CN111210090B - Micro-grid economic dispatching method - Google Patents

Micro-grid economic dispatching method Download PDF

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CN111210090B
CN111210090B CN202010111101.1A CN202010111101A CN111210090B CN 111210090 B CN111210090 B CN 111210090B CN 202010111101 A CN202010111101 A CN 202010111101A CN 111210090 B CN111210090 B CN 111210090B
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CN111210090A (en
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刘军
李蒙龙
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Shenzhen Tianshun Wisdom Energy Technology Co ltd
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Abstract

The invention discloses a micro-grid economic dispatching method, which comprises the steps of establishing constraint conditions and objective functions; determining a sub-problem for obtaining an optimal solution of the objective function, and determining a scheduling strategy according to the sub-problem; acquiring actual power distribution, and correcting a scheduling strategy according to the actual power distribution to acquire an optimal scheduling structure; verifying the correctness of the optimal scheduling structure; and obtaining an optimal solution of the objective function according to the optimal scheduling structure and performing micro-grid scheduling. According to the micro-grid economic dispatching method, through considering each situation of obtaining the optimal solution of the objective function, based on a greedy algorithm, sequential selection is made by adopting a top-down iteration method, the solved problem is simplified into a sub-problem with smaller scale to obtain the optimal solution of the problem, the operation efficiency is high, and the dispatching result is globally optimal.

Description

Micro-grid economic dispatching method
Technical Field
The invention relates to the technical field of micro-grids, in particular to an economic dispatching method for a micro-grid.
Background
With the development of science, technology and economic level, industrialized development systems relying on energy sources are gradually established in a plurality of countries in the world. This energy consumption-based economic growth model has rapidly prompted global development, while also severely consuming primary energy reserves. The global energy crisis and environmental problems are prominent, and micro-grid systems using new energy and renewable energy as main power generation forms are promoted to be widely focused by research institutions of various countries.
The energy optimization management belongs to an important part of micro-grid coordinated operation control, algorithms used by a traditional energy scheduling model are mostly intelligent algorithms such as genetic algorithms, PSO algorithms and the like, the intelligent algorithms have the advantages that the general purpose is strong, approximate global optimal solutions can be effectively found out, especially when large-scale data are processed, the intelligent algorithms are more effective, but the intelligent algorithms cannot be prevented from sinking into local optimal solutions with a certain probability, so that the obtained scheduling instructions are often not global optimal, unnecessary loss is generated, and when the data quantity is large enough or the problem is complex, the operation efficiency is low.
In view of this, it is necessary to provide an economic dispatching method for micro-grids, which can solve the above-mentioned drawbacks and has high operation efficiency and globally optimal dispatching results.
Disclosure of Invention
The technical problem to be solved by the invention is to provide the economic dispatching method for the micro-grid, which has high operation efficiency and the dispatching result is globally optimal.
In order to solve the technical problems, the invention adopts the following technical scheme: a micro-grid economic dispatch method comprising: establishing constraint conditions and objective functions; determining a sub-problem for obtaining an optimal solution of the objective function, and determining a scheduling strategy according to the sub-problem; acquiring actual power distribution, and correcting a scheduling strategy according to the actual power distribution to acquire an optimal scheduling structure; verifying the correctness of the optimal scheduling structure; and obtaining an optimal solution of the objective function according to the optimal scheduling structure and performing micro-grid scheduling.
The further technical scheme is as follows: the step of establishing constraint conditions and objective functions specifically comprises the following steps: establishing a mains power constraint condition, an energy storage constraint condition, a renewable energy constraint condition and a micro-grid power balance constraint condition; dividing a single period into a plurality of time periods equally, and establishing an objective function by using the following calculation formula:
wherein F represents the total running cost of the micro-grid, N represents the total number of time periods, t represents the serial number of the time periods, P_wt (t) represents the wind power generation power of the time period, C_wt represents the wind power generation cost, P_pv (t) represents the photovoltaic power generation power of the time period, C_pv represents the photovoltaic power generation cost, P_grid (t) represents the commercial power of the time period, and C_grid (t) represents the commercial power cost of the time period.
The further technical scheme is as follows: the microgrid power balance constraint is represented by the following expression:
P_wt(t)+P_pv(t)+P_grid(t)＝P_store(t)+P_load(t)
where t represents the number of the time period, p_wt (t) represents the wind power generation power of the time period, p_pv (t) represents the photovoltaic power generation power of the time period, p_grid (t) represents the utility power of the time period, p_store (t) represents the charge energy storage charge power of the time period, and p_load (t) represents the power consumption load power of the time period.
The further technical scheme is as follows: the step of determining the sub-problem for obtaining the optimal solution of the objective function and determining the scheduling policy according to the sub-problem specifically comprises the following steps: determining the time-of-use electricity price as a sub-problem for obtaining an optimal solution of the objective function; and acquiring a section of the time-of-use electricity price, and acquiring a power supply priority and an energy storage charging and discharging strategy of the corresponding section according to the electricity price cost, the renewable energy power generation cost and the energy storage cost of each section.
The further technical scheme is as follows: the specific steps of acquiring the actual power distribution and correcting the dispatching strategy according to the actual power distribution, and acquiring the optimal dispatching structure are as follows: and calculating actual power data of each section according to a scheduling strategy, acquiring actual power distribution of each section, and analyzing and judging according to the power distribution of each section by combining constraint conditions to correct the scheduling strategy so as to acquire an optimal scheduling structure.
The further technical scheme is as follows: the step of acquiring the power supply priority and the energy storage charging and discharging strategy of the corresponding section according to the power price cost, the renewable energy power generation cost and the energy storage cost of each section in the section for acquiring the time-of-use power price comprises the following steps: the method comprises the steps of obtaining a time-of-use electricity price interval and corresponding electricity price cost, wherein three time-of-use electricity price intervals are respectively a first interval, a second interval and a third interval, and correspondingly, the electricity price cost is respectively a first electricity price, a second electricity price and a third electricity price, and the first electricity price, the second electricity price and the third electricity price are sequentially increased; acquiring power supply priority of each interval according to electricity price cost, renewable energy power generation cost and energy storage cost of each interval, wherein the renewable energy power generation cost comprises wind power generation cost and photovoltaic power generation cost; and acquiring an energy storage charging and discharging strategy according to the power supply priority of each interval.
The further technical scheme is as follows: the energy storage cost is less than first power price, wind power generation cost is greater than first power price and less than photovoltaic power generation cost, the second power price is greater than wind power generation cost and less than photovoltaic power generation cost, the third power price is greater than photovoltaic power generation cost, the power supply priority of obtaining first interval is commercial power, energy storage, wind power generation and photovoltaic power generation in proper order, the power supply priority of second interval is wind power generation, commercial power, energy storage and photovoltaic power generation in proper order, the power supply priority of third interval is wind power generation, photovoltaic power generation, energy storage and commercial power in proper order, according to the power supply priority of each interval, the step of obtaining energy storage charge-discharge strategy is: and determining an energy storage charging and discharging strategy to charge the first section, the second section and the third section according to the power supply priority of each section.
The further technical scheme is as follows: the step of obtaining the actual power distribution and correcting the dispatching strategy according to the actual power distribution, and obtaining the optimal dispatching structure specifically comprises the following steps: when the power which is required to be stored and supplemented after forced discharge in the second interval and power supply in the third interval is only supplied by wind power generation and photovoltaic power generation is charged by using the commercial power in the first interval, redundant commercial power is stored and charged when the commercial power purchased in the first interval is higher than the power of the electric load, and the power is not charged in the second interval; when the power which is required to be stored and supplemented after the forced discharge in the second interval and the power which is required to be stored and supplemented after the power supply by wind power generation and photovoltaic power generation in the third interval can be met by using the commercial power and the wind power generation charge in the first interval, the redundant charge power is stored and charged when the power of the electric load in the first interval is smaller than the commercial power purchase power or the sum of the commercial power purchase power and the wind power generation power, and the second interval is not charged; when the power for forced discharge in the second interval and the power for energy storage and supplement required after the power supply by wind power generation and photovoltaic power generation in the third interval cannot be met by the commercial power and the wind power generation charge in the first interval, the redundant charge power is stored and charged when the power for electric load in the first interval is smaller than the commercial power purchase power or the sum of the commercial power purchase power and the wind power generation power, and the redundant charge power is stored and charged when the power for electric load in the second interval is smaller than the wind power generation power or the sum of the wind power generation power and the commercial power purchase power; and discharging when the power of the electric load in the third interval is larger than the sum of the wind power generation power and the photovoltaic power generation power.
The further technical scheme is as follows: the step of discharging when the power of the electric load in the third interval is larger than the sum of the wind power generation power and the photovoltaic power generation power specifically comprises the following steps: acquiring charging energy storage charge power before a third interval, and judging the magnitude relation between the charging energy storage charge power and power which is only supplied by wind power generation and photovoltaic power generation and is required to be supplemented by energy storage after the power is supplied in the third interval; when the charging energy storage charge power is not more than the power which is only supplied by wind power generation and photovoltaic power generation and is required to be supplemented by energy storage, the charging energy storage charge power is discharged in the third interval; when the charging energy storage charge power is larger than the power required for energy storage and supplement after power supply by wind power generation and photovoltaic power generation in the third interval, discharging the charging energy storage charge power in the third interval by the power required for energy storage and supplement after power supply by wind power generation and photovoltaic power generation in the third interval, judging whether the charging energy storage charge power is redundant charge power for energy storage and charge during the charging of the first interval mains supply, and if yes, selling the charge power remained after discharging in the third interval; and if not, sequentially carrying out revocation adjustment on the charging conditions of the second interval and the first interval in the energy storage charging and discharging strategy.
The further technical scheme is as follows: the specific steps of obtaining the optimal solution of the objective function and carrying out micro-grid dispatching according to the optimal dispatching structure are as follows: according to the optimal scheduling structure, acquiring a time period corresponding to the charge energy storage scheduling condition in the optimal scheduling structure, combining the electricity price cost, the renewable energy power generation cost and the energy storage cost of a time-of-use electricity price interval corresponding to each time period, acquiring an optimal solution of the objective function according to the objective function, and carrying out micro-grid scheduling according to the charge energy storage scheduling condition in the optimal scheduling structure.
The beneficial technical effects of the invention are as follows: according to the micro-grid economic dispatching method, through considering each situation of obtaining the optimal solution of the objective function, based on a greedy algorithm, sequential selection is made by adopting a top-down iteration method, the solved problem is reduced to a sub-problem with smaller scale to obtain the optimal solution of the problem, a dispatching strategy is determined, and then the dispatching strategy is corrected by combining with actual power distribution, so that an optimal dispatching structure is obtained, the operation efficiency is high, and the dispatching result is globally optimal.
Drawings
FIG. 1 is a schematic flow chart of the micro-grid economic dispatch method of the present invention;
FIG. 2 is a schematic sub-flow diagram of the micro-grid economic dispatch method of the present invention;
FIG. 3 is a flow chart of an embodiment of the economic dispatch method of the micro grid of the present invention;
fig. 4 is a schematic sub-flowchart of a method for determining an energy storage charging and discharging strategy of the micro-grid economic dispatch method shown in fig. 3.
Detailed Description
The present invention will be further described with reference to the drawings and examples below in order to more clearly understand the objects, technical solutions and advantages of the present invention to those skilled in the art.
Referring to fig. 1, in the present embodiment, the micro grid economic dispatch method includes the steps of:
step S110, establishing constraint conditions and objective functions.
Referring to fig. 2, specifically, the step S110 includes the steps of:
and step S111, establishing a mains power constraint condition, an energy storage constraint condition, a renewable energy constraint condition and a micro-grid power balance constraint condition.
Specifically, the utility power constraint condition can be represented by expression (1):
P_grid_min＜P_grid(t)＜P_grid_max (1)
in the formula, p_grid_min and p_grid_max respectively represent a minimum power value and a maximum power value of commercial power purchased by the micro-grid, and p_grid (t) represents commercial power purchased in a t period. When p_grid (t) represents the purchased commercial power, p_grid_in (t) may be used, and when p_grid (t) represents the sold commercial power, p_grid_out (t) may be used, expression (1) may be represented by expression (2):
in the formula, p_grid_in_min and p_grid_in_max respectively represent a minimum power value and a maximum power value of the micro-grid purchased commercial power, p_grid_in (t) represents the purchased commercial power in the t time period, p_grid_out_min and p_grid_out_max respectively represent a minimum power value and a maximum power value of the micro-grid sold commercial power, and p_grid_out (t) represents the sold commercial power in the t time period.
The energy storage constraint conditions comprise energy storage charge-discharge depth constraint conditions and energy storage charge state constraint conditions, the energy storage charge-discharge depth constraint conditions comprise that actual charge energy storage charge power is required to be within the upper limit and the lower limit of preset charge energy storage power, and the energy storage constraint conditions can be represented by the expression (3):
P_store_min＜P_store(t)＜P_store_max (3)
wherein, p_store_min and p_store_max respectively represent a preset minimum power value and a preset maximum power value of the charging energy storage, and p_store (t) represents the charging energy storage charging power in the t time period.
The stored energy state of charge constraint condition includes that the initial state and the end state of the stored energy state of charge in a single period are consistent, and can be expressed by expression (4):
soc(t＝0)＝soc(t＝N) (4)
where t represents the sequence number of the time period, N represents the total number of the time period, soc (t=0) represents the initial state of the stored energy state of charge, and soc (t=n) represents the end state of the stored energy state of charge.
Preferably, the energy storage state of charge constraint condition further includes that the change of the energy storage state of charge is required to be within a preset upper and lower limit range of the energy storage state of charge, and the energy storage state of charge can be represented by expression (5):
soc_min＜soc(t)+Δsoc＜soc_max (5)
wherein t represents the sequence number of the time period, soc (t) represents the energy storage charge state of the time period t, deltasoc represents the energy storage charge change, and soc_min and soc_max represent the preset minimum and maximum values of the energy storage charge state.
The renewable energy constraint condition comprises that the generation power requirement of the renewable energy source is smaller than a preset generation power threshold, wherein the renewable energy source comprises wind energy and light energy, and the renewable energy source can be represented by the expression (6):
wherein t represents the sequence number of the time period, P_wt (t) represents the wind power generation power of the time period t, P_wt represents the preset wind power generation power threshold value, P_pv (t) represents the photovoltaic power generation power of the time period t, and P_pv represents the preset photovoltaic power generation power threshold value.
The micro-grid power balance constraint condition is that the sum of wind power generation power, photovoltaic power generation power and mains power is equal to the sum of charging energy storage charge power and electricity utilization load power, and the energy storage charge power and electricity utilization load power can be represented by an expression (7):
P_wt(t)+P_pv(t)+P_grid(t)＝P_store(t)+P_load(t) (7)
wherein t represents the serial number of the time period, P_wt (t) represents the wind power generation power of the time period, P_pv (t) represents the photovoltaic power generation power of the time period, P_grid (t) represents the mains power of the time period, P_store (t) represents the charging energy storage charging power of the time period, and P_load (t) represents the electricity load power of the time period, wherein the mains power comprises the purchase of the mains power and the sale of the mains power.
Step S112, dividing a single period into a plurality of time periods, and establishing an objective function by using the following calculation formula (8):
wherein F represents the total running cost of the micro-grid, N represents the total number of time periods, t represents the serial number of the time periods, P_wt (t) represents the wind power generation power of the time period, C_wt represents the wind power generation cost, P_pv (t) represents the photovoltaic power generation power of the time period, C_pv represents the photovoltaic power generation cost, P_grid (t) represents the commercial power of the time period, and C_grid (t) represents the commercial power cost of the time period. The utility cost is divided into a purchase utility cost and a sale utility cost, and may be represented by c_grid_in (t) and c_grid_out (t), which correspond to the purchase utility power p_grid_in (t) and the sale utility power p_grid_out (t) of the utility power p_grid (t), respectively. Specifically, in this embodiment, the single period is one day, and the total number N of time periods is 96, so that each 15 minutes is a time period, and each whole hour includes four time periods. Of course, in other embodiments, the time period of the single cycle may be multiple.
Step S120, determining a sub-problem for obtaining an optimal solution of the objective function, and determining a scheduling strategy according to the sub-problem. The objective function is the total cost of the micro-grid operation, the optimal solution of the objective function is the minimum value of the total cost of the micro-grid operation, a scheduling strategy is formulated by determining the sub-problem of the optimal solution of the objective function to obtain a local optimal solution of the sub-problem, and the optimal solution of the objective function is synthesized by utilizing the local optimal solution of the sub-problem, so that the obtained optimal solution of the objective function comprises the optimal solution of the sub-problem.
Specifically, referring to fig. 3, in this embodiment, the step S120 may specifically be:
step S121, determining the time-of-use electricity price as a sub-problem for obtaining an optimal solution of the objective function.
Step S122, obtaining intervals of time-of-use electricity prices, and obtaining power supply priority and energy storage charging and discharging strategies of the corresponding intervals according to electricity price cost, renewable energy power generation cost and energy storage cost of each interval.
Specifically, referring to fig. 4, in this embodiment, the step S122 may specifically be:
step S1221, obtaining a time-of-use electricity price section and corresponding electricity price costs, wherein the time-of-use electricity price section is three, namely a first section, a second section and a third section, and the electricity price costs are respectively a first electricity price, a second electricity price and a third electricity price, and the first electricity price, the second electricity price and the third electricity price are sequentially increased. Of course, in other embodiments, there may be multiple intervals of the time-of-use electricity price.
Preferably, the first interval, the second interval and the third interval may have different durations, and the first interval, the second interval and the third interval may have 0 point to 7 point, 7 point to 18 point and 18 point to 24 point respectively, and the durations thereof may be 7 hours, 11 hours and 6 hours respectively. Correspondingly, the first interval has 28 time periods with corresponding serial numbers of 1-28, the second interval has 44 time periods with corresponding serial numbers of 29-72, and the third interval has 24 time periods with corresponding serial numbers of 73-96. The electricity price cost is the commercial power cost, including the purchase commercial power cost and the sale commercial power cost, the sale commercial power cost is lower than the purchase commercial power cost. The selling utility cost of the first power price may be 0.22 yuan/kilowatt-hour, the purchasing utility cost of the first power price may be 0.25 yuan/kilowatt-hour, the selling utility cost of the second power price may be 0.42 yuan/kilowatt-hour, the purchasing utility cost of the second power price may be 0.53 yuan/kilowatt-hour, the selling utility cost of the third power price may be 0.65 yuan/kilowatt-hour, and the purchasing utility cost of the third power price may be 0.82/kilowatt-hour.
Step S1222, obtaining the power supply priority of the corresponding section according to the electricity price cost, the renewable energy power generation cost and the energy storage cost of each section, wherein the renewable energy power generation cost comprises the wind power generation cost and the photovoltaic power generation cost.
Step S1223, according to the power supply priority of each interval, acquiring an energy storage charging and discharging strategy.
Preferably, the energy storage cost is smaller than the first electricity price, the wind power generation cost is larger than the first electricity price and smaller than the photovoltaic power generation cost, the second electricity price is larger than the wind power generation cost and smaller than the photovoltaic power generation cost, and the third electricity price is larger than the photovoltaic power generation cost. Specifically, the energy storage cost may be 0.2 yuan/kilowatt-hour, the wind power generation cost is 0.52 yuan/kilowatt-hour, and the photovoltaic power generation cost is 0.75 yuan/kilowatt-hour, so that the energy storage cost is smaller than the commercial power purchasing cost of the first electricity price, the commercial power purchasing cost of the second electricity price is larger than the wind power generation cost and smaller than the photovoltaic power generation cost, and the commercial power purchasing cost of the third electricity price is larger than the photovoltaic power generation cost. The utility power cost, the photovoltaic power generation cost and the energy storage cost are combined according to the purchase utility power cost of the power price cost of each section, the power supply priority of the first section can be obtained to be the utility power, the energy storage, the wind power generation and the photovoltaic power generation in sequence, the power supply priority of the second section is the wind power generation, the utility power, the energy storage and the photovoltaic power generation in sequence, and the power supply priority of the third section is the wind power generation, the photovoltaic power generation, the energy storage and the utility power in sequence. The step S1223 is: and determining an energy storage charging and discharging strategy to charge the first section, the second section and the third section according to the power supply priority of each section.
And step S130, acquiring actual power distribution, and correcting a scheduling strategy according to the actual power distribution to acquire an optimal scheduling structure. The optimal scheduling structure is a charging energy storage scheduling condition of each interval when the total running cost is the lowest, so as to represent charging energy storage distribution of each time period of each interval. The scheduling strategy is adjusted through actual power distribution, so that the scheduling strategy is closer to the actual situation, and is corrected according to the actual situation, so that the cost is minimum, and the optimal scheduling structure is obtained.
Preferably, referring to fig. 3, the step S130 is specifically: and calculating actual power data of each section according to a scheduling strategy, acquiring actual power distribution of each section, and analyzing and judging according to the power distribution of each section by combining constraint conditions to correct the scheduling strategy so as to acquire an optimal scheduling structure.
According to the energy storage charging and discharging strategies, actual power data of each interval are calculated, and actual power distribution of each interval is obtained, wherein for a first interval, electric power P_actual_x1 charged by using mains supply and electric power P_actual_y1 charged by using the mains supply and wind power generation are obtained, for a second interval, forced discharging power P_z2 is obtained, for a third interval, power P_y3 supplemented by using only wind power generation and energy storage needed after power supply by using the photovoltaic power generation is obtained, for the third interval, the energy storage charging and discharging strategies are discharging, and meanwhile, because of the high third electricity price, wind power generation, photovoltaic power generation and energy storage charge are utilized for providing electric energy for users, so that the cost is lowest, power supplemented by using only wind power generation and energy storage needed after power supply by using the photovoltaic power generation is obtained in the third interval, normal power supply in the third interval is ensured, and the cost is lowest at the moment.
When the power which is required to be stored and supplemented after the forced discharge in the second interval and the power supply in the third interval are powered by wind power generation and photovoltaic power generation is charged by only the commercial power in the first interval, the redundant commercial power is stored and charged when the commercial power purchase power in the first interval is larger than the power of the power load, and the power is not charged in the second interval. When the power of the commercial power purchased in the first interval is larger than the power of the electric load, the redundant commercial power is stored and charged, and the second interval is not charged.
When the power which is required to be stored and supplemented by the energy storage after the forced discharge in the second interval and the power which is required to be supplied by the wind power generation and the photovoltaic power generation in the third interval can be met by the commercial power and the wind power generation charging in the first interval, the redundant charged power is stored and charged when the power of the electric load in the first interval is smaller than the commercial power purchase power or the sum of the commercial power purchase power and the wind power generation power, and the second interval is not charged. When the P_actual_y1-z2 is more than or equal to y3, the redundant charge power is stored and charged when the power of the electric load in the first interval is smaller than the commercial power purchase power or the sum of the commercial power purchase power and the wind power generation power, and the second interval is not charged.
When the power for forced discharge in the second interval and the power for energy storage and supplement required after power supply by wind power generation and photovoltaic power generation in the third interval cannot be met by the commercial power and the wind power generation charging in the first interval, the redundant charge power is stored and charged when the power for electric load in the first interval is smaller than the commercial power or the sum of the commercial power and the wind power generation power, and the redundant charge power is stored and charged when the power for electric load in the second interval is smaller than the wind power generation power or the sum of the wind power generation power and the commercial power. When the P_actual_y1-z2 is smaller than y3, the redundant charge power is stored and charged when the power of the electric load in the first interval is smaller than the commercial power or the sum of the commercial power and the wind power generation power, and the redundant charge power is stored and charged when the power of the electric load in the second interval is smaller than the wind power generation power or the sum of the wind power generation power and the commercial power.
And discharging when the power of the electric load in the third interval is larger than the sum of the wind power generation power and the photovoltaic power generation power so as to discharge to an initial state of the energy storage charge state, thereby avoiding damage to the energy storage battery caused by excessive discharging.
Specifically, the step of discharging when the power of the electric load in the third interval is greater than the sum of the wind power generation power and the photovoltaic power generation power specifically includes:
and acquiring the charging energy storage charge power before the third interval, and judging the magnitude relation between the charging energy storage charge power and the power which is only supplied by wind power generation and photovoltaic power generation in the third interval and is required to be supplemented by energy storage.
When the charging energy storage charge power is not more than the power which is only supplied by wind power generation and photovoltaic power generation in the third interval and is needed to be supplemented by energy storage, the charging energy storage charge power is completely discharged in the third interval to supply power.
When the charging energy storage charge power is larger than the power required for energy storage and supplement after power supply by wind power generation and photovoltaic power generation in the third interval, discharging the charging energy storage charge power in the third interval by the power required for energy storage and supplement after power supply by wind power generation and photovoltaic power generation in the third interval, judging whether the charging energy storage charge power is redundant charge power for energy storage and charge during the charging of the first interval mains supply, and if yes, selling the charge power remained after discharging in the third interval; and if not, sequentially carrying out revocation adjustment on the charging conditions of the second interval and the first interval in the energy storage charging and discharging strategy.
The step of sequentially performing the revocation adjustment on the charging condition of the second interval and the first interval in the energy storage charging and discharging strategy specifically comprises the following steps:
and for the charging condition of the second section, since the purchase commercial power cost of the second power price is greater than the wind power generation cost, when the commercial power charging exists in the second section, the part of the commercial power charging is firstly cancelled, and if the residual charge power is still surplus, the part of the wind power generation is cancelled. In the charging situation of the first section, since the wind power generation cost is greater than the purchase commercial power cost of the first electricity price, the wind power generation part is withdrawn, if the remaining charge power is the charge power which is redundant to store energy and charge when the purchase commercial power of the first section is charged, the charge power is sold in the third section. At this time, the optimal scheduling structure can be obtained by integrating all the cases.
And step 140, verifying the correctness of the optimal scheduling structure. The micro-grid operation total cost can be minimized by verifying the correctness of the optimal scheduling structure to prove the scheduling according to the optimal scheduling structure.
For the first interval, the cost of charging by the mains supply is lowest, if the charging by the mains supply is not satisfied, the charging can be performed through wind power generation, redundant charges can be discharged and profitable in the third interval, the charging value can be reversely pushed according to the calculated actually required discharging value, so that the charging value required by the first interval can be accurately obtained, under the condition of ensuring no loss and even profitability, the charging is performed according to the charging cost from low to high, which is the optimal solution, for a power supply strategy, the power supply is performed according to the cost from low to high, and the power supply priority is sequentially the mains supply, the energy storage, the wind power generation and the photovoltaic power generation.
For the second interval, if the charged power after the first interval is charged is insufficient to supply power for the forced discharging of the second interval and the discharging time of the third interval on the basis of the first interval, the charging needs to be continued in the second interval, the charging value can be reversely pushed according to the calculated actual required discharging value, the charging cost is the optimal solution, for the power supply strategy, the power supply is performed according to the cost from low to high, and the power supply priority is wind power generation, commercial power, energy storage and photovoltaic power generation in sequence.
And for the third interval, the charging loss, the discharging profit, the discharging is the optimal solution, and for the power supply strategy, the power supply is performed according to the low-to-high cost, and the power supply priority is wind power generation, photovoltaic power generation, energy storage and commercial power in sequence.
And step S150, obtaining an optimal solution of the objective function according to the optimal scheduling structure and performing micro-grid scheduling.
Preferably, with continued reference to fig. 3, the step S150 specifically includes: according to the optimal scheduling structure, acquiring a time period corresponding to the charge energy storage scheduling condition in the optimal scheduling structure, combining the electricity price cost, the renewable energy power generation cost and the energy storage cost of a time-of-use electricity price interval corresponding to each time period, acquiring an optimal solution of the objective function according to the objective function, and carrying out micro-grid scheduling according to the charge energy storage scheduling condition in the optimal scheduling structure. According to the optimal scheduling structure, a time period corresponding to the charge energy storage scheduling condition in the optimal scheduling structure is acquired, a corresponding scheduling instruction curve can be acquired by combining the electricity price cost, the renewable energy power generation cost and the energy storage cost of each time period, so as to perform micro-grid scheduling, and an optimal solution of the objective function can be calculated and obtained by combining the objective function. The renewable energy power generation cost comprises wind power generation cost and photovoltaic power generation cost.
In summary, the micro-grid economic dispatching method of the invention is characterized in that through considering various situations of obtaining the optimal solution of the objective function and based on a greedy algorithm, a top-down iterative method is adopted to make successive selections, the solved problem is simplified into a sub-problem with smaller scale to obtain the optimal solution of the problem, a dispatching strategy is determined, and then the dispatching strategy is corrected according to the actual power distribution dispatching strategy, so that an optimal dispatching structure is obtained, the operation efficiency is high, and the dispatching structure is globally optimal.
The foregoing is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Various equivalent changes and modifications can be made by those skilled in the art based on the above embodiments, and all equivalent changes or modifications made within the scope of the claims shall fall within the scope of the present invention.

Claims (5)

1. A micro-grid economic dispatch method, comprising:
establishing constraint conditions and objective functions;
determining a sub-problem for obtaining an optimal solution of the objective function, and determining a scheduling strategy according to the sub-problem;
acquiring actual power distribution, and correcting a scheduling strategy according to the actual power distribution to acquire an optimal scheduling structure;
verifying the correctness of the optimal scheduling structure;
obtaining an optimal solution of the objective function according to the optimal scheduling structure and performing micro-grid scheduling;
the method comprises the steps of determining a sub-problem for obtaining the optimal solution of the objective function, and determining a scheduling strategy according to the sub-problem, wherein the objective function is the total cost of the operation of the micro-grid, and the optimal solution of the objective function is the minimum value of the total cost of the operation of the micro-grid:
determining the time-of-use electricity price as a sub-problem for obtaining an optimal solution of the objective function;
acquiring intervals of time-of-use electricity prices, and acquiring power supply priority and an energy storage charging and discharging strategy of the corresponding interval according to electricity price cost, renewable energy power generation cost and energy storage cost of each interval;
the step of acquiring the power supply priority and the energy storage charging and discharging strategy of the corresponding section according to the power price cost, the renewable energy power generation cost and the energy storage cost of each section in the section for acquiring the time-of-use power price comprises the following steps:
the method comprises the steps of obtaining a time-of-use electricity price interval and corresponding electricity price cost, wherein three time-of-use electricity price intervals are respectively a first interval, a second interval and a third interval, and correspondingly, the electricity price cost is respectively a first electricity price, a second electricity price and a third electricity price, and the first electricity price, the second electricity price and the third electricity price are sequentially increased;
acquiring power supply priority of each interval according to electricity price cost, renewable energy power generation cost and energy storage cost of each interval, wherein the renewable energy power generation cost comprises wind power generation cost and photovoltaic power generation cost;
acquiring an energy storage charging and discharging strategy according to the power supply priority of each interval;
the specific steps of acquiring the actual power distribution and correcting the dispatching strategy according to the actual power distribution, and acquiring the optimal dispatching structure are as follows:
calculating actual power data of each section according to a scheduling strategy, acquiring actual power distribution of each section, and analyzing and judging according to the power distribution of each section by combining constraint conditions to correct the scheduling strategy to acquire an optimal scheduling structure;
the step of establishing constraint conditions and objective functions specifically comprises the following steps:
establishing a mains power constraint condition, an energy storage constraint condition, a renewable energy constraint condition and a micro-grid power balance constraint condition;
dividing a single period into a plurality of time periods equally, and establishing an objective function by using the following calculation formula:
；
in the method, in the process of the invention,representing the total cost of micro-grid operation, +.>Representing the total number of time periods>A sequence number indicating a time period,representation->Wind power generation power in time period, +.>Representing wind power generation cost, < >>Representation->Photovoltaic power generation power of time period, +.>Representing the cost of photovoltaic power generation, < > in->Representation->The utility power of the time period is calculated,representation->The utility cost of the time period;
the microgrid power balance constraint is represented by the following expression:
；
in the method, in the process of the invention,sequence number indicating time period, +.>Representation->Wind power generation power in time period, +.>Representation->Photovoltaic power generation power of time period, +.>Representation->Mains power in time period, < >>Representation->Charging energy storage charging power of time period +.>Representation->And the electric load power of the time period.
2. The micro-grid economic dispatch method of claim 1, wherein the energy storage cost is less than a first electricity price, the wind power generation cost is greater than the first electricity price and less than the photovoltaic power generation cost, the second electricity price is greater than the wind power generation cost and less than the photovoltaic power generation cost, the third electricity price is greater than the photovoltaic power generation cost, the power supply priority of the first interval is sequentially obtained as commercial power, energy storage, wind power generation and photovoltaic power generation, the power supply priority of the second interval is sequentially obtained as wind power generation, commercial power, energy storage and photovoltaic power generation, the power supply priority of the third interval is sequentially wind power generation, photovoltaic power generation, energy storage and commercial power, and the step of obtaining the energy storage charging and discharging strategy according to the power supply priority of each interval is as follows: and determining an energy storage charging and discharging strategy to charge the first section, the second section and the third section according to the power supply priority of each section.
3. The method for economic dispatch of micro-grid according to claim 2, wherein the step of obtaining the actual power distribution and correcting the dispatch strategy according to the actual power distribution to obtain the optimal dispatch structure specifically comprises:
when the power which is required to be stored and supplemented after forced discharge in the second interval and power supply in the third interval is only supplied by wind power generation and photovoltaic power generation is charged by using the commercial power in the first interval, redundant commercial power is stored and charged when the commercial power purchased in the first interval is higher than the power of the electric load, and the power is not charged in the second interval;
when the power which is required to be stored and supplemented after the forced discharge in the second interval and the power which is required to be stored and supplemented after the power supply by wind power generation and photovoltaic power generation in the third interval can be met by using the commercial power and the wind power generation charge in the first interval, the redundant charge power is stored and charged when the power of the electric load in the first interval is smaller than the commercial power purchase power or the sum of the commercial power purchase power and the wind power generation power, and the second interval is not charged;
when the power for forced discharge in the second interval and the power for energy storage and supplement required after the power supply by wind power generation and photovoltaic power generation in the third interval cannot be met by the commercial power and the wind power generation charge in the first interval, the redundant charge power is stored and charged when the power for electric load in the first interval is smaller than the commercial power purchase power or the sum of the commercial power purchase power and the wind power generation power, and the redundant charge power is stored and charged when the power for electric load in the second interval is smaller than the wind power generation power or the sum of the wind power generation power and the commercial power purchase power;
and discharging when the power of the electric load in the third interval is larger than the sum of the wind power generation power and the photovoltaic power generation power.
4. The micro grid economic dispatch method of claim 3, wherein the discharging step when the power of the electrical load in the third section is greater than the sum of the wind power generation power and the photovoltaic power generation power comprises:
acquiring charging energy storage charge power before a third interval, and judging the magnitude relation between the charging energy storage charge power and power which is only supplied by wind power generation and photovoltaic power generation and is required to be supplemented by energy storage after the power is supplied in the third interval;
when the charging energy storage charge power is not more than the power which is only supplied by wind power generation and photovoltaic power generation and is required to be supplemented by energy storage, the charging energy storage charge power is discharged in the third interval;
when the charging energy storage charge power is larger than the power required for energy storage and supplement after power supply by wind power generation and photovoltaic power generation in the third interval, discharging the charging energy storage charge power in the third interval by the power required for energy storage and supplement after power supply by wind power generation and photovoltaic power generation in the third interval, judging whether the charging energy storage charge power is redundant charge power for energy storage and charge during the charging of the first interval mains supply, and if yes, selling the charge power remained after discharging in the third interval; and if not, sequentially carrying out revocation adjustment on the charging conditions of the second interval and the first interval in the energy storage charging and discharging strategy.
5. The economic dispatching method of micro-grid according to claim 1, wherein the specific steps of obtaining the optimal solution of the objective function according to the optimal dispatching structure and dispatching the micro-grid are as follows:
according to the optimal scheduling structure, acquiring a time period corresponding to the charge energy storage scheduling condition in the optimal scheduling structure, combining the electricity price cost, the renewable energy power generation cost and the energy storage cost of a time-of-use electricity price interval corresponding to each time period, acquiring an optimal solution of the objective function according to the objective function, and carrying out micro-grid scheduling according to the charge energy storage scheduling condition in the optimal scheduling structure.
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