Scheduling method for energy selection

Abstract

The invention discloses a scheduling method for energy selection, belongs to the field of energy scheduling, and aims to solve the problem that new energy power generation is blocked and a system fluctuates due to insufficient peak regulation capacity of a power grid caused by large increase of new energy and other energy. The method comprises the following steps: step 1, establishing a new energy scheduling model and a multi-energy scheduling model, and constructing a plurality of constraint conditions to constrain the multi-energy scheduling model; and 2, power between the power grid and the load is collected in real time, if the power is smaller than preset power, the new energy scheduling model is adopted to supply power to the power grid, and if the power is not smaller than the preset power, the multi-energy scheduling model is adopted to supply power to the power grid. The method is used for energy scheduling.

Description

Technical Field

[0001] The invention belongs to the field of energy scheduling and relates to an energy scheduling method. Background Art

[0002] Currently, a large number of renewable energy sources are connected to the power grid, coupled with thermal power units and coal-fired power units to form multi-energy sources, which together provide electricity for the power system. However, after large-scale wind and solar energy, thermal power units and coal-fired power units are connected to the power grid, the peak-to-valley difference of the system's equivalent load has increased instead of decreased, increasing the system's demand for peak regulation and increasing the volatility of the system. Therefore, the large increase in renewable energy and other energy sources has resulted in insufficient peak-shaving capacity for the power grid, which will cause problems such as obstruction of new energy power generation and system fluctuations. Summary of the invention

[0003] The purpose of the present invention is to solve the problem that a large amount of new energy and other energy sources will lead to insufficient peak-shaving capacity of the power grid, which will cause obstruction of new energy power generation and system fluctuations, and propose a scheduling method for energy selection.

[0004] A method for scheduling energy selection, the method comprising the following:

[0005] Step 1: Establish a new energy scheduling model and a multi-energy scheduling model, and construct a multi-energy scheduling model constrained by multiple constraints;

[0006] Step 2: The power between the power grid and the load is collected in real time. If the power is less than the preset power, the new energy scheduling model is used to power the power grid. If the power is not less than the preset power, the multi-energy scheduling model is used to power the power grid.

[0007] Preferably, the new energy dispatch model is:

[0008]

[0009] In the formula, F t is the total system cost, T is the total time period, N wind is the number of wind farms, N v is the number of photovoltaic power plants, F wind,t,i is the power generation cost of the i-th wind turbine in the dispatching period t, F ph,t,j is the power generation cost of the jth PV power station in the scheduling period t;

[0010]

[0011] In the formula, a i , b i , c i is the cost coefficient of the wind turbine, P i,t is the output of wind turbine i in the dispatching period t;

[0012]

[0013] Where, d j , e j , f j is the cost coefficient of the wind turbine, P j,t is the output of PV power station j in the scheduling period t.

[0014] Preferably, the multi-energy scheduling model is:

[0015]

[0016] In the formula, F h,t,n is the power generation cost of the nth thermal power unit in the dispatch period t, F e,t,m is the power generation cost of the mth thermal power unit in the dispatch period t;

[0017]

[0018] Where P n,t is the output of thermal power unit n in the dispatching period t;

[0019]

[0020] Where P m,t is the output of thermal power unit m during the scheduling period t.

[0021] Preferably, the constraint conditions include upper and lower limit constraints on the active output of thermal power units and upper and lower limit constraints on the output of new energy units.

[0022] Preferably, the upper and lower limits of active output of thermal power units are constrained as follows:

[0023] P n,min ≤P n,t ≤P n,max Formula 7,

[0024] Where P n,min is the lower limit of the active output of thermal power unit n, P n,max It is the upper limit of active power output of thermal power unit n.

[0025] Preferably, the upper and lower limits of the output of the new energy units are:

[0026] P i,min ≤P i,t ≤P i,max Formula 8,

[0027] P j,min ≤P j,t ≤P j,max Formula 9,

[0028] Where P n,minis the lower limit of active output of wind turbine i, P n,max is the upper limit of active output of wind turbine i; P j,min is the lower limit of active power output of photovoltaic power station j, P j,max is the upper limit of active power output of PV station j.

[0029] The beneficial effects of the present invention are:

[0030] The present invention dispatches a new energy dispatching model or a multi-energy dispatching model to provide energy for the power grid according to the power required by the load. When the load energy demand is small, new energy is used preferentially. When the load energy demand is large, the complementary characteristics of various energy sources are used for optimized dispatching. Therefore, the present invention reasonably dispatches energy according to load demand, improves the peak-shaving capacity of the power grid, and reduces system fluctuations.

[0031] When the present invention adopts a multi-energy scheduling model to provide energy for the power grid, it explores the significant differences in the operation and regulation characteristics of different energy sources. Multi-energy complementarity can be achieved by complementary regulation of different energy sources to achieve complementarity in regulation depth and regulation speed, thereby achieving coordinated complementarity of multiple energy sources, alleviating the contradiction of insufficient peak-shaving resources, and improving the level of new energy consumption.

[0032] The present invention taps into the peak-shaving resources of the power grid. First, it deeply taps into the complementary characteristics of wind turbines and thermal power units, and uses the complementary characteristics of various energy sources to optimize scheduling, improve the peak-shaving capacity of the power grid, and thus improve the level of new energy consumption. The present invention has important theoretical and practical significance for alleviating the problem of new energy consumption being hindered due to insufficient peak-shaving capacity of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 Flowchart of the dispatch method selected for the energy source. DETAILED DESCRIPTION

[0034] 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.

[0035] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0037] Example:

[0038] A method for scheduling energy selection, the method comprising the following:

[0039] Step 1: Establish a new energy scheduling model and a multi-energy scheduling model, and construct a multi-energy scheduling model constrained by multiple constraints;

[0040] Step 2: The power between the power grid and the load is collected in real time. If the power is less than the preset power, the new energy scheduling model is used to power the power grid. If the power is not less than the preset power, the multi-energy scheduling model is used to power the power grid.

[0041] The new energy dispatch model is introduced below:

[0042]

[0043] In the formula, F t is the total system cost, T is the total time period, N wind is the number of wind farms, N v is the number of photovoltaic power plants, F wind,t,i is the power generation cost of the i-th wind turbine in the dispatching period t, F ph,t,j is the power generation cost of the jth PV power station in the scheduling period t;

[0044]

[0045] In the formula, a i , b i , c i is the cost coefficient of the wind turbine, P i,t is the output of wind turbine i in the dispatching period t;

[0046]

[0047] Where, d j , e j , f j is the cost coefficient of the wind turbine, P j,t is the output of PV power station j in the scheduling period t.

[0048] Specifically, the model is selected according to the load power consumption to maintain system stability and avoid system fluctuations.

[0049] The multi-energy scheduling model is introduced below:

[0050]

[0051] In the formula, F h,t,n is the power generation cost of the nth thermal power unit in the dispatch period t, F e,t,m is the power generation cost of the mth thermal power unit in the dispatch period t;

[0052]

[0053] Where P n,t is the output of thermal power unit n in the dispatching period t;

[0054]

[0055] Where P m,t is the output of thermal power unit m during the scheduling period t.

[0056] The constraints are introduced below: The constraints include the upper and lower limits of active output of thermal power units and the upper and lower limits of output of new energy units.

[0057] The following introduces the upper and lower limits of active output of thermal power units:

[0058] P n,min ≤P n,t ≤P n,max Formula 7,

[0059] Where P n,min is the lower limit of the active output of thermal power unit n, P n,max It is the upper limit of active power output of thermal power unit n.

[0060] The following introduces the upper and lower limits of the output of new energy units:

[0061] P i,min ≤P i,t ≤P i,max Formula 8,

[0062] P j,min ≤P j,t ≤P j,max Formula 9,

[0063] Where P n,min is the lower limit of active output of wind turbine i, P n,max is the upper limit of active output of wind turbine i; P j,min is the lower limit of active power output of photovoltaic power station j, P j,max is the upper limit of active power output of PV station j.

[0064] Specifically, through constraint conditions, the output of each energy source is constrained to avoid system fluctuations.

[0065] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. A scheduling method for energy selection, characterized in that: The method comprises the following: Step 1: Establish a new energy scheduling model and a multi-energy scheduling model, and construct a multi-energy scheduling model constrained by multiple constraints; Step 2: The power between the power grid and the load is collected in real time. If the power is less than the preset power, the new energy scheduling model is used to power the power grid. If the power is not less than the preset power, the multi-energy scheduling model is used to power the power grid.

2. The energy selection scheduling method according to claim 1, characterized in that: The new energy dispatch model is: In the formula, F t is the total system cost, T is the total time period, N wind is the number of wind farms, N v is the number of photovoltaic power plants, F wind,t,i is the power generation cost of the i-th wind turbine in the dispatching period t, F ph,t,j is the power generation cost of the jth PV power station in the scheduling period t; In the formula, a i , b i , c i is the cost coefficient of the wind turbine, P i,t is the output of wind turbine i in the dispatching period t; Where, d j , e j , f j is the cost coefficient of the wind turbine, P j,t is the output of PV power station j in the scheduling period t.

3. The method for scheduling energy selection according to claim 2, characterized in that: The multi-energy scheduling model is: In the formula, F h,t,n is the power generation cost of the nth thermal power unit in the dispatch period t, F e,t,m is the power generation cost of the mth thermal power unit in the dispatch period t; Where P n,t is the output of thermal power unit n in the dispatching period t; Where P m,t is the output of thermal power unit m during the scheduling period t.

4. The method for scheduling energy selection according to claim 3, characterized in that: The constraints include the upper and lower limits of active power output of thermal power units and the upper and lower limits of output of new energy units.

5. The method for scheduling energy selection according to claim 4, characterized in that: The upper and lower limits of active power output of thermal power units: P n,min ≤P n,t ≤P n,max Formula 7, Where P n,min is the lower limit of the active output of thermal power unit n, P n,max It is the upper limit of active power output of thermal power unit n.

6. The method for scheduling energy selection according to claim 4, characterized in that: Output upper and lower limits of new energy units: P i,min ≤P i,t ≤P i,max Formula 8, P j,min ≤P j,t ≤P j,max Formula 9, Where P n,min is the lower limit of active output of wind turbine i, P n,max is the upper limit of active output of wind turbine i; P j,min is the lower limit of active power output of photovoltaic power station j, P j,max is the upper limit of active power output of PV station j.

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