# Wireless Data Acquisition System with Feedback Function  
[PERSON]  
Electrical Engineering and Automation Department, Toraghyrov University, Lomov Str. 64, Pavlodar 140008, Kazakhstan; [EMAIL_ADDRESS] (A.M.); [EMAIL_ADDRESS] (A.K. ); [EMAIL_ADDRESS] (O.T. ); [EMAIL_ADDRESS] (A.M.)  
[PERSON]  
1202020202121 June 2024202021202  
for as long as possible. The battery depth of discharge (DOD) is close to 100% and cannot be significantly limited by controller settings. The service life of even the best modern batteries is reduced several times in this case. The family of typical DOD curves for CHALLENGER G12-200 (Ritar International Group. Hengyang, Hunan, China) batteries is shown in Appendix A. In the case of a GEPP located in a populated area, the depth of discharge of the batteries can be limited without harm to consumers by transferring them to power from the utility network upon reaching a DOD level acceptable in terms of service life. In addition, if there is an excess of wind and/or solar energy, additional electrical loads can be connected to GEPPs located near inhabited buildings, as described further in Section 2, and thus increase the efficiency of using free natural energy. It is obvious that standard GEPP equipment and the algorithms embedded in it do not allow us to implement the proposed improvements in low-power GEPPs located near inhabited buildings, even taking into account the possibility of custom settings of standard controllers. This requires the development of additional hardware and software. Criteria for setting up these additional tools can only be developed based on a detailed analysis of monitoring data for the operation of a specific GEPP. The purpose of this study is to develop a wireless data acquisition system (DAS) for the operation of low-power solar power plants (up to 10-20 kW) with a feedback function to prevent material damage from the failure of power equipment and to improve the efficiency of natural energy use. The set goals can be achieved as follows:  
* Due to the timely prevention of the consequences of emergency conditions by organizing an automatic feedback response of the data collection system to the incorrect operation of the standard equipment of the SWPP;
* By automatically switching, using feedback, part of the SWPP loads from power from the public electrical network to power from natural energy when there is an excess of it and vice versa when there is a lack of it;
* By identifying abnormal and ineffective operating modes of equipment by analyzing the results of monitoring the main parameters of the functioning of the SWPP. An analysis of the monitoring data accumulated over a long period of time will make it possible in the future to further improve the equipment and algorithms for controlling the functioning of the SWPP and to tailor them to work together with existing utility power supply networks. The need to develop a data collection system for monitoring the operation of \"Green Energy\" power plants has been repeatedly substantiated previously, for example, in [7; 8; 9; 10; 11; 12; 13; 14; 15; 16; 17; 18; 19; 20; 21; 22; 23; 24; 25; 26; 27]. Thus, further research in the field of improving DASs for GEPPs is currently necessary and is an urgent task. For these reasons, great efforts are being made in the development of methods for monitoring the operation of \"Green Energy\" power plants by the scientific community. The results of the current study can serve as the basis for improving the algorithms for the operation of low-power \"Green Energy\" power plants located in populated areas. The following data transmission channels are used in GEPP operation monitoring systems:  
1. Wired channels, which have two subcategories: 1. Coaxial cables or twisted pairs [9; 10; 11; 12]. 2. Fiber optic cables [13; 14; 15]. 3. Power line communication (PLC) [16; 17]. 4. Wireless connection [18; 19; 20; 21; 22; 23; 24; 25; 26; 27].