CN109119993B - Multi-dimensional nine-zone optimal control strategy analysis method based on power distribution network system - Google Patents
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The invention belongs to the technical field of power distribution networks of power systems, and particularly relates to a multi-dimensional nine-zone optimal control strategy analysis method based on a power distribution network system. The reactive compensation control device of the power distribution network system is applied to reactive regulation and control of the power distribution network system. The maximum values of the peak and the valley of the actual load operation curve are fully considered, time division of each load section and the like are changed due to factors such as seasonality, holiday, working day difference and the like, and time section setting and load section change are synchronized. The power distribution network system comprises a controller, a control switch and a capacitor, wherein one end of the control switch is connected with the capacitor, and the other end of the control switch is connected with a power supply and is provided with an electric quantity acquisition device; the electric quantity acquisition device is connected with the controller, and a control port of the controller is connected with a switching port of the control switch. The comprehensive analysis and regulation of the power distribution network can be realized, the stability of the system and the power supply quality of power consumers are improved, the voltage quality of the power grid can be improved, the loss of the power grid is reduced, and the labor intensity of dispatching personnel is reduced.
Description
Technical Field
The invention belongs to the technical field of power distribution networks of power systems, and particularly relates to a multi-dimensional nine-zone optimal control strategy analysis method based on a power distribution network system. The reactive compensation control device of the power distribution network system is applied to reactive regulation and control of the power distribution network system. The maximum values of the peak and the valley of the actual load operation curve are fully considered, time division of each load section and the like are changed due to factors such as seasonality, holiday, working day difference and the like, and time section setting and load section change are synchronized.
Background
At present, the distribution network has high loss, an AVC system is rarely configured, particularly on a 10kV line, voltage reactive power control is mainly controlled manually, the labor intensity of district-county-level power grid dispatching personnel is increased, and the method is extremely unfavorable for reducing the loss of the distribution network and improving the power supply quality.
The voltage quality has direct influence on the stability of a power grid and the safe operation of power equipment. At present, the phenomenon of unqualified voltage caused by uneven network structure, power supply radius and tide distribution still commonly exists in the power distribution network in China. Particularly, in rural power networks, the phenomena of unqualified voltage of a power receiving end of a user and large line loss are particularly prominent due to the fact that power supply points are few, the power supply radius is long, and the load changes greatly along with seasons and time, so that electric equipment of the user at the tail end of a line cannot be started normally in a load peak period, and the improvement of voltage quality is urgently needed.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multidimensional nine-region optimal control strategy analysis method based on a power distribution network system, and aims to realize comprehensive analysis of voltage reactive power and time of the power distribution network and regulate and control the power of the power distribution network.
In order to realize the purpose, the invention is realized by the following technical scheme:
a power distribution network system-based multidimensional nine-zone optimal control strategy analysis method is disclosed, wherein a power distribution network system comprises a controller, a control switch and a capacitor, wherein one end of the control switch is connected with the capacitor, and the other end of the control switch is connected with a power supply and is provided with an electric quantity acquisition device; the electric quantity acquisition device is connected with the controller, and a control port of the controller is connected with a switching port of the control switch;
the analysis method comprises the following steps:
step 1: according to the maximum reactive power Q and the minimum reactive power Q of the dynamic load curve1Optimizing reactive capacity grouping; capacitor A1 has a capacity of Q1The capacitors B2, C3 and D4 have a capacitance of (Q-Q)1)/3；
Step 2: simulating a time segment A in a load curve, increasing both active power and reactive power, and setting the upper limit value and the lower limit value of a fixed reactive power fixed value in a multi-dimensional reactive power control area; when the reactive power reaches a lower limit value of a fixed value, a control switch of a capacitor with a corresponding capacity in the reactive voltage controller is switched on, and the compensation amount is increased until the reactive power reaches an upper limit value of the fixed value;
and step 3: simulating a time segment A to a time segment B in a load curve, along with the increase of reactive power, if the upper limit value of the fixed reactive constant value in the step 2 is exceeded and is not too much, not adjusting a control switch of a capacitor with a corresponding capacity in the control of the reactive voltage controller, and waiting for the reactive constant value to fall back to the limit value; if the upper limit value of the fixed reactive power fixed value exceeds the upper limit value of the fixed reactive power fixed value in the step 2, the upper limit value of the fixed value is improved by utilizing the dynamic adaptation of the fixed value boundary according to the historical load curve; the control switch of the capacitor with the corresponding capacity in the reactive voltage controller is continuously put into use, and the compensation quantity is increased until the new upper limit value of the reactive constant value is reached;
and 4, step 4: simulating a time segment B in the load curve, reducing reactive power, starting to cut off a control switch of a capacitor with a corresponding capacity in the reactive voltage controller control when the reactive power is reduced to the lower limit value of the fixed reactive constant value in the step 2, and increasing the compensation amount until the compensation amount is lower than the lower limit value of the reactive constant value;
and 5: simulating a time segment B to a time segment C in the load curve, reducing the reactive power to the minimum value, if the reactive power is less than the lower limit value of the fixed reactive constant value in the step 2, not adjusting a control switch of a control capacity capacitor in the reactive voltage controller, and waiting for the reactive constant value to rise back to the limit value; if the lower limit value of the fixed reactive power fixed value is lower than the lower limit value of the fixed reactive power fixed value in the step 2, the lower limit value of the fixed value is improved by utilizing the dynamic adaptation of the fixed value boundary according to the historical load curve; the control switch in the reactive voltage controller is continuously cut off, and the compensation amount is reduced until the compensation amount reaches a new lower limit value of the reactive constant value;
step 6: forming reactive fixed value upper and lower limit values of the line by the dynamic adaptation of the fixed value boundary from the step 2 to the step 5, wherein the fixed value limit values of the following time segment D, the time segment E, the time segment F and the time segment G meet the requirements, and the voltage fixed value limit value is adopted as a control target parameter to carry out the dynamic adaptation of the fixed value boundary in the same way in order to avoid the overlarge expansion of the reactive fixed value upper and lower limit values; the time from the time segment A to the time segment G is short, the action delay is prolonged by starting, the limit value adjustment is avoided, and the switching times of a control switch can be reduced;
and 7: the active power and the reactive power of the time section G to the time section I in the simulated load curve are uniformly increased, the load is subjected to large-amplitude monotonicity change, the trend is clear, the upper limit value and the lower limit value of the reactive constant value are contracted, and the limit value is adjusted along with the load curve by the constant value;
and 8: simulating a time segment I in the load curve, wherein the active power and the reactive power are the highest values, and even after the upper and lower limit values of the reactive constant value shrink after the step 7, the upper and lower limit values of the reactive power and the voltage are not improved, so that the peak value fluctuation is prevented;
and step 9: simulating a time section I to a time section J in a load curve, starting to reduce active power and reactive power from the highest value, keeping the limit values unchanged, starting to prolong action delay, avoiding limit value adjustment and reducing switching of a control switch;
step 10: simulating a time section J to a time section L in a load curve, reducing active power and reactive power from the highest value, leading the load to have large-amplitude monotonicity change, having clear trend, properly contracting the upper limit value and the lower limit value of a reactive constant value, and adjusting the limit value of the constant value along with the load curve;
step 11: simulating a time segment L to a time segment M in the load curve, wherein the active power and the reactive power are increased in a pseudo manner, and controlling according to a set strategy in the step 7; when the load passes through the time segment M and the time segment N, the load can be judged to be reduced and have fluctuation, the upper limit value and the lower limit value of the reactive power fixed value are widened, but the upper limit value of the reactive power fixed value and the upper limit value of the voltage fixed value are uniformly reduced by considering the time segment N in the simulated load curve, and the valley value fluctuation is prevented;
step 12: simulating a time segment N in a load curve, starting to prolong action delay, avoiding limit value adjustment and reducing switching of a control switch;
the upper limit value and the lower limit value of the reactive power and the voltage fixed value are adjusted in time intervals through a complete peak-valley changing load curve, so that the dynamic adaptation of the boundary is realized, and the aim of hierarchical optimization control is fulfilled.
The principle of the multi-dimensional nine-zone optimal control strategy based on the power distribution network system is as follows:
(1) in order to reduce the action times of the device as much as possible by a coordination mechanism of a time function and nine-zone control, different upper and lower limit values are adopted in different load sections by combining different laws of reactive power change of different load sections; considering the maximum values of the peak and the valley of the actual load operation curve, the time division of each load segment and the like can be changed due to factors such as seasons, holidays, working day differences and the like, and the time segment setting and the load segment change synchronously; according to different conditions of load changes of 4 seasons and each legal holiday in 1 year, different voltage reactive power control strategies are adopted, and the system is automatically switched to the corresponding control strategy every different seasons and legal holidays; according to the change rule of the load, a day is divided into 4 time intervals: peak load time, valley load time, time from valley load to peak load and time from peak load to valley load; taking daily load as an example, such as peak-to-valley load and valley-to-peak load sections, the load is subjected to large-amplitude monotonicity change, the trend is clear, and the voltage reactive upper and lower limit values are properly shrunk; making the device motion sensitive; in the peak and valley load section, the load fluctuates back and forth irregularly, the voltage reactive upper and lower limit values are relaxed, and the device action times are reduced; the deviation between the peak load, the valley load and the daily average load is maximum, the duration is short, and the voltage reactive target value of the load section is not required to be too high; the higher the load of the transformer substation is, the higher the lower limit voltage is, namely the operation voltage is properly increased at the peak load, and the lower limit voltage is increased; similarly, the operation voltage is properly reduced during the low-valley load, and the lower limit value of the voltage is reduced;
(2) dynamic adaptation of load factor to power factor fixed value boundaries; the calculation of the optimal function and the analytical method described in the boundary conditions, including the conditional constraint economic operation expression:
wherein:
phi [ v, cos theta, t ] is a function of voltage, power factor and time;
through regression analysis and correlation analysis, a reactive compensation strategy is formulated, a multi-dimensional nine-region diagram control strategy is realized, and a compensation mode of the operation characteristics of the power distribution network is met; obtaining an operation curve of reactive power in the past time period through regression analysis, thereby obtaining a correlation function, selecting the time and the capacity of a switching capacitor according to a load time function, and achieving the purpose of quickly tracking the change of a power distribution network and flexibly adjusting operation control parameters;
(3) by prolonging the action delay, at least more than one data refreshing period and actually setting the timing, the actual condition of system fluctuation is fully considered, the sensitivity of the device is improved, the action times of the device are reduced, the delay time is reasonably determined, and the adjustment time of the device is automatically prolonged or shortened by adopting a fuzzy control method according to the magnitude of the voltage reactive power threshold value.
The controller is an intelligent reactive voltage controller, the intelligent reactive voltage controller is provided with a multi-dimensional nine-region control strategy, and the reactive capacity regulation and control of the distribution network system can be met to the maximum extent by including time, voltage, reactive power, power factor and load rate; and automatically adjusting the boundary constant value according to regression analysis of historical data, and autonomously controlling the optimal selection of the compensation capacitance.
The capacitor is a 10kV capacitor.
The invention has the advantages and beneficial effects that:
the invention mainly applies the reactive compensation device of the 10kV distribution network system to the reactive regulation and control of the distribution network system. The invention provides a multi-dimensional nine-domain graph analysis method for reactive power, voltage, time and load rate, which can guide the intelligent economical operation of load power supply of a power distribution network, realize the comprehensive analysis of voltage reactive power and time of the power distribution network, regulate and control the power of the power distribution network, and improve the stability of a system and the power supply quality of power users.
The multi-dimensional nine-zone control strategy just accords with the characteristics of self-adjustment, self-organization and self-adaptive fuzzy control. The invention can improve the power factor of the power grid to the maximum extent, and has no overcompensation, no switching oscillation and no impact switching, and the control process is sensitive and rapid in response.
The invention can realize the coordinated control of the AVC system between each level of power grid, thereby achieving the purposes of improving the voltage quality of the power grid, reducing the network loss and lightening the labor intensity of dispatching personnel. Based on a main network AVC reactive voltage control technology, a distributed centralized feeder reactive voltage intelligent control system is constructed. A mobile reactive voltage control technology is combined to develop a distributed feeder reactive voltage intelligent controller so as to achieve the purposes of less occupied hardware resources, high capture speed, low power consumption and the like.
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Drawings
Fig. 1 is a schematic structural diagram of a multi-dimensional reactive power control area schematic diagram;
FIG. 2 is a schematic view of a reactive voltage controller control principle;
fig. 3 is a simulated load curve.
In the figure: capacitor a1, capacitor B2, capacitor C3, capacitor D4, control switch a5, control switch B6, control switch C7, control switch D8, time segment a, time segment B, time segment C, time segment D, time segment E, time segment F, time segment G, time segment H, time segment I, time segment J, time segment K, time segment L, time segment M, time segment N.
Detailed Description
The invention relates to a multi-dimensional nine-zone optimal control strategy analysis method based on a power distribution network system, as shown in figure 1, the power distribution network system mainly comprises a controller, a control switch and a capacitor: one end of the control switch is connected with the capacitor, and the other end of the control switch is connected with the power supply and is provided with the electric quantity acquisition device; the electric quantity acquisition device is connected with the controller, and a control port of the controller is connected with a switching port of the control switch. The controller is an intelligent reactive voltage controller, the intelligent reactive voltage controller is provided with a multi-dimensional nine-region control strategy, and reactive capacity regulation and control of the distribution network system can be met to the maximum extent by including time, voltage, reactive power, power factor, load rate and the like. And automatically adjusting the boundary constant value according to regression analysis of historical data, and autonomously controlling the optimal selection of the compensation capacitance. The capacitor is a 10kV capacitor.
The intelligent reactive voltage controller is an existing device, and controls a switching switch to debug reactive compensation quantity according to reactive power or voltage requirements of a power grid, as shown in fig. 2. The device can adopt a compensation mode of combining a fixed whole-group switching capacitor group and small MCR type SVC equipment, and the whole-group switching capacitor can deal with reactive fluctuation with long duration and large amplitude according to the fluctuation condition of the reactive load.
The invention is based on the multi-dimensional nine-zone optimal control strategy principle of a power distribution network system and comprises the following steps:
1. in order to reduce the number of device actions as much as possible, different upper and lower limit values should be adopted in different load sections by combining different laws of reactive power change of different load sections through a coordination mechanism of a time function and nine-zone control. Considering the maximum values of the peak and the valley of the actual load operation curve, the time division of each load segment and the like can be changed due to factors such as seasons, holidays, working day differences and the like, and the time segment setting and the load segment change synchronously; according to different conditions of load changes of 4 seasons and each legal holiday in 1 year, different voltage reactive power control strategies are adopted, and the system is automatically switched to the corresponding control strategy every different seasons and legal holidays; according to the change rule of the load, a day is divided into 4 time intervals: peak load hours, valley load hours, transitions from valley to peak load hours, and transitions from peak to valley load hours. Taking daily load as an example, such as load sections of peak to valley and peak to valley, the load has large monotonicity change, and the trend is clear, the upper and lower limit values of voltage reactive power are properly shrunk, as shown in fig. 1, so that the device is sensitive to action; in the peak and valley load section, the load fluctuates back and forth irregularly, the voltage reactive upper and lower limit values are properly relaxed, and the action times of the device are reduced as much as possible; the deviation between the peak load, the valley load and the daily average load is the largest, the duration is short, and the voltage reactive target value of the load section is not required to be too high. The higher the load of the transformer substation is, the higher the lower limit voltage is, namely the operation voltage is properly increased at the peak load, and the lower limit voltage is increased; similarly, the operating voltage is appropriately lowered at the time of the low-valley load, and the lower limit voltage is lowered.
2. And dynamically adapting the load rate to the power factor fixed value boundary. The calculation of the optimal function and the analytical method described in the boundary conditions, including the conditional constraint economic operation expression:
wherein:
φ [ v, cos θ, t ] is a function of voltage, power factor and time.
Through regression analysis and correlation analysis, a reactive compensation strategy can be formulated, a multi-dimensional nine-region diagram control strategy is realized, and a compensation mode of the operation characteristics of the power distribution network is met. And obtaining the running curve of the reactive power in the past time period through regression analysis, thereby obtaining a correlation function, selecting the time and the capacity of a switching capacitor according to the load time function, and achieving the purpose of quickly tracking the change of the power distribution network and flexibly adjusting the running control parameters.
3. By properly prolonging the action delay, at least more than one data refreshing period and actually setting the timing, the actual condition of system fluctuation is fully considered, the sensitivity of the device is improved as much as possible, the action times of the device are reduced, the delay time is reasonably determined, and the adjustment time of the device is automatically prolonged or shortened by adopting a fuzzy control method according to the magnitude of the voltage reactive power threshold value.
The invention relates to a multi-dimensional nine-zone optimal control strategy analysis method based on a power distribution network system, which comprises the following steps of:
the method comprises the following steps: according to the maximum reactive power Q and the minimum reactive power Q of the dynamic load curve1Optimizing reactive capacity grouping; as shown in FIG. 2, capacitor A1 has a capacity of Q1The capacitors B2, C3 and D4 have a capacitance of (Q-Q)1)/3。
Step two: in time segment a in fig. 3, both the active power and the reactive power increase, and in this case, the upper and lower fixed reactive power values in fig. 1 are fixed; when the reactive power reaches the lower limit of the fixed value, the control switches corresponding to the capacitor in fig. 2, i.e., the control switch a5, the control switch B6, the control switch C7 and the control switch D8 are switched on, and the compensation amount is increased until the upper limit of the reactive power reaches the upper limit of the fixed value.
Step three: in fig. 3, from time segment a to time segment B, as the reactive power increases, if the upper limit value of the fixed reactive fixed value in step two is exceeded, the control switch of the capacitor with the corresponding capacity in fig. 2 is not adjusted any more, and the reactive fixed value is waited to fall back to the limit value; if the fixed reactive power fixed value exceeds the upper limit value of the fixed reactive power fixed value in the second step, the upper limit value of the fixed value is increased by utilizing the dynamic adaptation of the fixed value boundary according to the historical load curve; in fig. 2, the control switch corresponding to the capacitor of the capacity is continuously put into operation, and the compensation quantity is increased until the new upper limit value of the reactive constant value is reached.
Step four: in the time segment B in the figure 3, the reactive power is reduced, when the reactive power is reduced to the lower limit value of the fixed reactive constant value in the step two, the control switch of the capacitor with the corresponding capacity in the figure 2 is started to be cut off, and the compensation quantity is increased until the compensation quantity is lower than the lower limit value of the reactive constant value.
Step five: in fig. 3, the reactive power decreases to the minimum value from the time segment B to the time segment C, and if the value is less than the lower limit value of the fixed reactive fixed value in the step two, the control switch of the capacitor with the control capacity in fig. 2 is not adjusted any more, and the reactive fixed value is waited to rise back to the limit value; if the lower limit value of the fixed reactive power fixed value is lower than the lower limit value of the fixed reactive power fixed value in the second step, the lower limit value of the fixed value is improved by utilizing the dynamic adaptation of the fixed value boundary according to the historical load curve; in fig. 2, the control switch is continuously switched off, and the compensation quantity is reduced until a new lower limit value of the idle fixed value is reached.
Step six: forming reactive fixed value upper and lower limit values of the line by the dynamic adaptation of the fixed value boundary of the second to the fifth steps, wherein the fixed value limit values of the following time segment D, the time segment E, the time segment F and the time segment G meet the requirements, and the voltage fixed value limit value is adopted as a control target parameter to carry out the dynamic adaptation of the fixed value boundary in the same way in order to avoid the excessive expansion of the reactive fixed value upper and lower limit values; and if the time from the time segment A to the time segment G is short, starting the time delay of the extension action is started, the adjustment of the limit value is avoided, and the switching times of the control switch can be reduced.
Step seven: in fig. 3, the active power and the reactive power of the time segment G to the time segment I are uniformly increased, the load is subjected to large-amplitude monotonicity change, the trend is clear, the upper limit value and the lower limit value of the reactive constant value are properly shrunk, and the limit values are adjusted along with the load curve.
Step eight: in the time segment I in fig. 3, the active power and the reactive power are the highest values, and even after the upper and lower limit values of the reactive constant value shrink after step seven, the upper and lower limit values of the reactive and the voltage do not need to be increased, so that the peak value fluctuation is prevented.
Step nine: in fig. 3, the time segment I reaches the time segment J, the active power and the reactive power start to decrease from the highest value, the limit values are unchanged, the start-up action is delayed, the limit value adjustment is avoided, and the switching of the control switch can be reduced.
Step ten: in fig. 3, the time segment J reaches the time segment L, the active power and the reactive power are reduced from the highest values, the load is subjected to large-amplitude monotonicity change, the trend is clear, the upper limit value and the lower limit value of the reactive constant value are properly shrunk, and the limit values are adjusted along with the load curve.
Step eleven: in fig. 3, from time segment L to time segment M, the active power and the reactive power are controlled by the predetermined strategy in step seven, due to the pseudo increase; when the load passes through the time segment M and the time segment N, the load can be judged to be reduced and fluctuation exists, the upper limit value and the lower limit value of the reactive power fixed value are properly relaxed, and the upper limit value of the reactive power fixed value and the voltage fixed value are uniformly reduced by considering the time segment N in the graph 3, so that valley value fluctuation is prevented;
step twelve: in fig. 3, time is segmented by N, delay of start extension action is delayed, limit adjustment is avoided, and switching of a control switch can be reduced.
The upper limit value and the lower limit value of the reactive power and the voltage fixed value are adjusted in time intervals through a complete peak-valley changing load curve, so that the dynamic adaptation of the boundary is realized, and the aim of hierarchical optimization control is fulfilled.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (4)
1. A multi-dimensional nine-zone optimal control strategy analysis method based on a power distribution network system is characterized by comprising the following steps: the power distribution network system comprises a controller, a control switch and a capacitor, wherein one end of the control switch is connected with the capacitor, and the other end of the control switch is connected with a power supply and provided with an electric quantity acquisition device; the electric quantity acquisition device is connected with the controller, and a control port of the controller is connected with a switching port of the control switch;
the analysis method comprises the following steps:
step 1: according to the maximum reactive power Q and the minimum reactive power Q of the dynamic load curve1Optimizing reactive capacity grouping; capacitor A1 has a capacity of Q1The capacitors B2, C3 and D4 have a capacitance of (Q-Q)1)/3；
Step 2: simulating a time segment A in a load curve, increasing both active power and reactive power, and setting the upper limit value and the lower limit value of a fixed reactive power fixed value in a multi-dimensional reactive power control area; when the reactive power reaches a lower limit value of a fixed value, a control switch of a capacitor with a corresponding capacity in the reactive voltage controller is switched on, and the compensation amount is increased until the reactive power reaches an upper limit value of the fixed value;
and step 3: simulating a time segment A to a time segment B in a load curve, along with the increase of reactive power, if the upper limit value of the fixed reactive constant value in the step 2 is exceeded and is not too much, not adjusting a control switch of a capacitor with a corresponding capacity in the control of the reactive voltage controller, and waiting for the reactive constant value to fall back to the limit value; if the upper limit value of the fixed reactive power fixed value exceeds the upper limit value of the fixed reactive power fixed value in the step 2, the upper limit value of the fixed value is improved by utilizing the dynamic adaptation of the fixed value boundary according to the historical load curve; the control switch of the capacitor with the corresponding capacity in the reactive voltage controller is continuously put into use, and the compensation quantity is increased until the new upper limit value of the reactive constant value is reached;
and 4, step 4: simulating a time segment B in the load curve, reducing reactive power, and when the reactive power is reduced to the lower limit value of the fixed reactive constant value in the step 2, starting to cut off a control switch of a capacitor with a corresponding capacity in the control of the reactive voltage controller, and reducing the compensation amount until the compensation amount is lower than the lower limit value of the reactive constant value;
and 5: simulating a time segment B to a time segment C in the load curve, reducing the reactive power to the minimum value, if the reactive power is less than the lower limit value of the fixed reactive constant value in the step 2, not adjusting a control switch of a control capacity capacitor in the reactive voltage controller, and waiting for the reactive constant value to rise back to the limit value; if the lower limit value of the fixed reactive power fixed value is lower than the lower limit value of the fixed reactive power fixed value in the step 2, the lower limit value of the fixed value is improved by utilizing the dynamic adaptation of the fixed value boundary according to the historical load curve; the control switch in the reactive voltage controller is continuously cut off, and the compensation amount is reduced until the compensation amount reaches a new lower limit value of the reactive constant value;
step 6: forming a new reactive fixed value upper and lower limit value through the dynamic adaptation of the fixed value boundary from the step 2 to the step 5, wherein the fixed value limit values of the following time segment D, the time segment E, the time segment F and the time segment G meet the requirements, and in order to avoid the excessive expansion of the reactive fixed value upper and lower limit values, the voltage fixed value limit value is adopted as a control target parameter to carry out the dynamic adaptation of the fixed value boundary in the same way; the time from the time segment A to the time segment G is short, the action delay is prolonged by starting, the limit value adjustment is avoided, and the switching times of a control switch can be reduced;
and 7: the active power and the reactive power of the time section G to the time section I in the simulated load curve are uniformly increased, the load is subjected to large-amplitude monotonicity change, the trend is clear, the upper limit value and the lower limit value of the reactive constant value are contracted, and the limit value is adjusted along with the load curve by the constant value;
and 8: simulating a time segment I in the load curve, wherein the active power and the reactive power are maximum values, and even after the upper limit value and the lower limit value of the reactive constant value shrink after the step 7, the upper limit values of the reactive power and the voltage are not improved, so that the peak value fluctuation is prevented;
and step 9: simulating a time section I to a time section J in a load curve, starting to reduce active power and reactive power from the highest value, keeping the limit values unchanged, starting to prolong action delay, avoiding limit value adjustment and reducing switching of a control switch;
step 10: simulating a time section J to a time section L in a load curve, reducing active power and reactive power from the highest value, leading the load to have large-amplitude monotonicity change, having clear trend, properly contracting the upper limit value and the lower limit value of a reactive constant value, and adjusting the limit value of the constant value along with the load curve;
step 11: simulating a time segment L to a time segment M in the load curve, wherein the active power and the reactive power are increased in a pseudo manner, and controlling according to a set strategy in the step 7; when the load passes through the time segment M and the time segment N, the load can be judged to be reduced and have fluctuation, the upper limit value and the lower limit value of the reactive power constant value are widened, but the lower limit values of the reactive power constant value and the voltage constant value are uniformly reduced by considering the time segment N in the simulated load curve, and the valley value fluctuation is prevented;
step 12: simulating a time segment N in a load curve, starting to prolong action delay, avoiding limit value adjustment and reducing switching of a control switch;
the upper limit value and the lower limit value of the reactive power and the voltage fixed value are adjusted in time intervals through a complete peak-valley changing load curve, so that the dynamic adaptation of the boundary is realized, and the aim of hierarchical optimization control is fulfilled.
2. The method for analyzing the multi-dimensional nine-zone optimal control strategy based on the power distribution network system as claimed in claim 1, wherein the method comprises the following steps: the principle of the multi-dimensional nine-zone optimal control strategy based on the power distribution network system is as follows:
(1) in order to reduce the action times of the device as much as possible by a coordination mechanism of a time function and nine-zone control, different upper and lower limit values are adopted in different load sections by combining different laws of reactive power change of different load sections; considering the maximum values of the peak and the valley of the actual load operation curve, the time division of each load segment and the like can be changed due to factors such as seasons, holidays, working day differences and the like, and the time segment setting and the load segment change synchronously; according to different conditions of load changes of 4 seasons and each legal holiday in 1 year, different voltage reactive power control strategies are adopted, and the system is automatically switched to the corresponding control strategy every different seasons and legal holidays; according to the change rule of the load, a day is divided into 4 time intervals: peak load time, valley load time, time from valley load to peak load and time from peak load to valley load; taking daily load as an example, such as peak-to-valley load and valley-to-peak load sections, the load is subjected to large-amplitude monotonicity change, the trend is clear, and the voltage reactive upper and lower limit values are properly shrunk; making the device motion sensitive; in the peak and valley load section, the load fluctuates back and forth irregularly, the voltage reactive upper and lower limit values are relaxed, and the device action times are reduced; the deviation between the peak load, the valley load and the daily average load is maximum, the duration is short, and the voltage reactive target value of the load section is not required to be too high; the higher the load of the transformer substation is, the higher the lower limit voltage is, namely the operation voltage is properly increased at the peak load, and the lower limit voltage is increased; similarly, the operation voltage is properly reduced during the low-valley load, and the lower limit value of the voltage is reduced;
(2) dynamic adaptation of load factor to power factor fixed value boundaries; the calculation of the optimal function and the analytical method described in the boundary conditions, including the conditional constraint economic operation expression:
wherein:
phi [ v, cos theta, t ] is a function of voltage, power factor and time;
through regression analysis and correlation analysis, a reactive compensation strategy is formulated, a multi-dimensional nine-region diagram control strategy is realized, and a compensation mode of the operation characteristics of the power distribution network is met; obtaining an operation curve of reactive power in the past time period through regression analysis, thereby obtaining a correlation function, selecting the time and the capacity of a switching capacitor according to a load time function, and achieving the purpose of quickly tracking the change of a power distribution network and flexibly adjusting operation control parameters;
(3) by prolonging the action delay, at least more than one data refreshing period and actually setting the timing, the actual condition of system fluctuation is fully considered, the sensitivity of the device is improved, the action times of the device are reduced, the delay time is reasonably determined, and the adjustment time of the device is automatically prolonged or shortened by adopting a fuzzy control method according to the magnitude of the voltage reactive power threshold value.
3. The method for analyzing the multi-dimensional nine-zone optimal control strategy based on the power distribution network system as claimed in claim 1, wherein the method comprises the following steps: the controller is an intelligent reactive voltage controller, the intelligent reactive voltage controller is provided with a multi-dimensional nine-region control strategy, and the reactive capacity regulation and control of the distribution network system can be met to the maximum extent by including time, voltage, reactive power, power factor and load rate; and automatically adjusting the boundary constant value according to regression analysis of historical data, and autonomously controlling the optimal selection of the compensation capacitance.
4. The method for analyzing the multi-dimensional nine-zone optimal control strategy based on the power distribution network system as claimed in claim 1, wherein the method comprises the following steps: the capacitor is a 10kV capacitor.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101207286A (en) * | 2007-11-09 | 2008-06-25 | 上海可鲁系统软件有限公司 | Method for electric voltage idle work regulation switch control |
| US7932637B2 (en) * | 2005-03-18 | 2011-04-26 | Wisconsin Alumni Research Foundation | Control of small distributed energy resources |
| CN102122822A (en) * | 2010-01-07 | 2011-07-13 | 陈栋新 | Method for reactively and comprehensively controlling voltage of transformer substation on the basis of previous working day and previous holiday |
| CN102593844A (en) * | 2012-02-27 | 2012-07-18 | 中国电力科学研究院 | Method for controlling voltage reactive variables of high-voltage power grid transformer substation |
| CA2894256A1 (en) * | 2013-05-14 | 2014-11-20 | Joe Hong Chow | Methods of computing steady-state voltage stability margins of power systems |
| CN106532728A (en) * | 2016-12-13 | 2017-03-22 | 广东电网有限责任公司云浮供电局 | Power grid switching control method based on nine-zone graph |
-
2018
- 2018-07-27 CN CN201810844267.7A patent/CN109119993B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7932637B2 (en) * | 2005-03-18 | 2011-04-26 | Wisconsin Alumni Research Foundation | Control of small distributed energy resources |
| CN101207286A (en) * | 2007-11-09 | 2008-06-25 | 上海可鲁系统软件有限公司 | Method for electric voltage idle work regulation switch control |
| CN102122822A (en) * | 2010-01-07 | 2011-07-13 | 陈栋新 | Method for reactively and comprehensively controlling voltage of transformer substation on the basis of previous working day and previous holiday |
| CN102593844A (en) * | 2012-02-27 | 2012-07-18 | 中国电力科学研究院 | Method for controlling voltage reactive variables of high-voltage power grid transformer substation |
| CA2894256A1 (en) * | 2013-05-14 | 2014-11-20 | Joe Hong Chow | Methods of computing steady-state voltage stability margins of power systems |
| CN106532728A (en) * | 2016-12-13 | 2017-03-22 | 广东电网有限责任公司云浮供电局 | Power grid switching control method based on nine-zone graph |
Non-Patent Citations (3)
| Title |
|---|
| "Analysis of nine zone diagram for voltage control of substation considering the load characteristics";Liu Jun-wei 等;《International Conference on Renewable Power Generation (RPG 2015)》;20160407;第1-6页 * |
| "基于九区图控制的变电站电压无功自动装置";赵永存 等;《山 西 电 力》;20050430;第1-3页 * |
| "新型无功补偿方式在变电站中的应用研究";廖文彪;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20131015;正文第37-47页 * |
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