I. INTRODUCTION
Although numerous research findings have been published relative to achieving additional energy savings for adjustable speed driven (ASD) induction machine (IM) loads, only recently the global industry has published governing energy efficiency standards such as EN 50598-2[1] and IEC 61800-9-1[2]. For voltages < 1kV and power ratings up to 1MW, they define the procedures and operating points for determining ASD system losses and energy efficiency classes. The predefined converters and systems are used to compare losses for categorizing energy efficiency classes. These standards have been gradually adopted by ASD and IM manufacturers in the European Committee of Manufacturers of Electrical Machines and Power Electronics (CEMEP) and the National Electrical Manufacturers Association (NEMA) in North America. Algorithms have been developed to operate under either field oriented control (FOC), direct torque control (DTC), or scalar Volts/Hz control mode. In each IM control mode, different strategies are proposed. A pioneering work patented in [3] proposed a method for maximizing power factor, in order to reduce IM input power. It was derived in [4] that the optimal IM slip for energy efficiency is higher than the slip at the minimum motor current, and is typically very close to the rated motor slip. Using motor current as a control variable rather than the input power, a scalar control was described in [5]. In [6], a power factor control, a model-based control, and a search control were implemented experimentally for both FOC and scalar motor drives. The effect of flux optimization with DTC was discussed in [7]. Expected savings using Volts/Hz loss minimization was studied in [8]. The energy efficiency outcomes from these publications vary significantly, partly due to a lack of industry standards to quantify their effectiveness in the past. The newly introduced EN 50598-2 and IEC 61800-9-1 standards make it possible now to evaluate complete drive module (CDM) and power drive system (PDS) losses and efficiency of an ASD driven IM load system, helping clarify which algorithm could be most advantageous in real world applications.
The new contributions and objectives of this paper are three folds:
(a). Categorize and analyze industry dominating energy efficiency algorithms in three groups:
(1). Scalar quadratic Volts/Hz control;
(2). Flux optimization in FOC;
(3). Scalar energy optimizing Volts/Hz control. Comparable experimental evaluations on energy efficiency performances are presented;
(b). Demonstrate that an energy optimizing Volts/Hz control can achieve good energy efficiency in practical applications;
(c). Present the comparable CDM and PDS energy efficiency results and data analytics under the frame work of EN 50598-2 and IEC 61800-9-1 Standards.
System descriptions with intrinsic energy saving potentials in variable torque (VT) mode are highlighted in Section II. In pump, fan and compressor applications, up to 70 percent of electricity costs can be saved through the use of efficient ASD technology. Using a baseline for energy efficiency comparison as a benchmark, theoretical models of three categorized algorithms and the governing standards are described in Section III. The quadratic Volts/Hz profile is easier to implement and can provide reduction on overall losses until the system becomes unstable in a higher load demanding scenario.
A digital simulation case study of a 7.5kW, 480V, 60Hz ASD and IM system is demonstrated to illustrate the quadratic Volts/Hz method’s limitation. The experimental implementation at an input power level of 400V, 50Hz, 7.6A, evaluation procedures, test results and data analytics are presented in Section IV for energy optimizing Volts/Hz control. The summary of contributions and conclusions is presented in Section V.
II. SYSTEM DESCRIPTIONS FOR ACHIEVING ENERGY EFFICIENCY OPTIMIZATION
The block diagram in Fig. 1.(a) shows the overall system architecture. The IM and fan/pump load are driven by an ASD, which controls the IM torque and speed. In the system energy efficiency optimization implementation, the ASD records IM currents and voltages, power consumption and speed. The ASD controller module takes these values as inputs, executes the energy efficiency optimization algorithm, which can be based on FOC or Volts/Hz control mode. The algorithm generates the PWM outputs from the ASD power structure to control the IM accordingly. Fig. 1.(b) is the per phase IM equivalent circuit in steady state operation, where:
Rs, Rr are stator and rotor resistances, s is IM slip ;
Lls, Llr are stator and rotor leakage inductances;
Lm, Rm represent magnetizing inductance and resistance; Vs, is, ir are stator voltage, stator and rotor currents.
Fig. 2 illustrates affinity laws governing VT fan and pump applications. For a given fan or pump geometry, Eq. (1) defines how flow, static pressure (SP), and power vary with two IM shaft speeds from
When the IM speed is reduced to 50% of the full speed, the mechanical power can decrease to approximately 12.5% of its original value, demonstrating the dramatic and inherent energy savings benefit of using an ASD, especially in VT applications.
III. ENERGY EFFICIENCY OPTIMIZATION ALGORITHMS AND INDUSTRY STANDARDS
A. Baseline Benchmark for Comparative Evaluation of Energy Efficiency Algorithms
In applications such as heating, ventilating and air conditioning (HVAC), scalar Volts/Hz control mode dominates the industry, due to its simplicity and economic benefits. But, a linear Volts/Hz curve typically provides a voltage higher than necessary, resulting in wasted energy, especially when the reference frequency is significantly lower than the rated frequency. IM core losses are mainly composed of losses caused by eddy current and hysteresis in the iron core, and are typically proportional to the square of the input voltage. Applying unnecessarily high voltage to the motor generates excessive motor core losses in the form of heat and noise. To quantify the effectiveness of energy efficiency optimization, the linear Volts/Hz is defined as a baseline, providing a benchmark for evaluating three different algorithms: (a). Scalar quadratic Volts/Hz curve; (b). Flux optimization based on FOC; (c). Scalar energy optimizing Volts/Hz control.
B. Scalar Quadratic Volts/Hz Algorithm
Most ASDs are equipped with this feature. The voltage output at any given frequency is lower than the voltage output based on the linear Volts/Hz curve, which tends to achieve a higher level of energy saving as long as the load demand is under control. When the IM load is higher than what the static voltage can sustain in a stable manner, this control method could result in system instability, higher IM output currents with overheating or stalling the IM altogether.
A case study is illustrated in Figs. 3 and 4, with an ASD driving a 7.5kW, 460V, 60Hz IM with a rated current of 12.9A, rated torque of 41.4NM, and rated speed of 1728RPM.
Since the IM parameters are required in this FOC method, the results can be sensitive to parameter variation over operating conditions and time. The computation burden is the highest among all methods described in this paper.
D. Scalar Energy Optimizing Volts/Hz Control Algorithm
In linear Volts/Hz mode, the maximum IM efficiency is typically at full load with rated slip. In VT applications such as HVAC or pumps, light load operation at lower speed is common. Two phenomena occur:
(1). The slip decreases further from its rated value as the load reduces;
(2). Even though the full IM torque is not required, the full magnetizing current still exists. It produces excessive magnetic field and reactive current that contribute to IM core and winding losses, generating heat and wasting energy.
In order to overcome the shortcomings of the linear Volts/Hz profile, an optimal approach can be implemented. Figs. 7 and 8 illustrate the energy optimizing Volts/Hz control concept. In Fig. 7, by keeping the same load torque Tr and speed Ȧr, while the IM voltage is reduced, the slip increases accordingly.
In the case of quadratic Volts/Hz, it could accomplish a similar goal in terms of improving IM efficiency, except that there is a stability and optimization limitation as described in Section III.(B). Fig.8 demonstrates two degrees of freedom (DOF) in the energy optimizing Volts/Hz control:
(a). Change IM output voltage (moving up and down);
(b). Change slip (moving left and right).
Very often, the slip can be increased to be near its rated value, and the voltage is adjusted to reduce the magnetic field and magnetizing current. The overall system can still meet the load requirements, and optimal energy efficiency is achieved while maintaining the IM system stability.
The theoretical explanation for the energy saving capability in Figs. 7 and 8 is analyzed. The IM shaft output power is expressed in Eq. (6), while the IM torque and slip are defined in Eq. (7). In this energy optimizing Volts/Hz control mode, the magnetizing current is minimized. Thus, neglecting Id and im due to a large Rm in Fig. 1(b), the rotor current is derived from complex vectors as in Eq. (8). The output power is calculated in Eq. (9). Furthermore, neglecting insignificant terms in Eqs. (8) and (9), the load current is proportional to the stator voltage Vs. Concurrently, Pout is proportional to Vs squared, which impacts the power consumption most notably.
Where Ȧrm is mechanical speed (rad/s), Ȧr is electrical speed (rad/s), s is IM slip.
The flowchart of the energy optimizing Volts/Hz is shown in Fig. 9. The system can start with a linear Volts/Hz profile, then during operation, IM data such as voltages, currents, speed and power can be acquired. With the objective to maximize the system energy efficiency, while meeting load requirements and maintaining stability, the energy optimizing Volts/Hz algorithm based on Figs. 7 and 8 is activated.
Other advantages of the scalar energy optimizing Volts/Hz control platform include:
(1). Plug and play with ease of use: It does not require user intervention due to the use of automatic adjustment;
(2). It is insensitive to IM parameter variation, as compared to the FOC based flux optimization method in Section III.(C);
(3). It is computationally efficient.
E. European EN 50598-2 Standard and International IEC 61800-9-1 Standard for Energy Efficiency
EN 50598-2 [1] was proposed by CEMEP. It defines energy efficiency indicators for CDM such as an ASD and PDS which is formed by CDM and motor load. The standard includes a methodology to determine the CDM and PDS losses, assigning the IE and IES values, which apply to motor driven equipment from 0.12 to 1,000 kW (100 to 1,000 V).
A reference motor is defined by mathematical equations and/or power losses, used as a basis for comparing with other motors. As such, it might not be an available product on the market, it might be a generally available product from all concerned manufacturers. It may be as simple as any motor which has the required voltage and power ratings, or the next preferred rating above that of the converter. An electronic load is a possibility to simplify testing.
IV. EXPERIMENTAL RESULTS AND ANALYSIS
A. Experimental Evaluation on Energy Saving Algorithms
For the 20HP, 480V, 60Hz system, the ASD delivers power to the IM, which in turn drives a size 24½ blower fan [11]. Taking the linear Volts/Hz control as a benchmark, three energy saving algorithms: quadratic, flux optimization and energy optimizing V/Hz control, as described in Section III, are implemented for a half load testing. At each operating mode, five adjustable frequency points are selected in the range between 30Hz and 55Hz. At each combination of frequency and operating mode, power consumption, temperature, IM speed, static pressure and atmospheric pressure are captured. Using linear Volts/Hz mode as a benchmark, it is demonstrated in Fig. 13 that the scalar Volts/Hz based energy efficiency optimization has larger energy savings than the other two methods.
Based on the test results, the energy optimizing Volts/Hz control mode is selected as the candidate for further evaluation under EN 50598-2 and IEC 61800-9-1 standards.
B. Experimental Setup in Accordance with EN 50598-2 Standard and IEC 61800-9-1 Standard
The ASD input and output powers are measured to evaluate the CDM efficiency and its IE class, while the ASD input power and mechanical shaft power output are recorded to quantify the PDS energy efficiency and its IES class. Fig. 14 illustrates the overall measurement system architecture, with the boundary definitions of ASD as a CDM, as well as a combined ASD and IM to form a PDS.
Table I is a subset of test load displacement factor between fundamental output current and fundamental output voltage at different points of operation in [1]. A reference IE2 IM of 4.6kW, 460V, 60Hz is chosen in order to meet the test requirement for compliance with the standards [1-2].
C. Experimental Results and Evaluation on IE Class of CDM
The experimental setup consists of a 400V, 50Hz, 7.6A ASD, a 4.6kW, 380V, 50Hz IM and a load control system. Since the ASD rated current is 7.6A, the actual IM load sits at 3.8kW at full load. Applicable to the operating conditions in the experimental setup, Table II specifies the reference CDM losses that are used in the IE energy efficiency classification evaluation. Where PrM , Sr- equ , Ir-out , PL- RCDM(90,100) are the reference CDM output power, apparent power, current, losses at 90% speed and 100% torque, respectively.
| Torque producing current (/%) | Test load displacement factor cos(ࢥ (for the apparent power range of 1,29kVA (0,75kW) to <7,94kVA (5,5kW) |
| 25 | 0.38 |
| 50 | 0.60 |
| 75 | 0.72 |
| 100 | 0.79 |
| PrM / kW | Sr- equ / kVA | Ir-out / A of the 400V RCDM | PL- RCDM(90,100) / % of Sr- equ | PL- RCDM(90,100) / W |
| 4 | 5.85 | 8.44 | 6.39 | 374 |
| Volts/Hz mode | PL- CDM(90,100) / kW | PL- CDM(90,100)' / PL- RCDM(90,100) | IE classification |
| Linear | 0.098 | 0.291 < 0.75 | 2 |
| Optimized | 0.093 | 0.276 < 0.75 | 2 |
Fig. 16 shows the baseline linear Volts/Hz CDM energy efficiency contour map with variations of IM speed from 10% to 100%, and load torque from 25% to 100%. The highest efficiency (>97%) is at near full load and speed, and the lowest of 74.5% is at 10% speed, 25% load.
D. Experimental Results and Evaluation on IES Class of PDS Both the ASD and IM losses are considered in the PDS. The reference IM meets the load power factor requirement in Table I. Additionally, Table IV defines the reference motor losses at the tested power level. The measured IM losses at the subjected operating point are 521W. Thus, the reference IM also satisfies the IE2 motor loss definition in Table IV, even after including the switching losses due to the ASD non-sinusoidal output waveforms. PL- RM(100,100) is the reference motor losses at 100% rated torque and speed.
| Pn / kW | PL- RM(100,100) / W |
| 4 | 712 |
| PrM / kW | PL- RPDS(100,100) / % of PrM | PL- RPDS(100,100) / W |
| 4 | 29.11 | 1164 |
| Volts/Hz mode | PL- RPDS(100,100) / kW | PL- RPDS(100,100)' / PL- RPDS(100,100) | IES classification |
| Linear | 0.522 | 0.472 < 0.80 | 2 |
| Optimized | 0.518 | 0.468 < 0.80 | 2 |
In the above configurations, the CDM IE classification is calculated as IE2, and the PDS IES classification is determined as IES2. The CDM IE and PDS IES classification results are independent of energy saving features of the ASD.
V. CONCLUSIONS
In this paper, the industry adopted energy saving algorithms are categorized into three groups: scalar quadratic Volts/Hz control, flux optimization in FOC or DTC, and energy optimizing Volts/Hz algorithm. The test results at half load between 30Hz to 55Hz IM speed illustrates a portion of their energy saving comparisons. Because of the ease of use and effectiveness in VT applications, the energy optimizing Volts/Hz algorithm has been selected for evaluation under EN 50598-2 and International IEC 61800-9-1 Standards. The relationship among three variables of system efficiency, IM speed, and load level is evaluated in the trend studies using 2D and 3D contour surfaces analysis. A summary of contributions and conclusions to be drawn from this paper includes the following: