Energy saving optimization system of local area electric energy resonance

Abstract

The application discloses an energy-saving optimization system of local area electric energy resonance, which comprises an intelligent controller, a mutual inductor, a plurality of capacitor groups and a plurality of switching switches, the mutual inductor is arranged on an existing three-phase circuit L1 line, a voltage detection unit is arranged in the intelligent controller, the voltage detection unit is electrically connected with existing three-phase circuit L2 and L3 lines, a current detection unit is arranged on the intelligent controller, the current detection unit is electrically connected with the mutual inductor and is used for collecting and detecting the current generated by the mutual inductor. The number of the capacitor groups connected to the three-phase circuit is changed, and the commercial power is brought into the resonance area, so that the optimal state is achieved, the heating power on the line is greatly reduced, and the energy-saving effect is achieved.

Description

Technical Field

[0001] This invention relates to the field of power grid equipment, specifically to an energy-saving optimization system for localized regional electrical energy resonance. Background Technology

[0002] In recent years, China has actively pursued energy conservation and emission reduction, continuously increasing its own pressure and taking more concrete and effective actions to actively address climate change. Achieving carbon peaking and carbon neutrality is a broad and profound systemic transformation of the economy and society. Carbon peaking and carbon neutrality must be incorporated into the overall framework of ecological civilization construction, demonstrating unwavering determination to achieve the goal of carbon neutrality on schedule. However, when connecting mains power to electrical equipment, the inherent frequency of mains power often causes it to fall outside the resonance zone, resulting in significant heat generation on the lines and wasting a large amount of electrical energy. Therefore, we propose an improvement, an energy-saving optimization system based on localized regional electrical resonance. Summary of the Invention

[0003] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0004] This invention discloses an energy-saving optimization system for localized regional electrical resonance, comprising a magnetoelectric resonance energy-saving circuit installed on a municipal power line. The system further includes an intelligent controller, current transformers, multiple capacitor banks, and multiple switching switches. The current transformers are installed on an existing three-phase circuit L1. The intelligent controller includes a voltage detection unit electrically connected to existing three-phase circuits L2 and L3 for collecting and detecting the voltage on L2 and L3. The intelligent controller also includes a current detection unit electrically connected to the current transformers for detecting the current generated by the current transformers. The data acquisition and detection process involves a central processing control module within the intelligent controller, which also features a multi-output control interface. Each capacitor bank is electrically connected to the three-phase circuits L1, L2, and L3 via a switching switch. The capacitor banks are denoted as C1, C2, C3...Cn; the switching switches are denoted as J1, J2, J3...Jn. C1, ..., Cn represent n distinct capacitor banks, which can be combined in any way to obtain 2n-1 combinations. Each combination has a capacitor bank parameter Cj, where j = 1, ..., 2n-1, and all combinations have the same overall capacitance parameter, such that Cj... <C;

[0005] The control method of the aforementioned intelligent control device includes the following steps:

[0006] Step 1: The current amplitude A and phase voltage V in the respective circuits are detected by the current transformer and voltage detection unit. If the current amplitude A is less than the set minimum operating current value AL, the intelligent controller will not work and will not switch any capacitor bank into the three-phase circuit. If the phase voltage V is greater than the set minimum operating voltage value VH or less than the set minimum operating voltage value VL, the intelligent controller will not work and will not switch any capacitor bank into the three-phase circuit.

[0007] Step 2: Perform initial connection. Let the switching value of the capacitor be I1 = 1. Then the corresponding capacitance value of the capacitor is C1 = C(I1). Then collect the initial phase voltage amplitude V1 and the initial current amplitude A1. Calculate the ratio of the initial voltage amplitude V1 to the initial current amplitude S1 = V1 / A1. If I1 < 2n-1, then i = I1 + di, where i = MIN(i, 2n-1).

[0008] Step 3: Perform a search for switching, with capacitor value C2 as the switch, and IO output control i, then I2 = i, and the corresponding capacitor value is C2 = C(i). Then, the switching phase voltage amplitude V2 and the switching current amplitude A2 are collected, and the ratio of the switching voltage amplitude V2 to the switching current amplitude S2 = V2 / A2 is calculated.

[0009] Step 4: By judging the values ​​of S1 and S2, the number of capacitors connected to the three-phase circuit is changed to bring the mains power into the resonant region, thereby achieving the optimal state.

[0010] As a preferred technical solution of the present invention, an initial optimization is performed before step 1. If I(M-1)=0, then the voltage amplitude V(i)=0.0, the voltage amplitude A(i)=0.0, the amplitude-frequency characteristic value S(i)=0.0, where i=0…M, and the capacitor switching IO value I(i)=0, where M is any number.

[0011] As a preferred embodiment of the present invention, the energy-saving optimization system for local area electrical resonance is installed close to the electrical equipment.

[0012] As a preferred technical solution of the present invention, in step 2, i = I1 + di, di represents the resonance search span, where di = 1, ..., 2n-1. When di = 1, the system performs a non-crossing search; when di > 1, it performs a crossing search. If the phase detection finds that it has entered the capacitive region, all capacitors are cut off and the value of di is automatically reduced, i.e., di = MAX, and the search is restarted. The initial value of di is set to di = 2.

[0013] As a preferred technical solution of the present invention, when initially inputting in step 2, first let I1 = 1, then the corresponding capacitance value is C1 = C(I1). If I(M - 1) is not equal to 0, then I1 = I(M - 1) and di = di / K; where K is the optimization magnification of the old equipment, that is, the equipment used in the same place and the same power grid system, and K is a natural number greater than 4.

[0014] As a preferred technical solution of the present invention, the method of changing the number of capacitor banks connected to the three-phase circuit by judging the sizes of S1 and S2 to reach the optimal state is

[0015] A. If S2 > S1*(1 + k1), where k1 is an adjustable parameter and its value ranges from 0.00 to 0.050, it indicates that the mains power is approaching the resonance peak, then continue to increase the input amount of the capacitor bank;

[0016] If i + di <= 2n, then save the new data i = i + di, V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and enter step B, otherwise enter step C;

[0017] B. If S2 < S1*(1 - k2), where k2 is an adjustable parameter and its value ranges from 0.00 to 0.020; then retreat half a span; if di >= 2, then i = i - MAX(1, di / 2), take a half-step back and search forward. If i < 1, then perform initialization and then jump to return to step B; otherwise let i = i - di, V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and jump to step D;

[0018] C. If S1*(1 - k2) <= S2 <= S1*(1 + k1), at this time both C1 and C2 can make the mains power fall within the resonance region, near the resonance peak; if di >= 2, then i = i - MAX(1, di / 2). If i < 1, then perform initialization and let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2 and jump to return to step B, take a half-step back and search forward. If I2 = I(M - 1), then return to step C. At the same time, let V(j) = V(j + 1), A(j) = A(j + 1), S(j) = A(j + 1), I(j) = I(j + 1), where j = 0…M - 2, V(M - 1) = V2; A(M - 1) = A2; S(M - 1) = S2; I(M - 1) = I2, V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and then return to step C.

[0019] D. If i > 1, then switch with capacitance value C(i), output i by IO, initialize I2 = i and start resampling. Re - collect the switched - phase voltage amplitude V2 and switched - current amplitude A2, calculate the ratio of the switched - voltage amplitude V2 to the switched - current amplitude S2 = V2 / A2, and judge the magnitudes of S1 and S2 again;

[0020] E. If S2 > S1*(1 + k2) after re - collection, at this time the system transfers from the capacitive region to the inductive region; then i = i - di, search backward, let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2; if ii < 1, then initialize, otherwise transfer to step D;

[0021] If S2 < S1*(1 - k1), the system continues to retreat in the inductive region and more capacitors should be put in; then let i = i + 1, search forward in detail, let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and then turn back to step B;

[0022] If S1*(1 - k1) <= S2 <= S1*(1 + k2), it indicates that the system is near the resonance peak. At this time, both C1 and C2 can make the mains electricity fall within the resonance region. If di >= 2, then i = i + 1, search forward in detail, let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2 and jump to step B; if I2 = I(M - 1), then jump to step D, and V(j) = V(j + 1), A(j) = A(j + 1), S(j) = S(j + 1), where j = 0,,,,M - 2), I(j) = I(j + 1), where j = 0,,,,M - 2), V(M - 1) = V2; A(M - 1) = A2; S(M - 1) = S2; I(M - 1) = I2 and jump to step D;

[0023] The beneficial effects of the present invention are: [[ID=I4]]

[0024] This energy - saving optimization system for local - area electric - energy resonance detects the current amplitude A and phase voltage V in the circuit through a current transformer and a voltage - detection unit respectively. If the current amplitude A is less than the set minimum working current value AL, the intelligent controller does not work and does not switch any capacitor banks into the three - phase circuit; if the phase voltage V is greater than the set minimum working voltage value VH or the phase voltage V is less than the set minimum working value VL, the intelligent controller does not work and does not switch any capacitor banks into the three - phase circuit;

[0025] Step 2: Perform initial connection. Let the switching value of the capacitor be I1 = 1. Then the corresponding capacitance value of the capacitor is C1 = C(I1). Then collect the initial phase voltage amplitude V1 and the initial current amplitude A1. Calculate the ratio of the initial voltage amplitude V1 to the initial current amplitude S1 = V1 / A1. If I1 < 2n-1, then i = I1 + di, where i = MIN(i, 2n-1).

[0026] Step 3: Perform a search for switching, switching with capacitor value C2, and controlling i with IO output, then I2 = i, and the corresponding capacitor value is C2 = C(i). Then, the amplitude of the switching phase voltage V2 and the amplitude of the switching current A2 are collected, and the ratio of the switching voltage amplitude V2 to the switching current amplitude S2 = V2 / A2 is calculated.

[0027] Step 4: By judging the values ​​of S1 and S2, the number of capacitor banks connected to the three-phase circuit is changed to achieve the optimal state. Furthermore, this invention, through the optimization control with its unique features, uses an intelligent control device to add different numbers of capacitor banks to the mains circuit according to the mains power consumption, thereby bringing the mains power into the resonance zone, which greatly reduces the heat generation power on the line, thus achieving the effect of energy saving. Attached Figure Description

[0028] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0029] Figure 1 This is a schematic diagram of the structure of an energy-saving optimization system for local area electrical energy resonance according to the present invention;

[0030] Figure 2 This is a schematic diagram of the general structure of the magnetoelectric resonance energy-saving circuit of an energy-saving device based on the magnetoelectric resonance phenomenon according to the present invention.

[0031] Figure 3 This is an equivalent circuit diagram of the magnetoelectric resonance energy-saving circuit of an energy-saving device based on the magnetoelectric resonance phenomenon of the present invention.

[0032] Figure 4 It is the equivalent LRC parallel loop circuit of the first LRC circuit, the second LRC circuit, and the third LRC circuit;

[0033] Figure 5 It is the impedance-frequency characteristic curve of a parallel resonant circuit;

[0034] Figure 6 This is the reactance frequency response diagram of a parallel circuit;

[0035] Figure 7 It is a graph of the resonance characteristic;

[0036] Figure 8 It is the frequency curve inherent when the loop capacitance and inductance are very small;

[0037] Figure 9 It is the state diagram in loop resonance;

[0038] Figure 10 It is the state diagram of the mains power when S2 > S1*(1 + k1);

[0039] Figure 11 It is the state diagram of the mains power when S2 < S1*(1 - k2);

[0040] Figure 12 It is the state diagram of the mains power when S1*(1 - k2) <= S2 <= S1*(1 + k1);

[0041] Figure 13 It is the first state diagram of the mains power when S2 > S1*(1 + k2);

[0042] Figure 14 It is the second state diagram of the mains power when S2 > S1*(1 + k2);

[0043] Figure 15 It is the state diagram of the mains power when S2 < S1*(1 - k1);

[0044] Figure 16 It is the state diagram of the mains power when S2 < S1*(1 - k1).

[0045] In the figure: 1. Intelligent controller; 2. Current transformer; 3. Capacitor bank; 4. Switching switch; 5. Voltage detection unit; 6. Current detection unit; 7. Central processing and control module; 8. Multi-channel output control interface. Specific implementation manner

[0046] The following is a description of the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustration and explanation of the present invention, and are not used to limit the present invention.

[0047] Embodiment: As Figure 1As shown, this invention discloses an energy-saving optimization system for localized regional electrical resonance, comprising a magnetoelectric resonance energy-saving circuit installed on a municipal power line. The energy-saving optimization system further includes an intelligent controller 1, a current transformer 2, multiple capacitor banks 3, and multiple switching switches 4. The current transformer 2 is installed on an existing three-phase circuit L1. The intelligent controller 1 includes a voltage detection unit 5, which is electrically connected to the existing three-phase circuits L2 and L3, for collecting and detecting the voltage on the three-phase circuits L2 and L3. The intelligent controller 1 also includes a current detection unit 6, which is electrically connected to the current transformer 2, for detecting the voltage generated by the current transformer 2. The current is collected and detected. The intelligent controller 1 is equipped with a central processing control module 7 and a multi-output control interface 8. Each capacitor group 3 is electrically connected to the three-phase circuit L1, L2 and L3 via a switching switch 4. The multiple capacitor groups 3 are denoted as C1, C2, C3...Cn; the multiple switching switches 4 are denoted as J1, J2, J3...Jn; C1,...,Cn are n different capacitor groups, which can be combined in any way to obtain 2n-1 combinations. The capacitor group parameter of each combination is Cj, where j = 1,...,2n-1, and they have the same overall capacitance parameter, such that Cj... <Cj+1;

[0048] The control method of the aforementioned intelligent control device includes the following steps:

[0049] Step 1: The current amplitude A and phase voltage V in the respective circuits are detected by the current transformer and voltage detection unit. If the current amplitude A is less than the set minimum operating current value AL, the intelligent controller will not work and will not switch any capacitor bank into the three-phase circuit. If the phase voltage V is greater than the set minimum operating voltage value VH or less than the set minimum operating voltage value VL, the intelligent controller will not work and will not switch any capacitor bank into the three-phase circuit.

[0050] Step 2: Perform initial connection. Let the switching value of the capacitor be I1 = 1. Then the corresponding capacitance value of the capacitor is C1 = C(I1). Then collect the initial phase voltage amplitude V1 and the initial current amplitude A1. Calculate the ratio of the initial voltage amplitude V1 to the initial current amplitude S1 = V1 / A1. If I1 < 2n-1, then i = I1 + di, where i = MIN(i, 2n-1).

[0051] Step 3: Perform a search for switching, switching with capacitor value C2, and controlling i with IO output, then I2 = i, and the corresponding capacitor value is C2 = C(i). Then, the amplitude of the switching phase voltage V2 and the amplitude of the switching current A2 are collected, and the ratio of the switching voltage amplitude V2 to the switching current amplitude S2 = V2 / A2 is calculated.

[0052] Step 4: By judging the magnitudes of S1 and S2, change the number of capacitor banks connected to the three-phase circuit to reach the optimal state.

[0053] Perform initial optimization before Step 1. If I(M - 1) = 0, then the voltage amplitude V(i) = 0.0, the voltage amplitude A(i) = 0.0, and the amplitude-frequency characteristic value S(i) = 0.0, where i = 0…M, and the capacitor switching IO value I(i) = 0, where M is an arbitrary number.

[0054] In Step 2, i = I1 + di, where di represents the resonance search span. Here, di = 1, …, 2n - 1. When di = 1, the system performs a non-leaping search; when di > 1, it is a leaping search. If phase detection finds that the system enters the capacitive region, all capacitors are removed, and the value of di is automatically reduced, i.e., di = MAX(1, di / 2), and then the search is restarted. The initial value of di is set as: di = 2(n / 2 - 1).

[0055] When initially inputting in Step 2, first set I1 = 1, and the corresponding capacitance value is C1 = C(I1). If I(M - 1) is not equal to 0, then I1 = I(M - 1), and di = di / K; where K is the optimization factor for old equipment, that is, equipment used in the same location and the same power grid system, and K is a natural number greater than 4.

[0056] The method of changing the number of capacitor banks connected to the three-phase circuit by judging the magnitudes of S1 and S2 to reach the optimal state is as follows:

[0057] A. If S2 > S1*(1 + k1), where k1 is an adjustable parameter and its value ranges from 0.00 - 0.050, it indicates that the mains power is approaching the resonance peak. As shown in Figure 10 the figure, then continue to increase the input amount of capacitor banks;

[0058] If i + di <= 2n, then save the new data i = i + di, V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and enter Step B; otherwise, enter Step C.

[0059] B. If S2 < S1*(1 - k2), where k2 is an adjustable parameter and its value ranges from 0.00 - 0.020; as shown in Figure 11 the figure, then retreat half a span; if di >= 2, then i = i - MAX(1, di / 2), take a half-step back and search forward. If i < 1, then perform initialization and then jump to the return Step B; otherwise, set i = i - di, V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and jump to Step D.

[0060] C. If S1*(1 - k2) <= S2 <= S1*(1 + k1), as Figure 12 shown, at this time both C1 and C2 can make the mains power fall within the resonance region, near the resonance peak; if di >= 2, then i = i - MAX(1, di / 2). If i < 1, then initialize, and let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2. Jump to return to step B, take a half-step back, search forward, I2 = I(M - 1), then return to step C. At the same time, let V(j) = V(j + 1), A(j) = A(j + 1), S(j) = A(j + 1), I(j) = I(j + 1), where j = 0…M - 2, V(M - 1) = V2; A(M - 1) = A2; S(M - 1) = S2; I(M - 1) = I2, V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and then return to step C.

[0061] D. If i > 1, then switch with the capacitance value C(i), IO outputs i, I2 = i. Start from initialization and resampling, re-collect the switching phase voltage amplitude V2, the switching current amplitude A2, calculate the ratio of the switching voltage amplitude V2 to the switching current amplitude S2 = V2 / A2, and determine the magnitudes of S1 and S2 again;

[0062] E. If the re-collected S2 > S1*(1 + k2), as Figure 13 and Figure 14 shown, at this time the system transfers from the capacitive region to the inductive region; then i = i - di, search backward across, let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2; if ii < 1, then initialize, otherwise transfer to step D;

[0063] If S2 < S1*(1 - k1), as Figure 15 shown, the system continues to retreat in the inductive region, and the capacitor input should be increased; then let i = i + 1, search forward in detail, let V1 = V2, A1 = A2, S1 = S2, C1 = C2, I1 = I2, and then turn to step B;

[0064] If S1*(1 - k1) <= S2 <= S1*(1 + k2), as Figure 16As shown, this indicates that the system is near the resonance peak. At this time, both C1 and C2 can make the mains power fall within the resonance region. If di>=2, then i=i+1, refine the search forward, and let V1=V2, A1=A2, S1=S2, C1=C2, I1=I2 jump to step B; if I2=I(M-1), then jump to step D, and V(j)=V(j+1), A(j)=A(j+1), S(j)=S(j+1), where j=0,,,,M-2), I(j)=I(j+1), where j=0,,,,M-2), V(M-1)=V2; A(M-1)=A2; S(M-1)=S2; I(M-1)=I2 jump to step D.

[0065] The circuit of the magnetoelectric resonance energy-saving circuit is as follows: Figure 2 and Figure 3 As shown, the magnetoelectric resonance energy-saving circuit includes a first LRC circuit connected in parallel between wires L1 and L2; a second LRC circuit connected in parallel between wires L2 and L3; and a second LRC circuit connected in parallel between wires L1 and L3.

[0066] The first LRC circuit includes a variable inductor. Variable capacitor Fixed capacitor C 1 resistance R 1 Fixed inductor L 1 ;

[0067] The variable inductor and variable capacitor The circuit is connected in parallel to form a first parallel circuit. One end of the first parallel circuit is electrically connected to wire L1, and the other end of the first parallel circuit is also electrically connected to wire L1. The fixed capacitor C 1 The resistor R is arranged in parallel between wires L1 and L2. 1 With fixed inductor L 1 The resistor R is connected in series to form a series circuit. 1 Not with fixed inductor L 1 One end of the connection is electrically connected to wire L1, and the inductor L is fixed. 1 Not with resistor R 1 One end of the connection is electrically connected to wire L2.

[0068] 1. The second LRC circuit includes a variable inductor. Variable capacitor Fixed capacitor C 2 resistance R 2 Fixed inductor L 2 ;

[0069] The variable inductor and variable capacitor A second parallel circuit is formed, with one end of the second parallel circuit electrically connected to wire L2 and the other end of the second parallel circuit electrically connected to wire L3; the fixed capacitor C 2 The resistor R is arranged in parallel between wires L2 and L3; 2 With fixed inductor L 2 The resistor R is connected in series to form a series circuit. 2 Not with fixed inductor L 2 One end of the connection is electrically connected to wire L2, and the inductor L is fixed. 2 Not with resistor R 2 One end of the connection is electrically connected to wire L3.

[0070] The third LRC circuit includes a variable inductor. Variable capacitor Fixed capacitor C 3 resistance R 3 Fixed inductor L 3 .

[0071] The variable inductor and variable capacitor A parallel circuit is formed, with one end of the parallel circuit electrically connected to wire L2 and the other end of the parallel circuit electrically connected to wire L3; the fixed capacitor C 3 The resistor R is arranged in parallel between wires L2 and L3; 3 With fixed inductor L 3 The resistor R is connected in series to form a series circuit. 3 Not with fixed inductor L 3 One end of the connection is electrically connected to wire L1, and the inductor L is fixed. 3 Not with resistor R 3 One end of the connection is electrically connected to wire L3.

[0072] The variable inductor Variable capacitor Variable Inductance Variable capacitor Variable Inductance and variable capacitor All are electrically connected to the power optimization controller.

[0073] The energy-saving method of the energy-saving device based on the magnetoelectric resonance phenomenon is that the power optimization controller controls the variable inductor according to the electrical signal received from the current transformer. Variable capacitor Variable Inductance Variable capacitor Variable Inductance and variable capacitor The parameters are adjusted so that each circuit achieves a current resonance state, thereby achieving energy saving.

[0074] The first LRC circuit, the second LRC circuit, and the third LRC circuit can be equivalent to the following in the magnetoelectric resonance energy-saving circuit: Figure 4 The LRC parallel loop circuit shown, wherein the impedance in the equivalent LRC parallel loop circuit,

[0075]

[0076] Where is the load inductance, is the variable capacitor, is the variable inductance, the output voltage obtained across the circuit is , the current flowing through the fixed capacitor is , is the current flowing through the inductor, and the resistance is .

[0077] Assuming that, then we have:

[0078]

[0079] Then the admittance of the loop:

[0080]

[0081] in: and

[0082] Where L e The parallel equivalent result of L and L0 is given by L0. e The smaller the value, the better, and it can be rewritten as L, that is, L can be understood as the equivalent inductance of the system;

[0083] When the circuit resonates, ω = ω0, that is, ω0 is the resonant frequency, and at this time we have:

[0084]

[0085]

[0086]

[0087]

[0088]

[0089] On the other hand, due to:

[0090]

[0091]

[0092] When impedance reaches its maximum value, admittance will reach its minimum value, and current will find it most difficult to pass through.

[0093]

[0094] At this point, the system's equivalent resistance reaches its maximum value:

[0095]

[0096] Or, resonance can achieve the minimum conductivity value:

[0097]

[0098] The impedance characteristics of the circuit are as follows:

[0099]

[0100] in:

[0101]

[0102] or:

[0103]

[0104] make:

[0105]

[0106] When the circuit is in resonance:

[0107] ξ=0

[0108] but:

[0109]

[0110] Impedance amplitude-frequency characteristics:

[0111]

[0112] Impedance phase frequency characteristics:

[0113]

[0114] Voltage across the circuit:

[0115]

[0116] or

[0117]

[0118] like Figure 5 As shown, due to Z PThe circuit achieves its maximum value at ω0, while the current drops to its minimum. This means that the circuit operates with the minimum current under a constant voltage, thereby greatly reducing the external current supply. The external current decreases rapidly and significantly, saving external energy. By adjusting C0 or L0, the circuit reaches a resonant state, which greatly reduces the current outside the circuit, thereby significantly reducing the energy loss of the line and achieving energy saving.

[0119] Resonant voltage across the circuit

[0120]

[0121] When the circuit is in resonance (ω=ω0) The circuit impedance is at its maximum and is purely resistive R. e0 ;

[0122] When the circuit is detuned (ω≠ω0), the impedance of the parallel circuit decreases, the current increases, energy is not saved, the phase shift value increases, that is, the power factor decreases.

[0123] When ω < ω0 The impedance of the parallel circuit is inductive.

[0124] When ω>ω0 The impedance of the parallel circuit is capacitive;

[0125] If we ignore the loss resistance (r) of a simple parallel resonant circuit, we can then plot the reactance-frequency characteristic curve of the parallel circuit as follows: Figure 6 As shown.

[0126] The resonant resistance R of the parallel circuit with current characteristics at resonance e0 For ω0L or The current in each branch of a parallel circuit is inversely proportional to its impedance. Therefore, the current in the inductor and capacitor is Q0 times the external current, i.e.:

[0127] I L =I C =Q0I S

[0128] and: and The phases are opposite. Therefore, the external current required to maintain the circuit is 1 / Q0 of the current required by the motor, and the heat dissipation power of the external circuit is RI. S 2 R is the total resistance of the external circuit. If a circuit is not formed using capacitor C, assuming the load achieves equal current flow, the external current will be approximately I. L The heating power at this time is RI L 2 The ratio of the two is

[0129]

[0130] In other words, the heat generated now is only the same as before. If Q0 = 3, then the heat generation is reduced to 1 / 9. By adjusting C0 or L0, the circuit can reach a resonant state, and the current outside the circuit is greatly reduced.

[0131] ④ Voltage characteristics: The voltage across the circuit is at its maximum at resonance. It is in phase with the excitation current, and the power factor is equal to 1.0. Before adding C, assume the power supply voltage is V. y The original circuit should have included:

[0132] V y =I y ·R+I y ·jωL

[0133]

[0134] The voltage across the load is:

[0135] V yL =V y -I y ·R

[0136] After adding C:

[0137] V y =I s ·R+I L ·jωL=I S ·R+Q0I S ·jωL=I S (R+Q0·jωL)

[0138]

[0139] When R is very small, meaning the line is very good, then:

[0140] I y =Q0I S

[0141] At resonance, the voltage across the load is:

[0142]

[0143] This also shows that by optimizing the circuit, a larger voltage can be applied across the load, thereby increasing the load's operating capacity, since power is proportional to the square of the voltage.

[0144] ⑤ The slope of the phase frequency response curve

[0145]

[0146] The phase frequency characteristic of a parallel resonant circuit has a negative slope, and the higher the Q0, the greater the slope and the steeper the curve.

[0147] ⑥ Linear phase frequency range when At this time, the phase frequency characteristic can be approximated as:

[0148]

[0149] at this time The frequency range in which a linear relationship exists between Q0 and ω, and where the phase frequency response exhibits a linear relationship, is inversely proportional to Q0. For example... Figure 7 As shown.

[0150] Clearly, the curve shape is related to Q0. As shown in the graph, the larger Q0 is, the sharper the curve and the better the selectivity.

[0151] When the frequency of the power falls within the (ω1, ω2) region, the circuit is in a good energy-saving state. Adjusting C0 or L0 so that the frequency of the mains power 50 Hz falls within this region can achieve the purpose of energy saving. Moreover, the closer ω0 is to 100π, the better the energy-saving effect.

[0152] By employing the principle of magnetoelectric resonance, the power factor is effectively altered, and transient surges in the power grid circuit are filtered. The circuit has overvoltage, undervoltage, overcurrent, and short-time protection functions to ensure that the equipment is not affected or damaged by transient surges, thereby improving power efficiency, delaying the aging of electrical equipment, and minimizing the power consumption of the civil power system.

[0153] Parameter adjustment based on magnetoelectric resonance energy saving

[0154] From the above, we know that the resonant frequency of the circuit is:

[0155]

[0156] or

[0157]

[0158] Since loads such as motors are mostly inductive loads, L will not be zero. Therefore:

[0159]

[0160] It will not be zero.

[0161] However, since C=0, or it has inherent capacitive characteristics but with a small parameter, the natural frequency is... It is very large, and the impedance characteristic curve is approximately as follows: Figure 8 When the capacitance and inductance of the circuit are very small, the natural frequency is relatively high, and the circuit exhibits inductive characteristics.

[0162] When the value of C is increased, the natural frequency will decrease significantly, which is represented in the graph as moving closer to 50Hz (100π). Alternatively, it can be understood as the red vertical line moving to the right, closer to ω0. It can be seen that if the distance between the two is large, the initial movement of the position will result in a very slow increase in the value on the vertical axis. The following graph illustrates the phase angle hysteresis; the movement process can be understood as a correction of the phase difference. It can be seen that the phase difference correction effect changes slowly at the beginning, but becomes significant when a certain position is reached.

[0163] As the value of C is continuously increased, the red line will reach the position of the green line. At this point, the circuit resonates at the power frequency, the circuit impedance reaches its maximum, the external current flow is minimal, and the internal current circulates itself and reaches its maximum. At this time, from... Figure 9 As can be seen, the external current and voltage are in phase at resonance. The powerful internal current can drive the load. Figure 9 As shown in the figure. Calculations show that the heat generation power on the line will be greatly reduced.

[0164] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A local area electric energy resonance energy saving optimization system comprising a magneto-electric resonance energy saving circuit installed on a power line, characterized in that: The energy-saving optimization system further comprises an intelligent controller (1), a mutual inductor (2), a plurality of capacitor groups (3) and a plurality of switching switches (4), the mutual inductor (2) is arranged on an existing three-phase circuit L1 line, the intelligent controller (1) is internally provided with a voltage detection unit (5), the voltage detection unit (5) is electrically connected with existing three-phase circuit L2 and L3 lines, and is used for collecting and detecting the voltage on the three-phase circuit L2 and L3 lines; the intelligent controller (1) is provided with a current detection unit (6), the current detection unit (6) is electrically connected with the mutual inductor (2), and is used for collecting and detecting the current generated by the mutual inductor (2); the intelligent controller (1) is internally provided with a central processing control module (7), the intelligent controller (1) is further provided with a plurality of output control interfaces (8), each capacitor group (3) is electrically connected with the three-phase circuit L1, L2 and L3 lines through a switching switch (4); wherein the plurality of capacitor groups (3) are respectively denoted as C1, C2, C3...Cn; the plurality of switching switches (4) are respectively denoted as J1, J2, J3...Jn; wherein C1,...,Cn are n different capacitor groups, which can be combined in any way to obtain 2 n -1 combinations, the capacitor group parameters of each combination are Cj, wherein j=1,..., 2 n -1, and have the same overall capacitor parameters, so that Cj<C (j+1). The control method of the energy-saving optimization system comprises the following steps: Step 1, the current amplitude A and the phase voltage V in the respective circuit are detected by the mutual inductor and the voltage detection unit, if the current amplitude A is less than the set minimum working current value AL, the intelligent controller does not work, and any capacitor bank is not switched into the three-phase circuit; if the phase voltage V is greater than the set maximum working voltage value VH or the phase voltage V is less than the set minimum working value VL, the intelligent controller does not work, and any capacitor bank is not switched into the three-phase circuit; Step 2, make the initial input, let the switching value of the capacitor be I1=1, then the corresponding capacitor value of the capacitor is C1=C(I1), then the initial phase voltage amplitude V1 is collected, the initial current amplitude A1 is collected, the ratio of the initial voltage amplitude V1 and the initial current amplitude is calculated S1=V1 / A1, if I1<2 n -1, then i=I1+di, where i=MIN(i,2 n -1); di represents the resonance search span, where di=1,…,2 n -1; Step 3, search and switch, switch with the capacitor value C2, IO output control i, then I2=i, the corresponding capacitor value is C2=C(i), then the switched phase voltage amplitude V2 and the switched current amplitude A2 are collected, and the ratio S2=V2 / A2 of the switched voltage amplitude V2 and the switched current amplitude is calculated; Step 4, the number of capacitor banks connected to the three-phase circuit is changed by judging the size of S1 and S2, so that the commercial power falls into the resonance region, thereby achieving the optimal state.

2. The energy saving optimized system of local area electric energy resonance according to claim 1, characterized in that, Before step 1, initial optimization is performed, if I(M-1)=0, the voltage amplitude V(i)=0.0, the voltage amplitude A(i)=0.0, the amplitude-frequency characteristic value S(i)=0.0, wherein i=0…M, and the capacitor switching IO value I(i)=0, wherein M is an arbitrary number.

3. The partial area electric energy resonance energy saving optimization system according to claim 2, characterized in that, In step 2, i=I1+di, di represents the resonance search span; when di=1, the system performs non-span search; when di>1, it is span search, if the phase detection finds that it enters the capacitive region, all capacitors are removed, and di is automatically reduced, that is, di=MAX(1, di / 2), and the search is restarted, and the initial value of di is di=2(n / 2-1).

4. A partial-area electric energy resonance energy-saving optimization system according to any one of claims 1 to 3, characterized in that, In step 2, initially, I1=1, the corresponding capacitor value is C1=C(I1), if I(M-1) is not equal to 0, I1=I(M-1), and di=di / K; wherein K is the optimization multiple of the old equipment, that is, the same place and the same power grid system, K is a natural number greater than 4.

5. The partial area electric energy resonance energy saving optimization system according to claim 1, characterized in that, The method for changing the number of capacitor banks connected to the three-phase circuit by judging the size of S1 and S2 to achieve the optimal state is, A, if S2>S1*(1+k1), wherein k1 is an adjustable parameter, and the value thereof is between 0.00-0.050, it is indicated that the commercial power is close to the resonance peak, and then the capacitor bank input amount is continuously increased; If i + di <= 2 n -1, then save new data i = i + di, V1 = V2, A1 = A2, S1 = S2 C1 = C2, I1 = I2, go to step B, otherwise go to step C; B, if S2=2, i=i-MAX(1, di / 2), the step is backward by half, the forward search is performed, if i<1, initialization is performed, and then the step B is returned; otherwise, i=i-di, V1=V2, A1=A2, S1=S2, C1=C2, I1=I2, and the step D is returned. C. If S1*(1-k2)=2, then i=i-MAX(1,di / 2), if i<1, then initialize and let V1=V2, A1=A2, S1=S2, C1=C2, I1=I2, go to step B, back one step, forward search, I2=I(M-1), then go to step C, and let V(j)=V(j+1), A(j)=A(j+1), S(j)=S(j+1), I(j)=I(j+1), where j=0....(M-2), V(M-1)=V2; A(M-1)=A2; S(M-1)=S2; I(M-1)=I2, V1=V2, A1=A2, S1=S2, C1=C2, I1=I2, then go to step C; D. If i>1, then switch in capacitor C(i), output i, I2=i, initialize and resample, collect V2, A2, calculate S2=V2 / A2, and determine the value of S1 and S2 again; E. If S2>S1*(1+k2), then the system is transferring from capacitive region to inductive region, i=i-di, backward search, let V1=V2, A1=A2, S1=S2, C1=C2, I1=I2, if i<1, then initialize, otherwise go to step D; If S2<S1*(1-k1), the system is in inductive region and should increase the capacitor input, then let i=i+1, forward search, let V1=V2, A1=A2, S1=S2, C1=C2, I1=I2, then go to step B, If S1*(1-k1)=2, then i=i+1, forward search, let V1=V2, A1=A2, S1=S2, C1=C2, I1=I2, go to step B, if I2=I(M-1), then go to step D, and let V(j)=V(j+1), A(j)=A(j+1), S(j)=S(j+1), where j=0....(M-2), I(j)=I(j+1), where j=0....(M-2), V(M-1)=V2; A(M-1)=A2; S(M-1)=S2; I(M-1)=I2, go to step D.

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