CN112332456A - Optimal control method and device for heat accumulating type electric heating load to participate in power grid operation - Google Patents
Optimal control method and device for heat accumulating type electric heating load to participate in power grid operation Download PDFInfo
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Abstract
The invention discloses an optimal control method and device for participation of heat accumulating type electric heating loads in power grid operation, wherein the method comprises the following steps: acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, and performing optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined running optimization model based on the acquired data to obtain a wind power plant, a thermal power generating unit and real-time power scheduling data of accessed heat accumulating type electric heating; the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions. According to the method, the total power generation cost of the system is minimum, an optimization model is constructed, real-time power dispatching data of the wind power plant, the thermal power generating unit and the accessed heat accumulating type electric heating are obtained through solving, and peak load regulation pressure of the system caused by wind power integration is relieved.
Description
Technical Field
The invention belongs to the technical field of operation scheduling of a cooling, heating and power comprehensive energy system, and particularly relates to an optimal control method for participation of heat accumulating type electric heating loads in power grid operation, and further relates to an optimal control device for participation of the heat accumulating type electric heating loads in the power grid operation.
Background
In recent years, the problem of air pollution has become more serious, especially in the important cities in the north. The normal production and work of people are seriously damaged by the phenomena of severe haze weather and the like. One of the main pioneers causing the haze weather in winter is the inefficient coal-fired heating mode. Therefore, the fundamental way of treating haze is to seek cleaner and more environment-friendly energy and reduce the utilization rate of low-efficiency energy. The most mature clean energy of the technology all over the world at present is wind power, and the development and popularization of the wind power become the key points of attention of all countries. Wind power output areas in China are mainly concentrated in the 'three north' area, production and life in winter in the area need to be guaranteed by heating, and the heating has the characteristics of high popularization degree and large scale. However, due to the limitation of the policy of 'fixing electricity by heat', the phenomenon of wind abandoning is serious. For this reason, on one hand, the power supply configuration in this area has a certain unreasonable property, and the ratio of the flexible power supply is low, which affects the flexible adjustment capability to some extent. In the heating period in winter, the total amount of the cogeneration units is large, the occupation ratio is high, and the adjusting capacity is further weakened under the influence of 'fixing the power with heat', so that the wind power on-line is limited to a certain extent; on the other hand, due to continuous innovation in the technical aspect of wind power generation equipment, the efficiency of wind power generation is improved, so that the wind power generation capacity of the regions is continuously increased sharply, but the local power consumption demand is limited due to the constraint of geographical positions and economic development levels, and the wind power with abundant reserve cannot be accepted; moreover, if wind power is transmitted in a long distance, the requirement is far from being met in the current technical level, and the waste of wind power is caused.
The reserve capacity of wind energy in the three north area of China is sufficient, large-scale development and utilization are facilitated, and the wind power acceptance problem is increasingly serious while the wind power is rapidly developed. And the proportion of the heat load in the area is higher, and during the heating in winter, the operating mode of the cogeneration heat supply unit excites the contradiction between the heat supply and the peak regulation, and reduces the flexibility of the power grid regulation, thereby increasing the air abandon quantity.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides an optimal control method for the heat accumulating type electric heating load to participate in the operation of a power grid.
In order to solve the technical problems, the technical scheme of the invention is as follows.
In a first aspect, the invention provides an optimal control method for participation of heat accumulating type electric heating loads in power grid operation, which comprises the following steps:
acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, wherein the wind power and heat accumulating type electric heating combined running mode comprises a wind power plant, a thermal power generating unit and a power grid on a power supply side, and heat accumulating type electric heating loads and electric loads connected with the power supply side;
based on the acquired data, performing optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined operation optimization model to obtain a wind power plant, a thermal power generating unit and real-time power dispatching data of accessed heat accumulating type electric heating;
the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions.
Further, the optimization target of the wind power and heat accumulating type electric heating combined operation optimization model is as follows:
in the formula: t is the number of time segments; i is the number of thermal power units; u. ofi,t1 represents an operation state and 0 represents a shutdown state for a state variable of the thermal power generating unit i in a time period t; pi,tAs heat powerThe output of the unit i in the time period t; a isi、bi、ciIs the coefficient of the coal consumption function of the thermal power generating unit i.
Further, the power balance constraint is:
in the formula: p is a radical ofwg,tReal-time output is carried out on the wind power plant at t time period; xifThe service power rate of the thermal power generating unit; xiwThe plant power rate of the wind power plant; p is a radical ofload,tThe non-electric heating load power is t time period; p is a radical ofh,tIs the load power of the heat accumulating type electric heating in the time period t.
Further, the wind farm power constraint is:
pwg,t≤pw,t (4)
in the formula, pw,tAnd predicting wind power for the wind power plant at the time t.
Further, the power constraint of the thermal power generating unit is as follows:
pi,min＜pi,t≤pi,max (3)
wherein p isi,minAnd pi,maxThe power lower limit and the power upper limit of the ith thermal power generating unit are respectively.
Further, the power constraint of the regenerative electric heating system comprises:
the power consumption of the heat accumulating type electric heating is not more than the rated power of the heat accumulating type electric heating at a certain time, namely
0＜ph,t≤Ph (5)
In the formula, PhRated power for heat accumulating type electric heating;
the daily power consumption of the heat accumulating type electric heating is equal to the demand, i.e.
In the formula, QhThe daily electric quantity requirement of the heat accumulating type electric heating is met.
In a second aspect, the invention provides an optimized control device for the participation of heat accumulating type electric heating loads in the operation of a power grid, which comprises the following processes:
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, and the wind power and heat accumulating type electric heating combined running mode comprises a wind power plant, a thermal power generating unit and a power grid at a power supply side, and heat accumulating type electric heating loads and electric loads connected with the power supply side;
the optimization scheduling module is used for carrying out optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined operation optimization model based on the acquired data to obtain a wind power plant, a thermal power generating unit and real-time power scheduling data of the accessed heat accumulating type electric heating;
the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions.
In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for optimally controlling the regenerative electric heating load to participate in the operation of the power grid according to the first aspect is implemented.
Compared with the prior art, the invention has the following beneficial effects: the regenerative electric heating is used as an adjustable load to be combined with wind power with reverse peak regulation characteristics, the wind power is utilized by utilizing the complementary characteristics of the load and the wind power, the heating requirement is met, and the peak regulation problem existing in the power grid is solved. Through the dispatching of the heat accumulating type electric heating, the power consumption of the load in the low valley period is increased, the power peak-valley difference is reduced, the load curve tends to the expected shape, the peak regulation control of the system is participated in from the perspective of users, and the peak regulation capacity of the system is improved.
Drawings
FIG. 1 is a schematic view of a wind power and heat accumulating type electric heating combined operation mode of the present invention;
FIG. 2 is a wind power and electrical load prediction curve of an example;
FIG. 3 is a comparison of wind power consumption levels in different operating modes of an example;
fig. 4 shows the change of load curve with or without heat accumulating type electric heating.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention conception of the invention is as follows: the regenerative electric heating is used as an adjustable load to be combined with wind power with reverse peak regulation characteristics, the wind power is utilized by utilizing the complementary characteristics of the load and the wind power, the heating requirement is met, and the peak regulation problem existing in the power grid is solved. Referring to fig. 1, in the case that a wind farm is added to the power generation side, a regenerative electric heating load is added to the load side, and a combined operation mode is formed. And then, with the minimum total power generation cost of the system, combining with a wind power plant, a thermal power generating unit and some related constraints of electric heating, constructing an optimization model, solving the model by using an MATLAB optimization algorithm, obtaining real-time power dispatching data of the wind power plant, the thermal power generating unit and the accessed heat accumulating type electric heating, relieving peak regulation pressure caused by wind power integration on the system, improving the peak regulation level of the system from the perspective of a power supply side, participating in peak regulation control of the system from the perspective of a user, and improving the peak regulation capacity of the system. In practical engineering application, an optimal operation scheme can be selected according to different requirements of users, and the idea and the method for realizing the operation scheduling of the comprehensive energy system containing the heat accumulation type electric heating are provided.
Example 1
The invention relates to an optimal control method for participation of heat accumulating type electric heating loads in power grid operation, which comprises the following processes:
acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, wherein the wind power and heat accumulating type electric heating combined running mode comprises a wind power plant, a thermal power generating unit and a power grid on a power supply side, and heat accumulating type electric heating loads and electric loads connected with the power supply side; all data required to be acquired refer to data related to a subsequent objective function and constraint conditions thereof;
based on the acquired data, performing optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined operation optimization model to obtain a wind power plant, a thermal power generating unit and real-time power dispatching data of accessed heat accumulating type electric heating;
the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions.
According to the method, the total power generation cost of the system is minimum, an optimization model is constructed by combining a wind power plant, a thermal power generating unit and some related constraints of electric heating, the wind power plant, the thermal power generating unit and the accessed real-time power scheduling data of the thermal storage type electric heating are obtained through solving, the peak regulation pressure caused by wind power integration on the system is relieved, the peak regulation level of the system is improved from the perspective of a power supply side, the peak regulation control of the system is participated from the perspective of a user, and the peak regulation capacity of the system is improved.
Example 2
The invention relates to an optimal control method for participation of heat accumulating type electric heating loads in power grid operation, which comprises the following processes:
s1, establishing a wind power and heat accumulating type electric heating combined operation mode;
because the areas in inland China are illuminated at different time periods, the temperature is different, the wind speed changes of all the areas are different, and the wind power generation has a relative change rule. According to the change rule of wind power generation at maximum load and minimum load, the peak regulation characteristics of wind power generation are divided into three types, namely positive peak regulation, excessive peak regulation and inverse peak regulation. In inland China, in areas with natural wind heights over 30 meters, as for wind speed, the wind speed is usually high at night and low in the daytime; regarding the wind power, the noon temperature is the highest, the natural wind is the smallest, and is in the valley period of wind power generation, and the night temperature is the lowest, the natural wind is the largest, and is in the peak period of wind power generation. Therefore, the peak shaving characteristics of inland wind power generation are mostly reverse peak shaving.
The regenerative electric heating is an efficient and environment-friendly heating mode, and generally heats a heat accumulator to a higher temperature by using cheaper electric power at night, and then releases heat energy in the heat accumulator at peak power. According to different heat accumulators, the energy storage thermal electric heater mainly has two types of sensible heat and phase change. Sensible heat storage type electric heating generally stores heat through substances with relatively strong heat absorption capacity and substances with relatively large product of density and specific heat, such as water and oil; phase change regenerative electric heating stores heat by the ability of the material to absorb and store heat from surrounding objects when a phase change occurs, for example, one kilogram of ice to water stores 79.6 kcal of heat when a first order phase change occurs. The electric heating with the heat storage device has the characteristic of adjustable load. Therefore, in a certain unit time, under the condition of required heat, the user of the urban central heating system can adjust the power consumption of the electric heating system in different periods according to the requirement. The balance between heat supply and heat load is completed by the heat storage device, so that the load difference between the peak load and the valley load can be changed, and load shaping to a certain degree is achieved.
Wind power generation often presents a characteristic opposite to electric power peak shaving, namely, in the low-valley period of load at night, wind power and wind speed are strong, the wind power generation capacity is increased, the peak-valley difference of load of a power grid is enlarged, and great pressure is generated for peak shaving of a system, so that the capacity of the power grid for receiving wind power generation power is insufficient. The nature of the regenerative electric heating is similar to that of an adjustable load, because the consumed load power can be adjusted according to the needs of the power grid, thereby playing the role of peak-load frequency modulation.
By combining the complementary advantages of the two, the invention arranges three sources of wind power, thermal power and power grid at the power supply side, adds a heat accumulating type electric heating load at the load side, and the wind power and heat accumulating type electric heating combined mode is schematically shown in figure 1. Whether certain positive influence is generated in the participation of the application of the heat accumulating type electric heating in the system peak regulation or not is researched through the combined optimization operation of the heat accumulating type electric heating and the heat accumulating type electric heating, and the peak regulation capacity of a power grid is improved.
S2, establishing an optimization target and constraint conditions in a wind power and heat accumulating type electric heating combined operation mode;
under the wind power and heat accumulation type electric heating combined operation mode, the optimization target is set to be the minimum total power generation cost of the system, and the calculation formula is as follows:
in the formula: t is the number of time segments; i is the number of thermal power units; u. ofi,t1 represents an operation state and 0 represents a shutdown state for a state variable of the thermal power generating unit i in a time period t; pi,tThe output of the thermal power generating unit i in the time period t is obtained; a isi、bi、ciIs the coefficient of the coal consumption function of the thermal power generating unit i. The coefficients of the thermal power generating units can be the same or different.
The addition of the heat accumulating type electric heating can change the running state of the system, thereby reducing the coal consumption, and the relationship is embodied in the constraint condition.
Under the combined operation mode of the wind power and the heat accumulating type electric heating, the constraint conditions comprehensively consider power balance constraint, generator set output constraint, wind power real-time output constraint, power consumption constraint of the heat accumulating type electric heating in a certain period of time and daily power consumption constraint of the heat accumulating type electric heating.
Constraint conditions are as follows:
(1) the power balance constraint is:
in the formula: p is a radical ofwg,tReal-time output is carried out on the wind power plant at t time period; xifThe service power rate of the thermal power generating unit; xiwThe plant power rate of the wind power plant; p is a radical ofload,tThe non-electric heating load power is t time period; p is a radical ofh,tIs the load power of the heat accumulating type electric heating in the time period t.
(2) The output constraint of the thermal power generating unit is as follows:
pi,min＜pi,t≤pi,max (3)
wherein p isi,minAnd pi,maxRespectively of the ith thermal power generating unitLower and upper power limits.
(3) The real-time output of wind power is constrained to
pwg,t≤pw,t (4)
In the formula, pw,tAnd predicting wind power for the wind power plant at the time t.
(4) The power consumption of the heat accumulating type electric heating is not more than the rated power of the heat accumulating type electric heating at a certain time, namely
0＜ph,t≤Ph (5)
In the formula, PhIs rated power of heat accumulating type electric heating.
(5) The daily power consumption of the heat accumulating type electric heating is equal to the demand, i.e.
In the formula, QhThe daily electric quantity requirement of the heat accumulating type electric heating is met.
The target function formula (1) and the constraint condition formulas (2) to (6) form a wind power and heat accumulation type electric heating combined operation optimization model.
S3, solving the optimization model;
the invention considers the wind power plant on the basis of the thermal power generating unit and the power grid, takes the common electric load and the electric heating load as the unified load, the power grid receives the power from the thermal power generating unit and the wind power plant respectively and supplies power to all the loads, one part of the electric power of the wind power plant is received by the system, and the other part of the electric power of the wind power plant is directly used for supplying the electric quantity required by the heat accumulating type electric heating load, thus forming the operation optimization model of the wind power and the electric heating load. The model aims at minimizing the total power generation cost of the system, comprehensively considers the power constraint of the thermal power generating unit, the power constraint of the wind power plant and the power constraint of the electric heating load, and obtains the real-time power of the heat accumulating type electric heating, the real-time power of the thermal power generating unit and the wind power plant and the total power generation cost of the system by applying an optimization tool box of the MATLAB to solve the model.
The invention combines the heat accumulating type electric heating as an adjustable load with the wind power with the inverse peak regulation characteristic, realizes the utilization of the wind energy by utilizing the complementary characteristic of the adjustable load and the wind power, meets the heating requirement and solves the peak regulation problem existing in the power grid. Through the dispatching of the heat accumulating type electric heating, the power consumption of the load in the low valley period is increased, the power peak-valley difference is reduced, the load curve tends to the expected shape, the peak regulation control of the system is participated in from the perspective of users, and the peak regulation capacity of the system is improved.
Example 3
The invention will be further illustrated with reference to the accompanying drawings and an example.
In order to analyze the operation condition of the comprehensive energy system containing the heat accumulation type electric heating in detail, a typical comprehensive energy system containing the heat accumulation type electric heating and the wind power is used as an example scene, a curve of the wind power real-time power and the load prediction power in one day is shown in a figure 2, the wind power prediction power is shown in a table 1, the load prediction power is shown in a table 2, and the parameters of a thermal power unit are shown in a table 3. Upper limit of power P of heat accumulating type electric heatingh300 MW; daily power consumption demand Qh1500MW · h; service power consumption xif＝5％，ξ w5%, the number of thermal power units I is 10, and T is 24.
TABLE 1 wind power forecast Power
TABLE 2 predicted Power of load
TABLE 3 thermal power generating unit parameters (all unit data are the same)
Solving the optimization model yields the following data: the power consumption of the heat accumulating type electric heating is shown in a table 4 in 24 time periods a day, the consumption level of wind power (the amount of power generated by a wind power plant on the grid) before and after the heat accumulating type electric heating is operated is shown in a table 3, the consumption level of the wind power in the heat accumulating type electric heating process is shown in a table 5, the consumption level of the wind power in the heat accumulating type electric heating process is shown in a table 6, and the total coal consumption (namely formula 1) and the coal consumption rate (total coal consumption divided by total power) of the system are shown in a table 7.
TABLE 4 consumed electric power of heat accumulating type electric heating
TABLE 5 wind power consumption level with heat accumulating type electric heating
TABLE 6 wind power consumption level during non-heat accumulation type electric heating
TABLE 7 Total coal consumption and coal consumption Rate
Table 4 shows the power consumption of the heat accumulating type electric heating system after the operation optimization, and it can be seen that the power of the heat accumulating type electric heating system is high and the power demand is large during the night time period 23-24 and the early morning time period 1-6; and the electricity consumption power of the heat accumulating type electric heating is lower in other time periods in the daytime, so that the characteristic that the heat accumulating type electric heating stores heat by utilizing the off-peak electricity price at night and releases heat to heat in the daytime so as to move the valley and fill the peak is also met.
Tables 5 and 6 show the wind power consumption levels under the two conditions of the existence of the heat accumulation type electric heating load, and roughly shows that under the two operation modes, the trend of the real-time power of the wind power is basically consistent within 24 time periods in one day, namely the real-time power of the wind power is higher due to larger wind power and wind speed within a time period of 1-8 in the morning; in other time periods in the day, the wind power level is general, and the real-time output of the wind power is not ideal under the condition of low wind speed.
In fig. 3, the consumption level of the power grid for wind power before and after the heat accumulating type electric heating is participated in the operation is shown, so that the consumption level of the system for wind power after the heat accumulating type electric heating is participated in the operation of the system is improved to a certain extent, and the change is more obvious particularly when wind power is abundant at night. Through the analysis, the acceptance level of a power grid to wind power can be effectively improved by the application of the heat accumulating type electric heating, the on-grid electric quantity of the wind power is improved, the standby electric quantity of the system for dealing with wind power instability is saved, the peak regulation capacity of the power grid is indirectly improved, and positive influence is generated on the efficient and reliable operation of the power system.
In table 7, the total power generation cost after the system is optimized to operate is given, and compared with the two situations of the existence of heat accumulation type electric heating, the operation of the electric heating load can be clearly seen, the power generation coal consumption rate of thermal power is properly improved, but the total coal consumption of the system is obviously reduced in the whole view, so that the economical efficiency of the system operation is improved, and the expected optimization result is achieved.
After the heat accumulating type electric heating system is considered and optimized to be scheduled, two load curves with or without electric heating are shown in fig. 4. On the basis, a peak-valley difference variable quantity index (Vp) is introduced, which represents the difference value of the load peak-valley difference after the operation of the heat accumulating type electric heating and the load peak-valley difference before the operation, and is expressed as follows:
Vp＝ph,v-pv (7)
in the formula: p is a radical ofh,vThe load peak-valley difference when there is electric heating load; p is a radical ofvThe load peak-valley difference is the load peak-valley difference when no electric heating load exists. The index reflects the influence and degree of the operation of the heat accumulating type electric heating on the load peak valley difference of the system.
As can be seen from fig. 4, the power consumption of the total load changes in 24 periods of a day before and after the operation of the regenerative electric heating. The curve after the electric heating operation is obviously raised by a certain height in 1-6 hours in the morning compared with the curve before the operation; in most time periods of the day, the two total load curves before and after the operation of the electric heating load are basically superposed, and the total load curve after the operation of the electric heating load is involved is slightly reduced in the peak load period. The variation of the peak-valley difference is calculated to be a negative value (-69), the index data is a negative value, which indicates that the peak-valley difference of the system after the heat accumulating type electric heating participates in the operation is smaller than the peak-valley difference of the system before the heat accumulating type electric heating operates, namely, the heat accumulating type electric heating is applied in the load peak period and the load valley period to play a certain role, the fluctuation of the load is inhibited, the load curve of a user tends to be smooth, the peak-adjusting pressure of the system is reduced, the peak-adjusting margin of a power grid is increased, the peak-adjusting standby of the system is reduced, and favorable conditions are created for the safe and stable operation of the power system.
Example 4
In a second aspect, the invention provides an optimized control device for the participation of heat accumulating type electric heating loads in the operation of a power grid, which comprises the following processes:
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, and the wind power and heat accumulating type electric heating combined running mode comprises a wind power plant, a thermal power generating unit and a power grid at a power supply side, and heat accumulating type electric heating loads and electric loads connected with the power supply side;
the optimization scheduling module is used for carrying out optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined operation optimization model based on the acquired data to obtain a wind power plant, a thermal power generating unit and real-time power scheduling data of the accessed heat accumulating type electric heating;
the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions.
The specific function implementation of each functional module refers to the corresponding technical content in the methods of embodiments 1 and 2.
In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for optimally controlling the regenerative electric heating load to participate in the operation of the power grid according to the first aspect is implemented.
The invention combines the heat accumulating type electric heating as an adjustable load with the wind power with the inverse peak regulation characteristic, realizes the utilization of the wind energy by utilizing the complementary characteristic of the adjustable load and the wind power, meets the heating requirement and solves the peak regulation problem existing in the power grid.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. An optimal control method for participation of heat accumulating type electric heating loads in power grid operation is characterized by comprising the following steps:
acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, wherein the wind power and heat accumulating type electric heating combined running mode comprises a wind power plant, a thermal power generating unit and a power grid on a power supply side, and heat accumulating type electric heating loads and electric loads connected with the power supply side;
based on the acquired data, performing optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined operation optimization model to obtain a wind power plant, a thermal power generating unit and real-time power dispatching data of accessed heat accumulating type electric heating;
the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions.
2. The method for optimally controlling the heat accumulating type electric heating load to participate in the power grid operation according to claim 1, wherein the optimization target of the wind power and heat accumulating type electric heating combined operation optimization model is as follows:
in the formula: t is the number of time segments; i is the number of thermal power units; u. ofi,t1 represents an operation state and 0 represents a shutdown state for a state variable of the thermal power generating unit i in a time period t; pi,tThe output of the thermal power generating unit i in the time period t is obtained; a isi、bi、ciIs the coefficient of the coal consumption function of the thermal power generating unit i.
3. The method according to claim 2, wherein the power balance constraint is as follows:
in the formula: p is a radical ofwg,tReal-time output is carried out on the wind power plant at t time period; xifThe service power rate of the thermal power generating unit; xiwThe plant power rate of the wind power plant; p is a radical ofload,tThe non-electric heating load power is t time period; p is a radical ofh,tIs the load power of the heat accumulating type electric heating in the time period t.
4. The optimal control method for the heat accumulating type electric heating load to participate in the operation of the power grid according to claim 3, wherein the power constraint of the wind power plant is as follows:
pwg,t≤pw,t (4)
in the formula, pw,tAnd predicting wind power for the wind power plant at the time t.
5. The optimal control method for the heat accumulating type electric heating load to participate in the operation of the power grid according to claim 4, wherein the power constraint of the thermal power generating unit is as follows:
pi,min＜pi,t≤pi,max (3)
wherein p isi,minAnd pi,maxThe power lower limit and the power upper limit of the ith thermal power generating unit are respectively.
6. The method as claimed in claim 5, wherein the power constraint of the regenerative electric heating system comprises:
the power consumption of the heat accumulating type electric heating is not more than the rated power of the heat accumulating type electric heating at a certain time, namely
0＜ph,t≤Ph (5)
In the formula, PhRated power for heat accumulating type electric heating;
the daily power consumption of the heat accumulating type electric heating is equal to the demand, i.e.
In the formula, QhThe daily electric quantity requirement of the heat accumulating type electric heating is met.
7. An optimal control device for a heat accumulating type electric heating load to participate in power grid operation is characterized by comprising the following processes:
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring running state parameter data in a wind power and heat accumulating type electric heating combined running mode, and the wind power and heat accumulating type electric heating combined running mode comprises a wind power plant, a thermal power generating unit and a power grid at a power supply side, and heat accumulating type electric heating loads and electric loads connected with the power supply side;
the optimization scheduling module is used for carrying out optimization solution on a pre-constructed wind power and heat accumulating type electric heating combined operation optimization model based on the acquired data to obtain real-time power scheduling data of a wind power plant, a thermal power generating unit and heat accumulating type electric heating;
the pre-constructed wind power and heat accumulating type electric heating combined operation optimization model takes the lowest total power generation cost as an optimization target and takes power balance constraint and power constraint of a wind power plant, a thermal power generating unit and heat accumulating type electric heating as constraint conditions.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method according to any one of claims 1 to 6 for optimally controlling the participation of regenerative electric heating loads in the operation of an electric power grid.
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