CN108448632B - Alternating current-direct current micro-grid intraday rolling optimization scheduling method considering energy storage charge state circulation - Google Patents
Alternating current-direct current micro-grid intraday rolling optimization scheduling method considering energy storage charge state circulation Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
the invention discloses an alternating current-direct current microgrid intraday rolling optimization scheduling method considering energy storage charge state circulation, which comprises the following steps of: step 10), acquiring a day-ahead scheduling plan of the AC/DC microgrid; step 20) obtaining operation cost coefficients and operation limit values of all devices in the alternating current and direct current microgrid, and establishing a short-term daily scheduling model of the alternating current and direct current microgrid based on the day-ahead scheduling plan in the step 10); step 30) establishing a real-time day scheduling model of the alternating current-direct current microgrid based on the step 10) and the step 20); and step 40) solving the alternating current and direct current microgrid intraday rolling optimization scheduling model formed in the step 20) and the step 30), and obtaining an intraday operation plan of the alternating current and direct current microgrid. According to the method, rolling optimization of multiple time scales in a day is considered, the initial and final charge states of the stored energy are limited, the energy storage cyclic scheduling capability is guaranteed, and a reasonable day operation scheduling plan of the alternating current-direct current microgrid is made.
Description
Technical Field
The invention relates to the technical field of energy management and optimal scheduling of a microgrid, in particular to an alternating current-direct current microgrid day-inside rolling optimal scheduling method considering energy storage charge state circulation.
background
More and more renewable energy sources are connected into a power system through a microgrid, the permeability of the renewable energy sources in the power grid is greatly improved, the environmental pollution is greatly reduced by the renewable energy sources, the economic benefit of power generation is improved, however, the renewable energy sources are closely related to natural conditions, and the strong uncertainty and prediction error of the renewable energy sources bring great challenges to the safe and economic operation of the power grid. The shorter the predicted time scale is, the higher the source load prediction accuracy is, so that a day-ahead scheduling plan with a longer time scale cannot be directly adopted when a time interval comes, and the microgrid needs to be properly adjusted according to more accurate prediction data in the day so as to be used for plan implementation and execution of the microgrid.
The existing day-to-day rolling optimization scheduling only comprises one time scale, the adjusting capacity is limited, and meanwhile, the energy storage end state of each rolling period is not considered, so that the circulation adjusting capacity of an energy storage system cannot be ensured. The starting and stopping states of the diesel generator and the running state of the bidirectional converter are coupled in time, and day-to-day real-time adjustment cannot be carried out, so that day-ahead optimization results of the diesel generator and the bidirectional converter are used as a determined scheduling plan to be substituted into a day-to-day optimization model.
Disclosure of Invention
the invention aims to overcome the defects of the prior art and provides an alternating current-direct current microgrid day-interior rolling optimization scheduling method considering energy storage state-of-charge circulation.
the invention adopts the following technical scheme for solving the technical problems:
the invention provides an alternating current-direct current microgrid intraday rolling optimization scheduling method considering energy storage charge state circulation, which comprises the following steps of:
step 10, acquiring a day-ahead scheduling plan of the alternating current-direct current microgrid;
step 20, obtaining operation cost coefficients and operation limit values of all devices in the alternating current and direct current microgrid, and establishing a short-term daily scheduling model of the alternating current and direct current microgrid based on the day-ahead scheduling plan of the step 10;
step 30, establishing a real-time day scheduling model of the alternating current-direct current microgrid based on the step 10 and the step 20;
And step 40, solving the alternating current and direct current microgrid intraday rolling optimization scheduling model formed in the step 20 and the step 30, and obtaining an intraday operation plan of the alternating current and direct current microgrid.
As a further optimization scheme of the alternating current/direct current microgrid day-inside rolling optimization scheduling method considering energy storage state-of-charge circulation, in the step 10, the obtained day-ahead scheduling plan of the alternating current/direct current microgrid comprises a day-ahead on-off state plan of a diesel generator, a day-ahead forward and reverse current conversion state plan of a bidirectional current converter and a day-ahead state-of-charge plan of each energy storage period.
as a further optimization scheme of the alternating current/direct current microgrid day-in rolling optimization scheduling method considering energy storage state-of-charge circulation, in step 20, the obtained operation cost coefficients and operation limit values of each device in the alternating current/direct current microgrid include all cost coefficients and operation limit values related to a fan, a photovoltaic, a diesel generator, an energy storage, a bidirectional converter and an alternating current/direct current load, and the obtained cost coefficients, operation limit values and the day-ahead scheduling plan of the alternating current/direct current microgrid obtained in step 10 are substituted into the following formula to establish a day-in short-term scheduling model of the alternating current/direct current microgrid:
0≤PWT,h≤wh,0≤PPV,h≤ph (6)
The formula (1) is an objective function of a short-term scheduling model in the day; equations (2) - (5) are specific calculation formulas of each cost in the short-term scheduling model objective function in the day; the formula (6) is the power generation power constraint of the fan and the photovoltaic in the short-term daily scheduling model; the formula (7) is the restriction of the upper and lower limits of the operating power and the climbing speed of the diesel generator in the short-term scheduling model in the day; equations (8) - (9) are energy storage maximum charge-discharge power and charge state constraints in the short-term scheduling model in the day; equations (10) - (11) are the current conversion power and power fluctuation constraint of the bidirectional current converter in the short-term scheduling model in the day; equation (12) is the power constraint for load shedding in the short-term scheduling model in the day; equations (13) - (14) are the power balance constraints of the dc region and the ac region in the short-term scheduling model in the day; pWT,h、PPV,h、PDE，h、Andrespectively a fan, a photovoltaic, a diesel generator, an energy storage charging, an energy storage discharging and a bidirectional converter forward direction in a short-term scheduling model in the dayThe method comprises the following steps of converting, reversing and converting of a bidirectional converter, cutting off an alternating current load and cutting off the running power of a direct current load in a period h, wherein the bidirectional converter is used for converting from alternating current to direct current into forward conversion, and converting from direct current to alternating current into reverse conversion;The cost of fuel for diesel generators; Andthe operating and maintaining costs of the diesel generator, the energy storage, the bidirectional converter, the fan and the photovoltaic are respectively saved;andstate of charge deviation penalty and loss cost for energy storage;Cutting off the power outage penalty cost for the load;Is the fuel cost coefficient of the diesel generator; n is a radical ofhThe total number of the time periods of a short-term scheduling period in one day, and delta h is the time interval of the short-term scheduling period in one day; a isDEAnd bDEThe cost coefficient is the oil consumption characteristic of the diesel generator;the rated power of the diesel generator;For the firewood obtained in step 10a schedule of on-off states for the oil generator the day ahead,When the value is 1, the diesel generator is in a starting state at the time t day ahead, and when the value is 0, the diesel generator is in a stopping state;andRespectively representing the operating and maintaining cost coefficients of the diesel generator, the energy storage, the bidirectional converter, the fan and the photovoltaic;penalizing a cost coefficient for the state of charge deviation of the stored energy; s (N)h) For storing energy in NhA state of charge of the session; s (t) is the pre-day state of charge plan of the stored energy obtained in step 10 during the period t;energy storage loss cost factor;Removing a power outage penalty cost coefficient for the load; w is ahand phpredicting the power of the fan and the photovoltaic in the h period;andthe upper limit value and the lower limit value of the running power of the diesel generator in the starting state,AndFor climbing up and down in unit time interval of diesel generatorA rate limit;Andmaximum charge and discharge power limits for stored energy; s (h) and S (h-1) are charge states of energy stored in h and h-1 periods; etaCAnd ηDThe energy storage charge-discharge efficiency is obtained; smaxand SminS (0) is the initial charge state of the stored energy in the scheduling period; s (k) is the pre-day state of charge plan of the stored energy obtained in step 10 during the period k;the forward commutation state plan of the bidirectional converter before the time t is acquired in the step 10, wherein 1 represents that the forward commutation exists in the time t, and 0 represents that the forward commutation does not exist;The reverse commutation state plan of the bidirectional converter before the time t is acquired in the step 10, wherein 1 represents that negative commutation exists in the time t, and 0 represents that negative commutation does not exist;AndRepresenting the operating power limits for forward and reverse commutation of a bi-directional converter,AndThe lower limit value and the upper limit value represent the power fluctuation of the bidirectional converter in adjacent time periods;AndThe maximum load power limit value which can be cut off in h time interval alternating current and direct current;andforward and reverse converter efficiency limits for a bidirectional converter; lac,hand ldc,hAnd respectively predicting the power of the alternating current load and the direct current load in the h period.
As a further optimization scheme of the alternating current/direct current microgrid intraday rolling optimization scheduling method considering energy storage state of charge circulation, in step 30, the cost coefficient and the operation limit value obtained in step 20, the intraday short-term scheduling model obtained in step 20, and the diurnal scheduling plan obtained in step 10 are substituted into the following formula to establish an intraday real-time scheduling model of the alternating current/direct current microgrid:
0≤PWT,k≤wk,0≤PPV,k≤pk (20)
equation (15) is an objective function of the real-time scheduling model in the day; equations (16) - (19) are specific calculation formulas of each cost in the real-time scheduling model objective function in the day; the formula (20) is the power generation power constraint of the fan and the photovoltaic in the real-time scheduling model in the day; the formula (21) is the restriction of the upper and lower limits of the operating power and the climbing speed of the diesel generator in the real-time scheduling model in the day; equations (22) - (23) are energy storage maximum charge-discharge power and charge state constraints in the real-time scheduling model in the day; formulas (24) - (25) are the current conversion power and power fluctuation constraints of the bidirectional current converter in the real-time scheduling model in the day; equation (26) is the power constraint for load shedding in the real-time scheduling model in the day; equations (27) - (28) are power balance constraints of the direct current area and the alternating current area in the real-time scheduling model in the day; pWT，k、PPV，k、PDE，k、andrespectively scheduling the operating power of a fan, a photovoltaic generator, a diesel generator, energy storage charging, energy storage discharging, bidirectional converter forward current conversion, bidirectional converter reverse current conversion, alternating current load cutting and direct current load cutting in the model in real time in a day in a k time period; n is a radical ofkThe total number of the time periods of a real-time scheduling period in one day, and delta k is the time interval of the real-time scheduling period in one day; s (N)k) For storing energy in NkA state of charge of the session; s (h) is the short-term scheduling charge state plan of the energy storage in the step 20) in the h period of time; w is akand pkPredicting the power of the fan and the photovoltaic in real time in the day of the k time period; s (k) and S (k-1) are the charge states of the stored energy in the k and k-1 periods;AndIs the maximum excisable load power limit value of the alternating current and the direct current in the k time period; lac,kand ldc,kAnd respectively predicting the power of the alternating current load and the direct current load in the k period.
In step 40, for the ac/dc microgrid in-day rolling optimization scheduling model formed in steps 20 and 30, the model is iteratively solved by calling solver CPLEX through an integer optimization modeling toolbox YALMIP to obtain an in-day operation plan of the ac/dc microgrid.
compared with the prior art, the invention adopting the technical scheme has the following technical effects:
the multi-time scale optimization scheduling in the day carries out multi-stage optimization adjustment according to the source load prediction fluctuation, plays a role in buffering power adjustment to a certain extent, reduces the conditions of wind and light abandonment and load removal in the microgrid, and reduces the operation cost; in addition, in the scheduling model in the day without energy storage initial and final state limitation, the energy storage can be fully charged and discharged in the earlier stage, but the initial state electric quantity of the energy storage in the next rolling period cannot be ensured, the energy storage is discharged to the lowest charge state for many times along with the passage of the time period, the regulation capacity in the next time period of the energy storage is limited, the whole operation cost is greatly increased after the energy storage is accumulated, and the energy storage cannot be recovered to the charge state required by the scheduling in the next day. The energy storage initial and final state constraint in the method can ensure the circulation regulation capacity of the energy storage system and improve the economical efficiency of system operation.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
fig. 2 is a topology structure diagram of an ac/dc microgrid in an embodiment of the present invention.
FIG. 3 is a source-to-load predicted power and a day-ahead dispatch plan in an embodiment of the present invention; the source load power prediction nominal value of short-term scheduling in the day in the embodiment of the invention, (b) the source load power prediction nominal value of real-time scheduling in the day in the embodiment of the invention, and (c) the day-ahead scheduling plan of the alternating-current and direct-current microgrid obtained in the embodiment of the invention are obtained.
FIG. 4 is a diagram illustrating an optimized scheduling result according to an embodiment of the present invention; the method comprises the following steps of (a) optimizing results of fans, photovoltaic loads, alternating current loads and direct current loads scheduled in a short time in the day, (b) optimizing results of fans, photovoltaic loads, alternating current loads and direct current loads scheduled in a real time in the day, (c) optimizing results of a bidirectional current converter, a diesel generator and energy storage scheduled in a short time in the day, and (d) optimizing results of the bidirectional current converter, the diesel generator and the energy storage scheduled in a real time in the day.
Detailed Description
The technical solution of the embodiment of the present invention is further described below with reference to the accompanying drawings.
For the rolling optimization scheduling in the day, the method considers the optimization scheduling of a plurality of time scales, and limits the initial and final charge states of the energy storage to ensure the circular operation of the energy storage.
As shown in fig. 1, the topology of the ac/dc microgrid according to the embodiment of the method of the present invention is shown in fig. 2. The method comprises the following steps:
step 10), acquiring a day-ahead scheduling plan of the AC/DC microgrid;
step 20) obtaining operation cost coefficients and operation limit values of all devices in the alternating current and direct current microgrid, and establishing a short-term daily scheduling model of the alternating current and direct current microgrid based on the day-ahead scheduling plan in the step 10);
step 30) establishing a real-time day scheduling model of the alternating current-direct current microgrid based on the step 10) and the step 20);
And step 40) solving the alternating current and direct current microgrid intraday rolling optimization scheduling model formed in the step 20) and the step 30), and obtaining an intraday operation plan of the alternating current and direct current microgrid.
preferably, in the step 10), the acquired day-ahead scheduling plan for the ac/dc microgrid includes a day-ahead on/off state plan for the diesel generator, a day-ahead forward and reverse conversion state plan for the bidirectional converter, and a day-ahead charge state plan for each energy storage period.
as a preferred scheme, in step 20), the obtained operation cost coefficients and operation limit values of each device in the ac/dc microgrid include all cost coefficients and operation limit values related to a fan, a photovoltaic, a diesel generator, an energy storage, a bidirectional converter and an ac/dc load, and the obtained cost coefficients, operation limit values and the ac/dc microgrid day-ahead scheduling plan obtained in step 10) are substituted into the following formula to establish a short-term day scheduling model of the ac/dc microgrid:
0≤PWT,h≤wh,0≤PPV,h≤ph (6)
the formula (1) is an objective function of a short-term scheduling model in the day; equations (2) - (5) are specific calculation formulas of each cost in the short-term scheduling model objective function in the day; the formula (6) is the power generation power constraint of the fan and the photovoltaic in the short-term daily scheduling model; the formula (7) is the restriction of the upper and lower limits of the operating power and the climbing speed of the diesel generator in the short-term scheduling model in the day; equations (8) - (9) are energy storage maximum charge-discharge power and charge state constraints in the short-term scheduling model in the day; formulas (10) to (11) are the conversion power and power fluctuation of the bidirectional converter in the short-term scheduling model in the dayconstraining; equation (12) is the power constraint for load shedding in the short-term scheduling model in the day; equations (13) - (14) are the power balance constraints of the dc and ac regions in the short-term scheduling model in the day. PWT，h、PPV，h、PDE，h、andrespectively carrying out fan, photovoltaic, diesel generator, energy storage charging, energy storage discharging, bidirectional converter forward current conversion, bidirectional converter reverse current conversion, alternating current load cutting and direct current load cutting on the operation power in h time period in a short-term daily scheduling model, wherein the current conversion from alternating current to direct current of the bidirectional converter is forward current conversion, and the current conversion from direct current to alternating current is reverse current conversion;the cost of fuel for diesel generators; Andthe operating and maintaining costs of the diesel generator, the energy storage, the bidirectional converter, the fan and the photovoltaic are respectively saved;andState of charge deviation penalty and loss cost for energy storage;Cutting off the power outage penalty cost for the load;is the fuel cost coefficient of the diesel generator; n is a radical ofhthe total number of the time periods of a short-term scheduling period in one day, and delta h is the time interval of the short-term scheduling period in one day; a isDEAnd bDEThe cost coefficient is the oil consumption characteristic of the diesel generator;the rated power of the diesel generator;the schedule of the on-off state of the diesel generator before the day acquired in step 10),when the value is 1, the diesel generator is in a starting state at the time t day ahead, and when the value is 0, the diesel generator is in a stopping state;AndRespectively representing the operating and maintaining cost coefficients of the diesel generator, the energy storage, the bidirectional converter, the fan and the photovoltaic;penalizing a cost coefficient for the state of charge deviation of the stored energy; s (N)h) For storing energy in Nha state of charge of the session; (t) is a day-ahead state of charge plan of the stored energy obtained in the step 10) in a period t;energy storage loss cost factor;Removing a power outage penalty cost coefficient for the load; w is ahAnd phPredicting the power of the fan and the photovoltaic in the h period;andThe upper limit value and the lower limit value of the running power of the diesel generator in the starting state,AndThe speed limit values of downward climbing and upward climbing in unit time interval of the diesel generator are set;andmaximum charge and discharge power limits for stored energy; s (h) and S (h-1) are charge states of energy stored in h and h-1 periods; etaCAnd ηDthe energy storage charge-discharge efficiency is obtained; smaxAnd Smins (0) is the initial charge state of the stored energy in the scheduling period; s (k) is the pre-day state of charge plan of the stored energy obtained in step 10) in the k period;Is the forward commutation state plan of the bidirectional converter before the time t obtained in the step 10), 1 represents that the forward commutation exists in the time t, and 0 represents that the forward commutation does not exist;is the reverse commutation state plan of the bidirectional converter before the day at the time interval t obtained in the step 10), wherein 1 represents that negative commutation exists at the time interval t, and 0 represents that negative commutation does not exist;Andrepresenting the operating power limits for forward and reverse commutation of a bi-directional converter,Andthe lower limit value and the upper limit value represent the power fluctuation of the bidirectional converter in adjacent time periods;AndThe maximum load power limit value which can be cut off in h time interval alternating current and direct current;andforward and reverse converter efficiency limits for a bidirectional converter; lac,hAnd ldc,hAnd respectively predicting the power of the alternating current load and the direct current load in the h period.
preferably, in the step 30), the cost coefficient and the operation limit value obtained in the step 20), the short-term daily scheduling model in the step 20), and the daily scheduling plan obtained in the step 10) are substituted into the following formula to establish a real-time daily scheduling model of the ac/dc microgrid:
0≤PWT,k≤wk,0≤PPV,k≤pk (20)
Equation (15) is an objective function of the real-time scheduling model in the day; equations (16) - (19) are specific calculation formulas of each cost in the real-time scheduling model objective function in the day; the formula (20) is the power generation power constraint of the fan and the photovoltaic in the real-time scheduling model in the day; the formula (21) is that the diesel generator running power in the real-time scheduling model in the day is up and downlimiting and restricting the climbing speed; equations (22) - (23) are energy storage maximum charge-discharge power and charge state constraints in the real-time scheduling model in the day; formulas (24) - (25) are the current conversion power and power fluctuation constraints of the bidirectional current converter in the real-time scheduling model in the day; equation (26) is the power constraint for load shedding in the real-time scheduling model in the day; equations (27) - (28) are the power balance constraints of the dc and ac zones in the real-time scheduling model in the day. PWT，k、PPV，k、PDE，k、AndRespectively scheduling the operating power of a fan, a photovoltaic generator, a diesel generator, energy storage charging, energy storage discharging, bidirectional converter forward current conversion, bidirectional converter reverse current conversion, alternating current load cutting and direct current load cutting in the model in real time in a day in a k time period; n is a radical ofkThe total number of the time periods of a real-time scheduling period in one day, and delta k is the time interval of the real-time scheduling period in one day; s (N)k) For storing energy in Nka state of charge of the session; s (h) is the short-term scheduling charge state plan of the energy storage in the step 20) in the h period of time; w is akand pkpredicting the power of the fan and the photovoltaic in real time in the day of the k time period; s (k) and S (k-1) are the charge states of the stored energy in the k and k-1 periods;Andis the maximum excisable load power limit value of the alternating current and the direct current in the k time period; lac,kand ldc,kAnd respectively predicting the power of the alternating current load and the direct current load in the k period.
as a preferable scheme, in the step 40), for the alternating current/direct current microgrid intraday rolling optimization scheduling model formed in the steps 20) and 30), the model is iteratively solved by using an integer optimization modeling toolbox YALMIP to call a solver CPLEX, so as to obtain an intraday operation plan of the alternating current/direct current microgrid.
according to the method provided by the embodiment of the invention, the multiple time scales are adopted for rolling optimization to carry out day-to-day optimal scheduling of the alternating-current and direct-current microgrid, the day-to-day rolling optimization adjusts the last layer of optimization results according to more accurate prediction data, and finally a real-time scheduling scheme is determined. The multi-time scale rolling optimization can carry out multi-stage adjustment on the prediction error, reduces the phenomena of wind and light abandonment and load removal, increases the energy storage end state penalty function, ensures the energy storage circulation adjustment capability, and obtains better economic benefit.
an example is illustrated below.
an independent alternating current-direct current microgrid structure is shown in fig. 2, rolling optimization scheduling in the day is carried out for the microgrid, and basic parameters in the microgrid are shown in table 1.
TABLE 1 basic parameters in AC/DC microgrid
the short-term and real-time source load power predicted values for the typical day of the region are shown in (a) and (b) of fig. 3, respectively. The maximum load power which can be cut off in the AC/DC region in each time period is 50% of the predicted nominal value. Fig. 3 (c) shows the acquired day-ahead schedule of the ac/dc microgrid.
the intraday rolling optimization scheduling is performed on the microgrid, and the optimization result is shown in fig. 4. Fig. 4 (a) and (b) show the source load power optimization results of short-term and real-time daily optimization scheduling, respectively. It can be seen that short-term and real-time rolling optimization in the day can effectively track power fluctuation of source load, and wind curtailment and load shedding occur in scheduling in the day.
For (c) and (d) in fig. 4, the diesel generator is started to operate in the morning and evening hours, when the wind-solar energy storage is insufficient to power the ac-dc load; the energy storage transfers the redundant wind and light at night and at noon to the early morning and evening periods; the double-line converter converts the power of the alternating current area to the direct current area at night, and the power of the alternating current area is converted to the power of the direct current area at daytime; the predicted fluctuation of the source load power can be compensated by adjusting the output of the equipment within a day without changing the running states of the diesel generator and the bidirectional converter. The equipment power is adjusted by taking the minimum running cost as a target on the last time scale optimization result in short-term and real-time rolling optimization in the day to cope with source charge prediction fluctuation, and the energy storage initial and final state constraint ensures that the energy storage can be recovered to a certain charge state while exerting the adjustment capability of the energy storage, and ensures the adjustment capability and the cyclic utilization of the energy storage in the next time period.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are intended to further illustrate the principles of the invention, and that various changes and modifications may be made without departing from the spirit and scope of the invention, which is also intended to be covered by the appended claims. The scope of the invention is defined by the claims and their equivalents.
Claims (3)
1. an alternating current-direct current microgrid intraday rolling optimization scheduling method considering energy storage state of charge circulation is characterized by comprising the following steps:
Step 10, acquiring a day-ahead scheduling plan of the alternating current-direct current microgrid;
Step 20, obtaining operation cost coefficients and operation limit values of all devices in the alternating current and direct current microgrid, and establishing a short-term daily scheduling model of the alternating current and direct current microgrid based on the day-ahead scheduling plan of the step 10;
Step 30, establishing a real-time day scheduling model of the alternating current-direct current microgrid based on the step 10 and the step 20;
step 40, solving the alternating current and direct current microgrid intraday rolling optimization scheduling model formed in the step 20 and the step 30 to obtain an intraday operation plan of the alternating current and direct current microgrid;
In the step 10, the acquired day-ahead scheduling plan of the alternating current-direct current microgrid comprises a day-ahead on-off state plan of the diesel generator, a day-ahead forward and reverse current conversion state plan of the bidirectional current converter and a day-ahead charge state plan of each energy storage period;
in step 20, the obtained operation cost coefficients and operation limit values of each device in the ac/dc microgrid include all cost coefficients and operation limit values related to a fan, a photovoltaic, a diesel generator, an energy storage, a bidirectional converter and an ac/dc load, and the obtained cost coefficients and operation limit values and the day-ahead scheduling plan of the ac/dc microgrid obtained in step 10 are substituted into the following formula to establish a short-term day scheduling model of the ac/dc microgrid:
0≤PWT,h≤wh,0≤PPV,h≤ph (6)
the formula (1) is an objective function of a short-term scheduling model in the day; equations (2) - (5) are specific calculation formulas of each cost in the short-term scheduling model objective function in the day; the formula (6) is the power generation power constraint of the fan and the photovoltaic in the short-term daily scheduling model; the formula (7) is the restriction of the upper and lower limits of the operating power and the climbing speed of the diesel generator in the short-term scheduling model in the day; equations (8) - (9) are energy storage maximum charge-discharge power and charge state constraints in the short-term scheduling model in the day; equations (10) - (11) are the current conversion power and power fluctuation constraint of the bidirectional current converter in the short-term scheduling model in the day; equation (12) is the power constraint for load shedding in the short-term scheduling model in the day; equations (13) - (14) are the power balance constraints of the dc region and the ac region in the short-term scheduling model in the day; pWT,h、PPV,h、PDE,h、AndRespectively carrying out fan, photovoltaic, diesel generator, energy storage charging, energy storage discharging, bidirectional converter forward current conversion, bidirectional converter reverse current conversion, alternating current load cutting and direct current load cutting on the operation power in h time period in a short-term daily scheduling model, wherein the current conversion from alternating current to direct current of the bidirectional converter is forward current conversion, and the current conversion from direct current to alternating current is reverse current conversion;The cost of fuel for diesel generators; andthe operating and maintaining costs of the diesel generator, the energy storage, the bidirectional converter, the fan and the photovoltaic are respectively saved;AndState of charge deviation penalty and loss cost for energy storage;cutting off the power outage penalty cost for the load;is the fuel cost coefficient of the diesel generator; n is a radical ofhthe total number of the time periods of a short-term scheduling period in one day, and delta h is the time interval of the short-term scheduling period in one day; a isDEand bDEThe cost coefficient is the oil consumption characteristic of the diesel generator;the rated power of the diesel generator;For the schedule of the on-off state of the diesel generator before the day acquired in step 10,when the value is 1, the diesel generator is in a starting state at the time t day ahead, and when the value is 0, the diesel generator is in a stopping state;Andrespectively representing the operating and maintaining cost coefficients of the diesel generator, the energy storage, the bidirectional converter, the fan and the photovoltaic;Penalizing a cost coefficient for the state of charge deviation of the stored energy; s (N)h) For storing energy in Nha state of charge of the session; s (t) is the pre-day state of charge plan of the stored energy obtained in step 10 during the period t;Energy storage loss cost factor;Removing a power outage penalty cost coefficient for the load; w is ahAnd phpredicting the power of the fan and the photovoltaic in the h period;andThe upper limit value and the lower limit value of the running power of the diesel generator in the starting state,andFor climbing up and down in unit time interval of diesel generatora rate limit;AndMaximum charge and discharge power limits for stored energy; s (h) and S (h-1) are charge states of energy stored in h and h-1 periods; etaCand ηDthe energy storage charge-discharge efficiency is obtained; smaxand Smins (0) is the initial charge state of the stored energy in the scheduling period; s (k) is the pre-day state of charge plan of the stored energy obtained in step 10 during the period k;the forward commutation state plan of the bidirectional converter before the time t is acquired in the step 10, wherein 1 represents that the forward commutation exists in the time t, and 0 represents that the forward commutation does not exist;the reverse commutation state plan of the bidirectional converter before the time t is acquired in the step 10, wherein 1 represents that negative commutation exists in the time t, and 0 represents that negative commutation does not exist;andrepresenting the operating power limits for forward and reverse commutation of a bi-directional converter,Andthe lower limit value and the upper limit value represent the power fluctuation of the bidirectional converter in adjacent time periods;andThe maximum load power limit value which can be cut off in h time interval alternating current and direct current;andforward and reverse converter efficiency limits for a bidirectional converter; lac,hand ldc,hPower predicted values of the alternating current load and the direct current load in the h time period are respectively; pDE,h-1、the operation powers of a diesel generator, the forward conversion current of the bidirectional converter and the reverse conversion current of the bidirectional converter in the short-term scheduling model in the day at the h-1 time period are respectively.
2. the method according to claim 1, wherein in step 30, the cost coefficient and the operation limit value obtained in step 20, the in-day short-term scheduling model obtained in step 20, and the in-day scheduling plan obtained in step 10 are substituted into the following formula to establish an in-day real-time scheduling model of the ac/dc microgrid:
0≤PWT,k≤wk,0≤PPV,k≤pk (20)
Equation (15) is an objective function of the real-time scheduling model in the day; equations (16) - (19) are specific calculation formulas of each cost in the real-time scheduling model objective function in the day; formula (20) isThe generated power of a fan and a photovoltaic in the internal real-time scheduling model is restricted; the formula (21) is the restriction of the upper and lower limits of the operating power and the climbing speed of the diesel generator in the real-time scheduling model in the day; equations (22) - (23) are energy storage maximum charge-discharge power and charge state constraints in the real-time scheduling model in the day; formulas (24) - (25) are the current conversion power and power fluctuation constraints of the bidirectional current converter in the real-time scheduling model in the day; equation (26) is the power constraint for load shedding in the real-time scheduling model in the day; equations (27) - (28) are power balance constraints of the direct current area and the alternating current area in the real-time scheduling model in the day; pWT,k、PPV,k、PDE,k、Andrespectively scheduling the operating power of a fan, a photovoltaic generator, a diesel generator, energy storage charging, energy storage discharging, bidirectional converter forward current conversion, bidirectional converter reverse current conversion, alternating current load cutting and direct current load cutting in the model in real time in a day in a k time period; n is a radical ofkthe total number of the time periods of a real-time scheduling period in one day, and delta k is the time interval of the real-time scheduling period in one day; s (N)k) For storing energy in Nka state of charge of the session; s (h) is the short-term scheduling charge state plan of the energy storage in the step 20) in the h period of time; w is akAnd pkPredicting the power of the fan and the photovoltaic in real time in the day of the k time period; s (k) and S (k-1) are the charge states of the stored energy in the k and k-1 periods;Andis the maximum excisable load power limit value of the alternating current and the direct current in the k time period; lac,kand ldc,kpower predicted values of the alternating current load and the direct current load in a k time period are respectively; pDE,k-1、the operating power of the diesel generator, the forward conversion current of the bidirectional converter and the reverse conversion current of the bidirectional converter in the day real-time scheduling model in the k-1 time period are respectively.
3. the method as claimed in claim 2, wherein in step 40, for the ac/dc microgrid in-day rolling optimization scheduling model formed in steps 20 and 30, an integer optimization modeling tool box YALMIP calls a solver CPLEX to iteratively solve the model to obtain an in-day operation plan of the ac/dc microgrid.
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