A multi-operation mode coordinated optimization method and device for distributed energy transmission through flexible straight lines

Abstract

The application discloses a distributed energy flexible direct current transmission multi-operation mode coordinated optimization method and device, and the method comprises the following steps: S1, constructing boundary conditions of an operation cycle of the distributed energy; S2, acquiring equivalent electric load values and equivalent thermal load values; S3, detecting whether there is an electric load peak at the beginning of the operation cycle, if not, executing step S4, and if yes, executing step S5; S4, controlling the distributed energy to operate with the minimum fuel consumption as the target based on the equivalent electric load values and the equivalent thermal load values; and S5, controlling the combined heat and power equipment to operate in full load in advance based on the user-side electric load gap cumulative value and the start charging time of the energy storage equipment, so that the installed capacity requirement of the combined heat and power equipment and the initial investment cost and operation cost of the distributed energy are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, and particularly relates to a multi-operation mode coordination optimization method and device for distributed energy through flexible direct current transmission. BACKGROUND

[0002] At present, different types of energy exist in power systems, such as wind energy, solar energy, water energy and the like. These energies are intermittent and volatile. Therefore, in the power system, it is a key problem to coordinate the operation of different source energies, optimize the matching of supply and demand, and reduce energy waste. Distributed energy technology can combine various energy technologies and coordinate through communication technology to realize the matching and optimization of power supply and demand. Distributed energy through flexible direct current transmission is an effective technical means to realize large-scale transmission of distributed energy under weak alternating current system conditions. However, due to the multiple demands of distributed energy for direct current transmission power, load-side electricity, cold and heat, the design of the installed capacity of the combined heat and power device in the distributed energy is too high, resulting in high initial investment and high operation cost of the distributed energy. Therefore, it is urgent to develop a multi-operation mode coordination optimization method for distributed energy through flexible direct current transmission considering the initial investment cost. SUMMARY

[0003] The present application provides a multi-operation mode coordination optimization method and device for distributed energy through flexible direct current transmission, which is used to reduce the requirement for the installed capacity of the combined heat and power device, the initial investment cost and the operation cost of the distributed energy.

[0004] Therefore, the first aspect of the present application provides a multi-operation mode coordination optimization method for distributed energy through flexible direct current transmission, comprising:

[0005] S1, constructing boundary conditions of an operation cycle of the distributed energy;

[0006] S2, obtaining equivalent electric load values and equivalent heat load values;

[0007] S3, at the beginning of the operation cycle, detecting whether there is an electric load peak, if not, executing step S4, and if yes, executing step S5;

[0008] S4, controlling the distributed energy to operate with the minimum fuel consumption as the target based on the equivalent electric load values and the equivalent heat load values;

[0009] S5, controlling the combined heat and power device to operate in advance at full load based on the user-side electric load gap cumulative value and the start charging time of the energy storage device.

[0010] Optionally, the distributed energy comprises a combined heat and power device, a photovoltaic module, a solar heat collector, an electric heat pump, an electric refrigerator and an energy storage device, and step S4 specifically comprises:

[0011] S40, constructing an electric-thermal power coordinate system with electric power generated by the cogeneration power plant as the horizontal coordinate and thermal power generated by the cogeneration power plant as the vertical coordinate;

[0012] S41, establishing an operation curve of the cogeneration power plant in the electric-thermal power coordinate system, one end point of the operation curve being a minimum working condition point of the cogeneration power plant and the other end point being a maximum working condition point of the cogeneration power plant;

[0013] S42, dividing an operation region in the electric-thermal power coordinate system based on the operation curve;

[0014] S43, determining an adjustment range of an equivalent load point according to a load state of the energy storage device, the horizontal coordinate value of the equivalent load point being the equivalent electric load value and the vertical coordinate value being the equivalent thermal load value;

[0015] S44, adjusting the position of the equivalent load point according to the adjustment range to obtain a new equivalent load point;

[0016] S45, determining an actual operation working condition point of the cogeneration power plant according to the position relationship between the new equivalent load point and the operation region in the electric-thermal power coordinate system, and obtaining electric power and thermal power generated by the cogeneration power plant.

[0017] Optionally, the step S42 specifically comprises:

[0018] taking the negative of the electric-thermal pump performance coefficient as the slope, taking the origin of the electric-thermal power coordinate system and the two end points of the operation curve as the starting points, and drawing a first auxiliary ray, a second auxiliary ray and a third auxiliary ray to the upper left of the starting points respectively; taking the origin of the electric-thermal power coordinate system and the two end points of the operation curve as the starting points, and drawing a fourth auxiliary ray, a fifth auxiliary ray and a sixth auxiliary ray to the lower right of the starting points respectively;

[0019] dividing the left side region of the first auxiliary ray and the fourth auxiliary ray into a first region;

[0020] dividing the region surrounded by the first auxiliary ray, the fourth auxiliary ray, the second auxiliary ray and the fifth auxiliary ray into a second region;

[0021] dividing the region surrounded by the second auxiliary ray, the operation curve and the third auxiliary ray into a third region;

[0022] dividing the region surrounded by the fifth auxiliary ray, the operation curve and the sixth auxiliary ray into a fourth region.

[0023] Optionally, the step S45 of determining the actual operation working condition point of the cogeneration power plant according to the position relationship between the new equivalent load point and the operation region in the electric-thermal power coordinate system comprises:

[0024] when the new equivalent load point is located in the first region, controlling the combined heat and power plant to be shut down;

[0025] when the new equivalent load point is located in the second region, controlling the combined heat and power plant to operate at the minimum working point;

[0026] when the new equivalent load point is located in the third region, drawing a first target straight line with the new equivalent load point as a starting point and with the negative number of the coefficient of performance of the electric heat pump as a slope, and controlling the combined heat and power plant to operate at the intersection of the first target straight line and the operation curve;

[0027] when the new equivalent load point is located in the fourth region, drawing a second target straight line with the new equivalent load point as a starting point and being perpendicular to the horizontal axis of the electric heat power coordinate system, and controlling the combined heat and power plant to operate at the intersection of the second target straight line and the operation curve.

[0028] Optionally, the step S43 specifically comprises:

[0029] acquiring the maximum discharging power P dis,ba and charging power P char,ba of the electric storage device in the preset time period under the current load state, and the maximum heat releasing power P dis,ht and heat storage power P char,ht of the hot water tank in the preset time period; dis,ba char,ba dis,ht char,ht

[0030] drawing a straight line perpendicular to the horizontal axis at a distance P dis,ba from the equivalent load point in the negative direction of the horizontal axis and at a distance P char,ba from the equivalent load point in the positive direction of the horizontal axis, and drawing a straight line perpendicular to the vertical axis at a distance P dis,ht from the equivalent load point in the negative direction of the vertical axis and at a distance P char,ht from the equivalent load point in the positive direction of the vertical axis, to obtain a rectangular region surrounded by the four straight lines, and to obtain the adjustment range of the equivalent load point.

[0031] Optionally, the step S44 specifically comprises:

[0032] based on the strategy of preferentially using the existing electric storage capacity and heat storage capacity in the energy storage device, adjusting the equivalent load point to the lower left corner point of the adjustment range to obtain a new equivalent load point.

[0033] Optionally, the step S5 specifically comprises:

[0034] determining the starting charging time n of the energy storage device based on the maximum power generation of the combined heat and power plant, the occurrence time j of the first load peak in the operation period, the charging efficiency of the electric storage battery, the discharging efficiency of the electric storage battery, and the accumulated value of the user-side electric load gap that still exists when the combined heat and power plant operates at the maximum electric power in the operation period;

[0035] if the current time τ is a load peak, or, the current time τ is greater than / equal to the start charging time n and less than / equal to the occurrence time j, the combined heat and power device is controlled to run at full load to obtain the electric power and the heat power produced by the combined heat and power device;

[0036] if the current time τ is less than the start charging time n, step S4 is executed;

[0037] if the current time τ is greater than the start charging time n and the user-side electric load gap cumulative value is less than the current battery capacity, step S4 is executed;

[0038] if the user-side electric load gap cumulative value is greater than / equal to the current battery capacity and the current battery storage capacity is less than the current battery capacity, the combined heat and power device is controlled to run at full load to obtain the electric power and the heat power produced by the combined heat and power device.

[0039] Optionally, step S1 specifically comprises:

[0040] obtaining the probability distribution function of the prediction error of the renewable energy output, the user-side cold load, the user-side heat load and the user-side electric load in the future preset time period according to the renewable energy output in the future preset time period and the prediction accuracy of the user-side cold load, the user-side heat load and the user-side electric load;

[0041] sampling the prediction probability error value of the renewable energy output, the user-side cold load, the user-side heat load and the user-side electric load in the future preset time period based on the probability distribution function of the prediction error of the renewable energy output, the user-side cold load, the user-side heat load and the user-side electric load in the future preset time period;

[0042] generating a scenario in combination with the prediction probability error value and the prediction value of the renewable energy output, the user-side cold load, the user-side heat load and the user-side electric load in the future preset time period, and constructing the boundary condition of the operation cycle in combination with the renewable energy output, the user-side cold load, the user-side heat load and the user-side electric load in the current time period.

[0043] Optionally, the detection of whether there is an electric load peak comprises:

[0044] determining whether the sum of the net electric load of the user side and the power consumption of the heat pump is greater than the maximum power generation of the combined heat and power device, if yes, it is determined that there is an electric load peak, and if no, it is determined that there is no electric load peak.

[0045] The second aspect of the application provides a distributed energy transmission and distribution multi-operation mode coordination optimization device, comprising:

[0046] a boundary condition construction unit configured to construct the boundary condition of the operation cycle of the distributed energy;

[0047] a data acquisition unit configured to acquire the equivalent electric load value and the equivalent heat load value;

[0048] a detection unit configured to detect whether there is an electric load peak at the beginning of the operation cycle, and if not, trigger the first operation unit, and if so, trigger the second operation unit;

[0049] the first operation unit configured to control the distributed energy source to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value;

[0050] the second operation unit configured to control the combined heat and power device to operate in advance at full load based on the user-side electric load gap cumulative value and the start charging time of the energy storage device.

[0051] From the above technical solutions, the present application has the following advantages:

[0052] The present application provides a multi-operation mode coordinated optimization method for a distributed energy source through a flexible direct current transmission, which comprises the following steps: S1, constructing the boundary conditions of the operation cycle of the distributed energy source; S2, obtaining the equivalent electric load value and the equivalent thermal load value; S3, detecting whether there is an electric load peak at the beginning of the operation cycle, and if not, executing step S4, and if so, executing step S5; S4, controlling the distributed energy source to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value; and S5, controlling the combined heat and power device to operate in advance at full load based on the user-side electric load gap cumulative value and the start charging time of the energy storage device.

[0053] In the present application, when there is no electric load peak in the operation cycle, the distributed energy source operates with the minimum fuel consumption as the target; when there is an electric load peak in the operation cycle, the distributed energy source controls the combined heat and power device to operate in advance at full load according to the key parameters such as the user-side load gap and the start charging time of the energy storage device, so as to store sufficient electric and thermal energy in advance to cope with the peak load. Therefore, the present application can reduce the installed capacity requirement of the combined heat and power device while taking into account the operation cost of the distributed energy source, and reduce the initial investment cost of the distributed energy source. BRIEF DESCRIPTION OF DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0055] Figure 1 A flowchart of a multi-operation mode coordinated optimization method for a distributed energy source through a flexible direct current transmission provided by the present application;

[0056] Figure 2A distributed energy system block diagram provided by an embodiment of the present application;

[0057] Figure 3 An electric heating power coordinate system and an operation region map provided by an embodiment of the present application;

[0058] Figure 4 An equivalent load point adjustment range map provided by an embodiment of the present application;

[0059] Figure 5 A structure schematic diagram of a distributed energy flexible direct current transmission multi-operation mode coordinated optimization device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0060] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0061] For the convenience of understanding, please refer to Figure 1 The embodiment of the present application provides a distributed energy flexible direct current transmission multi-operation mode coordinated optimization method, which comprises the following steps:

[0062] Step S1, constructing boundary conditions of an operation cycle of the distributed energy.

[0063] In the embodiment of the present application, the distributed energy comprises a combined heat and power unit (PGU), a photovoltaic module (PV), a solar collector (SC), an electric heat pump (EP), an electric chiller (EC) and an energy storage device, and the energy storage device comprises a battery (By) and a heat storage tank (HT). For reference, Figure 2 .

[0064] Before the present application is run, the operation cycle of the distributed energy can be set. After the current operation cycle is run, the next operation cycle is run in a cycle until the set cycle length is reached. Specifically, a long period can be set as a first operation cycle, and a short period can be set as a second operation cycle. After the current second operation cycle is run, the next second operation cycle is run in a cycle until the first operation cycle is run. It should be noted that the operation cycle described later is the second operation cycle.

[0065] After the operation cycle is determined, the boundary conditions of the operation cycle (i.e. the second operation cycle) are constructed. The specific process can be as follows:

[0066] According to the renewable energy output in the future preset time period and the prediction accuracy of the user-side cold, heat and electric load, a probability distribution function of the prediction error of the renewable energy output, the user-side cold, heat and electric load is obtained;

[0067] The prediction probability error value of the renewable energy output, the user-side cold, heat and electric load is sampled based on the probability distribution function of the prediction error of the renewable energy output, the user-side cold, heat and electric load;

[0068] The scene is generated by combining the prediction probability error value and the prediction value of the renewable energy output, the user-side cold, heat and electric load in the future preset time period, and the renewable energy output, the user-side cold, heat and electric load in the current time period, and the boundary condition of the operation cycle is constructed together.

[0069] In the embodiment of the application, the probability distribution function of the prediction error of the renewable energy output, the user-side cold, heat and electric load can be obtained by using the prior art, the prediction probability error value of the renewable energy output, the user-side cold, heat and electric load is sampled based on the probability distribution function of the prediction error of the renewable energy output, the user-side cold, heat and electric load, the scene is constructed by the sampled probability error value and the prediction value of the renewable energy output, the cold, heat and electric load, and the typical scene is obtained by clustering the renewable energy output, the user-side cold, heat and electric load in the current time period, and the boundary condition of the distributed energy operation is obtained.

[0070] The operation regulation of the distributed energy needs to consider the renewable energy output, the cold, heat and electric load in a future period for scheduling optimization, and the future period can be 24 hours, considering that the accuracy of the ultra-short-term prediction technology is high, the first 4 hours can be approximately considered as the current time period (i.e. known value), and the subsequent 20 hours are composed of the "probability error value + prediction value".

[0071] Further, different time scale prediction methods can be combined, for example, the ultra-short-term prediction, short-term prediction, day-ahead prediction and medium-term prediction technology are combined to respectively predict the renewable energy output, the user-side cold, heat and electric load in the future 30 minutes to 4 hours, 4 hours to 8 hours and 1 day to 4 days, and then the operation cycle of multi-time scale prediction is formed by combining the current time period.

[0072] Further, the renewable energy output, the user-side cold, heat and electric load in the future time period can be classified according to different seasons and weather, and then the sampling clustering is performed in different categories, and the buffer capacity value Buff of the energy storage system is introduced in different time periods. Correspondingly, when the step S43 in the step S4 is executed, P dis =(SoC-Buff)×η / 1hour, P char =(Ca-SoC) / η / 1hour.

[0073] Step S2, obtaining equivalent electric load value and equivalent thermal load value.

[0074] After the boundary conditions of the second operation cycle are constructed, the equivalent electric load E need and the equivalent thermal load Q need can be obtained. jrq The electric power E pv produced by the photovoltaic module and the thermal power Q jrq produced by the solar collector are used preferentially, and the coefficient of performance COP ec of the electric refrigerator is further considered. user The electric power consumed by the electric refrigerator to meet the cooling load C user of the user side is C ec / COP user . Therefore, the electric demand E user of the user side and the power P VSC-HVDC delivered by the flexible direct current system can be adjusted to a new equivalent electric load point E need =E user +P VSC-HVDC –E pv –C user / COP ec , and the thermal demand Q user of the user side can be adjusted to a new equivalent thermal load point Q need =Q user –Q jrq .

[0075] Step S3, detecting whether there is an electric load peak at the beginning of the operation cycle, if not, executing step S4, and if yes, executing step S5.

[0076] At the beginning of the operation cycle, whether there is an electric load peak is detected, specifically, whether the sum of the net electric load of the user side and the electric power consumed by the electric heat pump is greater than the maximum electric power generated by the combined heat and power device is judged, if not, it is determined that there is no electric load peak, and at this time, the distributed energy is controlled to operate according to the first operation method, that is, step S4 is executed, and if yes, it is determined that there is an electric load peak, and at this time, the distributed energy is controlled to operate according to the second operation method, that is, step S5 is executed.

[0077] Step S4, controlling the distributed energy to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value.

[0078] The specific process of controlling the distributed energy to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value includes:

[0079] Step S40, constructing an electric-thermal power coordinate system with the electric power generated by the combined heat and power device as the abscissa and the thermal power of the combined heat and power device as the ordinate.

[0080] Step S41: Establish the operating curve of the cogeneration power equipment in the electrothermal power coordinate system. One endpoint of the operating curve is the minimum operating point Q of the cogeneration power equipment. min The other endpoint is the maximum operating point of the cogeneration power equipment;

[0081] Step S42: Divide the operating region in the electrothermal power coordinate system based on the operating curve;

[0082] The coefficient of performance (COP) of electric heat pumps hp The negative value is the slope. Starting from the origin of the electrothermal power coordinate system and the two endpoints of the running curve, draw the first auxiliary ray, the second auxiliary ray, and the third auxiliary ray to the upper left respectively. Starting from the origin of the electrothermal power coordinate system and the two endpoints of the running curve, draw the fourth auxiliary ray, the fifth auxiliary ray, and the sixth auxiliary ray to the lower right of the horizontal axis perpendicular to the electrothermal power coordinate system.

[0083] The region to the left of the first auxiliary ray and the fourth auxiliary ray is designated as the first region;

[0084] The area enclosed by the first auxiliary ray, the fourth auxiliary ray, the second auxiliary ray, and the fifth auxiliary ray is designated as the second region.

[0085] The area enclosed by the second auxiliary ray, the running curve, and the third auxiliary ray is divided into the third region;

[0086] The region enclosed by the fifth auxiliary ray, the running curve, and the sixth auxiliary ray is designated as the fourth region. The divided region can be referenced... Figure 3 .

[0087] Step S43: Determine the adjustment range of the equivalent load point based on the load status of the energy storage device. The horizontal axis value of the equivalent load point is the equivalent electrical load value, and the vertical axis value is the equivalent thermal load value.

[0088] Obtain the maximum continuous energy release P of the energy storage device under the current load condition for a preset time period (which can be one hour). dis and the effective charging power P during the preset time period char Specifically, obtain the maximum discharge power P of the battery under the current load condition within a preset time period. dis,ba and charging power P char,ba And the maximum heat release power P of the hot water tank within the preset time period. dis,ht and thermal storage power P char,ht ;

[0089] With equivalent load point L0(E) need Q need Starting from point P, move at a distance P in the negative horizontal direction. dis,ba The distance P between the point and the positive direction of the horizontal axischar,ba A straight line perpendicular to the horizontal axis is drawn at the point where the equivalent load point is located, and the distance P from the equivalent load point to the negative direction of the vertical axis is obtained dis,ht A straight line perpendicular to the vertical axis is drawn at the point where the equivalent load point is located, and the distance P from the equivalent load point to the positive direction of the vertical axis is obtained char,ht A straight line perpendicular to the vertical axis is drawn at the point where the equivalent load point is located, and the distance P from the equivalent load point to the positive direction of the vertical axis is obtained Figure 4 , and the adjustment range of the equivalent load point is obtained.

[0090] P dis = SoC x η / 1 hour, P char = (Ca-SoC) / η / 1 hour, η is the energy charging and discharging efficiency, SoC is the current storage capacity of the energy storage device, and Ca is the maximum capacity of the energy storage device.

[0091] Step S44, adjusting the position of the equivalent load point according to the adjustment range to obtain a new equivalent load point;

[0092] Based on the strategy of preferentially using the existing electricity storage capacity and heat storage capacity in the energy storage device, the equivalent load point is adjusted to the lower left corner point of the adjustment range to obtain a new equivalent load point L(E adu , Q adu ).

[0093] Step S45, determining the actual operating condition point of the combined heat and power device according to the positional relationship between the new equivalent load point and the operating region in the electric-thermal power coordinate system to obtain the electric power and the thermal power produced by the combined heat and power device.

[0094] According to the positional relationship between the new equivalent load point and the operating region in the electric-thermal power coordinate system, the actual operating condition point of the combined heat and power device is determined, and the electric power E pgu and the thermal power Q pgu produced by the combined heat and power device are obtained. If there is still excess electricity and heat products after meeting the electricity and heat demand of the new equivalent load point L, they can be stored in the energy storage device until the energy storage device is full.

[0095] Wherein, the specific process of determining the actual operating condition point of the combined heat and power device according to the positional relationship between the new equivalent load point and the operating region in the electric-thermal power coordinate system is as follows:

[0096] When the new equivalent load point is located in the first region, the combined heat and power device is controlled to be shut down;

[0097] When the new equivalent load point is located in the second region, the combined heat and power device is controlled to operate at the minimum operating condition point, i.e. the left end point of the operating curve of the combined heat and power device;

[0098] When the new equivalent load point is located in the third region, a first target straight line with the negative number of the coefficient of performance of the electric heat pump as the slope is drawn based on the new equivalent load point, and the combined heat and power device is controlled to operate at the intersection of the first target straight line and the operation curve, and the intersection is the operating point of the combined heat and power device;

[0099] When the new equivalent load point is located in the fourth region, a second target straight line perpendicular to the horizontal axis of the electric heat power coordinate system is drawn based on the new equivalent load point, and the combined heat and power device is controlled to operate at the intersection of the second target straight line and the operation curve, and the intersection is the operating point of the combined heat and power device.

[0100] Step S5, based on the user-side electric load gap cumulative value and the start charging time of the energy storage device, the combined heat and power device is controlled to operate in advance at full load.

[0101] Firstly, based on the maximum electric power E chp,max of the combined heat and power device, the appearance time j of the first load peak in the operation period, the battery charging efficiency η bat,char , the battery discharging efficiency η bat,dis and the user-side electric load gap cumulative value E lack,period still existing when the combined heat and power device operates at the maximum electric power in the operation period, the start charging time n of the energy storage device is determined.

[0102] The start charging time n of the energy storage device is such that is established, and the start charging time n of the energy storage device is determined.

[0103] Secondly, the operating condition of the combined heat and power device in the operation period is determined according to different situations, the electric power E pgu and the heat power Q pgu produced by the combined heat and power device are obtained, and the storage state of the energy storage device is updated.

[0104] The current battery capacity is C ba , the current storage capacity of the battery is SOC ba , and the specific process of determining the operating condition of the combined heat and power device in the operation period according to different situations is as follows:

[0105] If the current time τ is a load peak, or the current time τ is greater than / equal to the start charging time n and less than / equal to the appearance time j (i.e. n≤τ≤j), the combined heat and power device is controlled to operate at full load;

[0106] If the current time τ is less than the start charging time n, step S4 is executed, and the operating condition of the combined heat and power device is determined according to the first operation method;

[0107] If the current time τ is greater than the start charging time n, and the user-side electric load gap cumulative value is less than the current battery capacity (i.e., E lack,period <C ba ), step S4 is executed, and the operating condition of the combined heat and power device is determined according to the first operating method;

[0108] If the user-side electric load gap cumulative value is greater than / equal to the current battery capacity, and the current storage capacity of the battery is less than the current battery capacity (i.e., E lack,period ≥C ba , and SOC ba <C ba ), the control control is controlled to run at full load.

[0109] In the embodiment of the application, when there is no electric load peak in the operating period, the distributed energy is operated with the minimum fuel consumption as the target; when there is an electric load peak in the operating period, the distributed energy controls the combined heat and power device to run at full load in advance according to the calculation of the user-side load gap, the start charging time of the energy storage device and other key parameters, so as to store sufficient electric and thermal energy in advance to cope with the peak load. Therefore, the application can reduce the installed capacity requirement of the combined heat and power device while considering the operating cost of the distributed energy, and reduce the initial investment cost of the distributed energy.

[0110] The above is an embodiment of the distributed energy multi-operation mode coordinated optimization method provided by the application, and the following is an embodiment of the distributed energy multi-operation mode coordinated optimization device provided by the application.

[0111] Please refer to Figure 5 , the distributed energy multi-operation mode coordinated optimization device provided by the embodiment of the application comprises:

[0112] A boundary condition construction unit is configured to construct the boundary condition of the operating period of the distributed energy.

[0113] A data acquisition unit is configured to acquire the equivalent electric load value and the equivalent thermal load value.

[0114] A detection unit is configured to detect whether there is an electric load peak at the start of the operating period, and if not, trigger the first operating unit, and if so, trigger the second operating unit.

[0115] The first operating unit is configured to control the distributed energy to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value.

[0116] The second operating unit is configured to control the combined heat and power device to run at full load in advance based on the user-side electric load gap cumulative value and the start charging time of the energy storage device.

[0117] In the embodiments of the application, when there is no electric load peak in the operation period, the distributed energy is operated with the minimum fuel consumption as the target; when there is an electric load peak in the operation period, the distributed energy controls the combined heat and power device to run at full load in advance according to the calculation of the user side load gap, the start charging time of the energy storage device and other key parameters, so as to store enough electric and thermal energy in advance to cope with the peak load. Therefore, the application can reduce the installed capacity requirement of the combined heat and power device while considering the operation cost of the distributed energy, and reduce the initial investment cost of the distributed energy.

[0118] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0119] The terms "first", "second", "third", "fourth" and the like (if any) in the specification and above-described drawings of the application are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0120] It should be understood that in the present application, "at least one" means one or more, and "multiple" means two or more. "And / or" is used to describe the association between the associated objects, which means that there can be three relationships, for example, "A and / or B" can represent three cases: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0121] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented by other manners. For example, the apparatus embodiments described above are merely illustrative, for example, the division of the units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or components shown or discussed can be indirect coupling or communication connection through some interfaces, apparatuses or units, and can be electrical, mechanical or other forms.

[0122] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0123] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0124] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art that makes a contribution or the whole or part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium and includes a plurality of instructions for executing all or part of the steps of the method described in each embodiment of the present application by a computer device (which can be a personal computer, a server, or a network device, etc.). The foregoing storage medium includes a U disk, a mobile hard disk, a read-only memory (English full name: Read-Only Memory, English abbreviation: ROM), a random access memory (English full name: Random Access Memory, English abbreviation: RAM), a magnetic disk or an optical disk, and various program code storage media.

[0125] The above-described embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for multi-operation mode coordinated optimization of distributed energy sources through flexible transmission, characterized in that, The method comprises the following steps: S1, constructing boundary conditions of an operation cycle of a distributed energy source; S2, obtaining an equivalent electric load value and an equivalent thermal load value; S3, detecting whether there is an electric load peak at the beginning of the operation cycle, if not, executing step S4, if yes, executing step S5; S4, controlling the distributed energy source to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value; The distributed energy source comprises a combined heat and power device, a photovoltaic module, a solar collector, an electric heat pump, an electric refrigerator and an energy storage device, and step S4 specifically comprises the following steps: S40, constructing an electric-thermal power coordinate system with the electric power generated by the combined heat and power device as the horizontal coordinate and the thermal power of the combined heat and power device as the vertical coordinate; S41, establishing an operation curve of the combined heat and power device in the electric-thermal power coordinate system, one end point of the operation curve being a minimum working condition point of the combined heat and power device and the other end point being a maximum working condition point of the combined heat and power device; S42, dividing an operation area in the electric-thermal power coordinate system based on the operation curve; S43, determining an adjustment range of an equivalent load point according to the load state of the energy storage device, the horizontal coordinate value of the equivalent load point being the equivalent electric load value and the vertical coordinate value being the equivalent thermal load value; S44, adjusting the position of the equivalent load point according to the adjustment range to obtain a new equivalent load point; S45, determining an actual operation working condition point of the combined heat and power device according to the position relationship between the new equivalent load point and the operation area in the electric-thermal power coordinate system to obtain the electric power and the thermal power generated by the combined heat and power device; S5, controlling the combined heat and power device to operate at full load in advance based on the user-side electric load gap cumulative value and the start charging time of the energy storage device.

2. The distributed energy source through flexible direct sending multi-operation mode coordinated optimization method according to claim 1, characterized in that, Step S42 specifically comprises the following steps: taking the negative of the coefficient of performance of the electric heat pump as the slope, taking the origin of the electric-thermal power coordinate system and the two end points of the operation curve as the starting points, and drawing a first auxiliary ray, a second auxiliary ray and a third auxiliary ray to the upper left of the starting points respectively; taking the origin of the electric-thermal power coordinate system and the two end points of the operation curve as the starting points, and drawing a fourth auxiliary ray, a fifth auxiliary ray and a sixth auxiliary ray to the lower right of the starting points respectively; dividing the left side area of the first auxiliary ray and the fourth auxiliary ray into a first area; dividing the area surrounded by the first auxiliary ray, the fourth auxiliary ray, the second auxiliary ray and the fifth auxiliary ray into a second area; dividing the area surrounded by the second auxiliary ray, the operation curve and the third auxiliary ray into a third area; dividing the area surrounded by the fifth auxiliary ray, the operation curve and the sixth auxiliary ray into a fourth area. 3.The multi-operation mode coordinated optimization method for distributed energy resources sending out through flexible transmission according to claim 2, characterized in that, The step of determining the actual operation working condition point of the combined heat and power device according to the position relationship between the new equivalent load point and the operation area in the electric-thermal power coordinate system comprises the following steps: when the new equivalent load point is located in the first area, controlling the combined heat and power device to stop; when the new equivalent load point is located in the second area, controlling the combined heat and power device to operate at the minimum working condition point; When the new equivalent load point is located in the third region, a first target straight line with a negative number of the coefficient of performance of the electric heat pump as a slope is drawn at the new equivalent load point, and the combined heat and power device is controlled to operate at an intersection of the first target straight line and the operation curve; When the new equivalent load point is located in the fourth region, a second target straight line perpendicular to the horizontal axis of the electric heat power coordinate system is drawn at the new equivalent load point, and the combined heat and power device is controlled to operate at an intersection of the second target straight line and the operation curve.

4. The method of claim 1, wherein the method further comprises: The step S43 specifically comprises: acquire the maximum discharging power P of the storage battery in the preset time period under the current load state dis,ba and the charging power P char,ba , and the maximum heat releasing power P of the hot water tank in the preset time period dis,ht and the heat storage power P char,ht ; With the equivalent load point as the starting point, respectively, to the horizontal axis negative direction distance P dis,ba And the horizontal axis positive direction distance P char,ba Make a vertical to the horizontal axis straight line; with the equivalent load point as the starting point, respectively, to the vertical axis negative direction distance P dis,ht And the vertical axis positive direction distance P char,ht Make a vertical to the vertical axis straight line, get the four straight lines enclose the rectangular area, get the equivalent load point adjustment range.

5. The method of claim 1, wherein, The step S44 specifically comprises: Based on a strategy of preferentially using existing power storage and heat storage in the energy storage device, the equivalent load point is adjusted to a lower left corner point of the adjustment range to obtain a new equivalent load point.

6. The distributed energy resource flexible multi-operation mode coordinated optimization method according to claim 1, wherein, The step S5 specifically comprises: Based on the maximum power generation of the combined heat and power device, the occurrence time j of the first load peak in the operation period, the charging efficiency of the battery, the discharging efficiency of the battery, and the accumulated value of the user-side electric load gap when the combined heat and power device operates at the maximum electric power in the operation period, the start charging time n of the energy storage device is determined; If the current time τ is a load peak, or the current time τ is greater than / equal to the start charging time n and less than / equal to the occurrence time j, the combined heat and power device is controlled to operate at full load to obtain the electric power and the heat power generated by the combined heat and power device; If the current time τ is less than the start charging time n, the step S4 is executed; If the current time τ is greater than the start charging time n and the accumulated value of the user-side electric load gap is less than the current battery capacity, the step S4 is executed; If the accumulated value of the user-side electric load gap is greater than / equal to the current battery capacity and the current power storage of the battery is less than the current battery capacity, the combined heat and power device is controlled to operate at full load to obtain the electric power and the heat power generated by the combined heat and power device.

7. The method of claim 1, wherein the method further comprises: The step S1 specifically comprises: According to the renewable energy output in the future preset time period and the prediction accuracy of the user-side cold, heat and electric load, the probability distribution function of the prediction error of the renewable energy output, the user-side cold, heat and electric load in the future preset time period is obtained; Based on the probability distribution function of the prediction error of the renewable energy output, the user-side cold, heat and electric load in the future preset time period, the prediction probability error value of the renewable energy output, the user-side cold, heat and electric load in the future preset time period is sampled; The scene is generated in combination with the prediction probability error value and the prediction value of the renewable energy output, the user-side cold, heat and electric load in the future preset time period, and the renewable energy output, the user-side cold, heat and electric load in the current time period to jointly construct the boundary condition of the operation period.

8. The method of claim 1, wherein the method further comprises: The detection of whether there is an electric load peak comprises: It is judged whether the sum of the net electric load of the user side and the power consumption of the electric heat pump is greater than the maximum power generation of the combined heat and power device, if yes, it is determined that there is an electric load peak, if not, it is determined that there is no electric load peak.

9. A device for coordinating and optimizing multiple operation modes of distributed energy through flexible direct transmission, characterized in that, It comprises: A boundary condition construction unit is configured to construct the boundary condition of the operation period of the distributed energy; A data acquisition unit is configured to acquire an equivalent electric load value and an equivalent heat load value; The detection unit is configured to detect whether there is an electric load peak at the beginning of the operation cycle, and if not, trigger the first operation unit, and if so, trigger the second operation unit; The first operation unit is configured to control the distributed energy source to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value; The distributed energy source includes a combined heat and power device, a photovoltaic module, a solar collector, an electric heat pump, an electric refrigerator, and an energy storage device, and the control of the distributed energy source to operate with the minimum fuel consumption as the target based on the equivalent electric load value and the equivalent thermal load value specifically includes: An electric-thermal power coordinate system is constructed with the electric power generated by the combined heat and power device as the abscissa and the thermal power of the combined heat and power device as the ordinate; An operation curve of the combined heat and power device is established in the electric-thermal power coordinate system, one end point of the operation curve is a minimum working condition point of the combined heat and power device, and the other end point is a maximum working condition point of the combined heat and power device; An operation region is divided in the electric-thermal power coordinate system based on the operation curve; An adjustment range of the equivalent load point is determined according to the load state of the energy storage device, the abscissa value of the equivalent load point is the equivalent electric load value, and the ordinate value is the equivalent thermal load value; The position of the equivalent load point is adjusted according to the adjustment range to obtain a new equivalent load point; An actual operation working condition point of the combined heat and power device is determined according to the position relationship between the new equivalent load point and the operation region in the electric-thermal power coordinate system, and the electric power and the thermal power generated by the combined heat and power device are obtained; The second operation unit is configured to control the combined heat and power device to operate in advance at full load based on the user-side electric load gap cumulative value and the start charging time of the energy storage device.

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