power source is:

[0046]

[0047] Wherein, E i (t) is the energy of the storage power source i at time t, η charge and η discharge are the charging efficiency and discharging efficiency of the storage power source respectively;

[0048] And there are

[0049]

[0050] As a further optimization of the above multi-energy complementary dispatching control method for the water, wind, light and storage integrated power grid, the tie line limit constraint condition is Wherein, P line,i→k (t) is the power flow from the region R i to the region Rk the tie-line power, and are the minimum transmission capacity and the maximum transmission capacity of the tie-line, respectively;

[0051] The whole network power balance constraint condition is:

[0052]

[0053] As a further optimization of the above multi-energy complementary dispatching control method for the water-wind-solar-storage integrated power grid, the energy dispatching target is:

[0054] minJ = -w1J1 + w2J2 - w3J3 + w4J4 + w5J5;

[0055]

[0056] minJ2 = ∑ t (ΔP new+storage (t)) 2 ;

[0057] maxJ3 = ∑ t ∑ i λ cascade,i (t)P cascade,i (t);

[0058] minJ4 = min ∑ t (C wind (t) + C solar (t) + C storage (t) + C hydro (t));

[0059] minJ5 = min ∑ t (Δf(t) 2 + ΔV(t) 2 );

[0060] wherein w1, w2, w3, w4, w5 are weight coefficients, and w i ≥ 0, i = 1, 2, 3, 4, 5, λ cascade,i (t) is the water energy utilization efficiency of the hydropower station H i at time t, C wind (t), C solar (t), C storage (t), C hydro (t) are the operation costs of the wind power source, the photovoltaic power source, the energy storage power source, and the total hydropower source, respectively, and the total hydropower source includes the cascade hydropower source and the runoff hydropower source, Δf(t) is the frequency deviation at time period t, and ΔV(t) is the voltage deviation at time period t;

[0061] And there are

[0062]

[0063] A multi-energy complementary dispatching control system for a water, wind, light, and storage integrated power grid is used to implement the multi-energy complementary dispatching control method for the water, wind, light, and storage integrated power grid, and the system comprises:

[0064] A data acquisition device is used to divide the power grid into N regions according to the power grid structure and tie lines, and determine the power supply information of the regional power supply in each region.

[0065] A data processing device is used to generate a power grid integrated power generation and transmission plan and a multi-energy complementary power generation and transmission plan.

[0066] A data issuing device is used to issue the multi-energy complementary power generation and transmission plan.

[0067] Beneficial effects: The application can comprehensively dispatch the power generation capacity of various power supplies in the power grid and the expected load of various power supplies, especially the new energy power supplies such as photovoltaic power supplies and hydropower supplies, to efficiently and accurately dispatch the new energy power supplies, fully guarantee the consumption capacity of new energy, and also guarantee the stability of the power grid. BRIEF DESCRIPTION OF DRAWINGS

[0068] Figure 1 is a flowchart of the method of the application;

[0069] Figure 2 is a structural block diagram of the system of the application. DETAILED DESCRIPTION

[0070] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0071] As Figure 1 shown, the multi-energy complementary dispatching control method for a water, wind, light, and storage integrated power grid comprises S1 to S7.

[0072] S1, divide the power grid into N regions R i (i = 1, 2, …, N) according to the power grid structure and tie lines, and determine the regional power supply in each region. The regional power supply of each region comprises photovoltaic power supply, wind power supply, cascade hydropower supply, runoff hydropower supply, energy storage power supply, and / or other power supply, wherein the other power supply comprises thermal power supply and nuclear power supply, etc.

[0073] S2, for each region R i , the load prediction is performed using historical load data and load influencing factors to obtain the time period-based regional load demand L i (t). The prediction method of the regional load demand L i (t) is:

[0074]

[0075] wherein a is a weight coefficient, L 近期 is the recent load, L 去年,同日 is the load on the same day last year, G is the annual average growth rate of the load, a T is the temperature influencing coefficient, a H is the humidity influencing coefficient, T is the predicted temperature for the day, H is the predicted humidity for the day, c is the holiday influencing coefficient, D is the holiday factor and takes the value of 0 or 1, e is the weekend influencing coefficient, E is the weekend factor and takes the value of 0 or 1, f is the influencing coefficient when the holiday and the weekend overlap, F is the holiday and weekend overlap factor and takes the value of 0 or 1, AL 大工业 is the predicted load change amount submitted in advance by the large industrial electricity customers, which is determined according to the activities or operation changes predicted by the large industrial electricity customers, and is used to adjust the overall load prediction in real time, the large industrial electricity customers are electricity customers whose electricity load accounts for more than 3%, AL 弹性负荷 is the flexible load change amount, a 时间指数 is the time index of the flexible load.

[0076] Further, for the holiday factor D, when a day is a holiday, the value of D is 1, otherwise the value is 0, here the holiday refers to a statutory holiday; for the weekend factor E, when a 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 day is both a holiday and a weekend, the value of F is 1, otherwise the value is 0.

[0077] The flexible load includes electric vehicle charging and discharging load and energy storage load; the electric vehicles contained in the power grid participate in V2G scheduling, that is, the electric vehicles are preferentially considered for participating in scheduling when the load is high, and are discharged to the power grid as energy storage devices, while the system load is low, the electric vehicles are still charged as power equipment to supplement their own power; when the energy storage system is connected to the power grid, the energy storage and release can be performed according to the existing load change of the system, when the power grid load is low, the energy storage can supplement its own power to fill the trough, and when the power grid load is at the peak, the energy storage can act as a power source to release electric energy to eliminate the peak, achieving the effect of peak clipping and valley filling.

[0078] S3, the time period-based regional comprehensive power generation capacity is predicted according to the regional power supply, and the time period-based regional load demand L i(t) and regional integrated generation capacity to determine the power grid power balance of the region. According to the regional load demand L i The method for judging the power grid power balance of the region by (t) and regional integrated generation capacity is as follows.

[0079] Establish a balance prediction model:

[0080] L i (t) = P new,i (t) + P line,i (t) + P cascade,i (t) + P runof,i (t) + P other,i (t) + P storage,i (t);

[0081] P new,i (t) = P solar,i (t) + P wind,i (t);

[0082]

[0083] Wherein, P new,i (t) is the new energy 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 cascade hydropower generation capacity, P runof,i (t) is the run-of-river hydropower generation capacity, P storage,i (t) is the energy storage power generation capacity, P other,i (t) is the other power generation capacity, L 全网 (t) is the total load of the power grid.

[0084] Based on the balance prediction model, the regional power flow parameter P line,i and the energy storage flow parameter P storage,i are solved, if P line,i >0, the regional power flow is inward input, if P line,i <0, the regional power flow is outward output, if P storage,i >0, the energy storage flow is energy storage discharge, if P storage,i <0, the energy storage flow is energy storage charging.

[0085] More specifically, the calculation method of each power generation capacity is as follows.

[0086] The calculation method of photovoltaic power generation capacity is:

[0087]

[0088] Wherein, η solarFor photovoltaic module efficiency, G i (t) is the solar irradiance in the region R i for a period of time t, G STC is the solar irradiance under standard test conditions;

[0089] And have

[0090]

[0091] wherein, is the region R i The maximum consumption capacity of the photovoltaic power supply at time t is determined according to the consumption capacity of the regional power grid and the safety and stability requirements of the power grid.

[0092] The calculation method of the wind power generation capacity is:

[0093]

[0094] wherein, is the region R i The total installed capacity of the wind turbine, f wind (v i (t)) is the power curve function of the wind turbine;

[0095] And have

[0096] wherein, is the region R i The maximum consumption capacity of the wind power supply at time t.

[0097] The calculation method of the cascade hydropower generation capacity is:

[0098] V i (t+1) = V i (t) + [Q in,i (t) - Q out,i (t)] Δt;

[0099] Q in,i (t) = Q out,i-1 (t-τ i-1,i ) + q local,i (t);

[0100] P cascade,i (t) = η hydro,i · ρgH i1 (t) Q out,i (t);

[0101] wherein, V i (t) is the water storage of the reservoir H i 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 flows from upstream H i-1 To downstream H i The time delay, q local,i (t) is the local natural inflow, ρ is the density of water, g is the acceleration of gravity, H i1 (t) is the effective water head of the cascade hydropower source;

[0102] And there are

[0103]

[0104] Q out,i (t)≥Q eco,i ;

[0105] The above three formulas are respectively the water storage constraint, output constraint and ecological flow constraint of cascade hydropower sources, among which Q eco,i The minimum downstream flow rate to meet the requirements of the ecological environment.

[0106] The calculation method for the generating capacity of run-of-river hydropower is:

[0107] P runof,i (t) = η runof,i ·ρgH i2 (t)Q river,i (t);

[0108] Among them, η runof,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 run-of-river hydropower source;

[0109] And there are

[0110]

[0111] The calculation method of energy storage power generation capacity is:

[0112]

[0113] Among them, E i (t) is the energy of energy storage source i at time t, η charge and η discharge are the charging efficiency and discharging efficiency of the energy storage power supply respectively;

[0114] And there are

[0115]

[0116] S4, generating regional power generation and transmission plan according to power grid balance of the region, tie line limit constraint condition, regional comprehensive power generation capacity and new energy consumption capacity. The tie line limit constraint condition is used to reflect the constraint generated by the limitation of line condition in the process of power dispatching between different regions. Specifically, the tie line limit constraint condition is wherein, P line,i→k (t) is the regional R i power transmission to the region R k, and are the minimum transmission capacity and the maximum transmission capacity of the tie line respectively.

[0117] The whole network power balance constraint condition is:

[0118]

[0119] S5, generating the comprehensive power generation and transmission plan of the power grid by comprehensively integrating the regional power generation and transmission plans of all regions and combining the whole network power balance constraint condition.

[0120] S6, dividing the dispatching period of the power grid into multiple segments and assigning 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 four segments of night valley, early peak, midday flat segment and late peak are divided. According to actual experience, in the early peak and late peak segments, the power grid load is high, the photovoltaic power generation capacity is small or 0, the water power and energy storage support the growth of power grid load, and ensure that the energy storage power is fully discharged; in the night valley segment, the power grid load is low, the photovoltaic power generation capacity is 0, according to the predicted load condition and power generation capacity of the power grid, the charging of the energy storage is considered to support the growth of the early peak load; in the midday flat segment, the power grid load is low, the photovoltaic power generation capacity is the strongest, the water power output is considered to be reduced for water storage, and the energy storage is charged at high power to jointly support the growth of the late peak load. On this basis, by taking different dispatching strategies in different time periods, the maximum new energy consumption, the minimum new energy output fluctuation and the highest comprehensive utilization rate of cascade hydropower stations can be ensured, and the economy and safety of power grid operation are considered to form the energy dispatching target.

[0121] The energy dispatching target is:

[0122] minJ = -w1J1 + w2J2 - w3J3 + w4J4 + w5J5;

[0123]

[0124] minJ2 = ∑ t (ΔP new+storage (t)) 2 ;

[0125] maxJ3 = ∑t ∑ i λ cascade,i (t)P cascade,i (t);

[0126] minJ4=min∑ t (C wind (t)+C solar (t)+C storage (t)+C hydro (t));

[0127] minJ5=min∑ t (Δf(t) 2 +ΔV(t) 2 );

[0128] where w1,w2,w3,w4,w5 are weight coefficients, and w i ≥0,i=1,2,3,4,5,λ cascade,i (t) is the water energy utilization efficiency of the hydropower station H i At time t, C wind (t), C solar (t), C storage (t), C hydro (t) are the operating costs of the wind power source, the photovoltaic power source, the energy storage power source and the total hydropower source respectively, and the total hydropower source includes the cascade hydropower source and the runoff hydropower source, Δf(t) is the frequency deviation at time period t, and ΔV(t) is the voltage deviation at time period t.

[0129] and have

[0130]

[0131] Specifically, in the energy dispatching target, the new energy consumption target J1 needs to be maximized, the new energy output fluctuation target J2 needs to be minimized, the cascade hydropower station water energy utilization rate target J3 needs to be maximized, the system operating cost J4 needs to be minimized, and the safety risk J5 needs to be minimized. By comprehensively considering these targets, the total dispatching target, i.e. the comprehensive objective function minJ=-w1J1+w2J2-w3J3+w4J4+w5J5, can be obtained.

[0132] When optimizing the objective function, the constraint conditions considered include the power balance constraint, the charge and discharge constraint of the energy storage system, the water flow and power generation capacity constraint of the hydropower station, the power source output constraint, and the tie-line load constraint and system frequency constraint. The power balance constraint, i.e. ensuring that the total load demand of the system in all time periods is equal to the total power generation plus the net discharge of the energy storage system, is as follows:

[0133] L i (t)=Pnew,i (t)+P cascade,i (t)+P runoff,i (t)+P other,i (t)+P storage,i (t)+P line,i (t);

[0134]

[0135] S7. Optimize the comprehensive power generation and transmission plan of the power grid according to the energy dispatch target and generate a multi-energy complementary power generation and transmission plan.

[0136] 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.

[0137] The data acquisition device is used to divide the power grid into N areas based on the power grid structure and 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 power grid's automated dispatching system.

[0138] 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.

[0139] The data transmitting device is used to transmit the multi-energy complementary power generation and transmission plan. The data transmitting device may include a data display terminal correspondingly arranged in each power station, and the data display terminal is used to display the multi-energy complementary power generation and transmission plan in real time.

[0140] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily 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 is not limited to the embodiments shown herein but is intended to conform 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 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 the 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 balance, tie line limit constraints, regional comprehensive power generation capacity, and new energy consumption capacity; Integrate regional power generation and transmission plans for 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 grid's dispatch period into multiple segments and assign energy dispatch targets to each segment; 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 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 The comprehensive power generation and transmission plan of the power grid is optimized according to the energy dispatch objectives to generate a multi-energy complementary power generation and transmission plan.

2. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 1, characterized in that: Regional load demand L i The prediction method of (t) is: Among them, α is the weight coefficient, L 近期 is the 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 expected 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, characterized in that: The regional power supply of each region includes photovoltaic power, wind power, cascade hydropower, run-of-river hydropower, energy storage power and / or other power sources; 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 (t) 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 supply, P other,i (t) is the generating capacity of other power sources, L 全网 (t) is the total load of the 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. If P 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.

4. The multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to claim 3, 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, 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, characterized in that: The calculation method for the generating capacity of cascade hydropower sources is: V i (t+1)=V i (t)+[Q in,i (t)-Q out,i (t)]Δt; 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 capacity 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 flows from upstream H i-1 To downstream H i The time delay, q local,i (t) is the local natural inflow, ρ is the density of water, g is the acceleration of gravity, 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 To meet the minimum downstream flow required by the ecological environment; 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 run-of-river 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, 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 are the charging efficiency and discharging efficiency of the energy storage power supply 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, characterized in that: The tie line limit constraint is Among them, P line,i→k (t) is the region R i Towards 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. A multi-energy complementary dispatching and control system for a hydro-wind-solar-storage integrated power grid, characterized in that: A system for implementing a multi-energy complementary dispatching control method for a hydro-wind-solar-storage integrated power grid according to any one of claims 1 to 8, comprising: A data acquisition device, configured to divide the power grid into N areas according to the power grid structure and the tie lines, and determine 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 the 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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