7The total power consumption of the plants of Hitachi Consumer Products (Thailand), Ltd. is estimated to be 10 MW during working days (Monday to Friday). The floating solar site is expected to generate 8 MWp of that 10 MW load, with the remaining 2 MW to be supplied by the national grid.During commissioning, however, Yokogawa’s commis-sioning team found that on Sundays when the factories are closed, and from 11:00 am to 2:00 pm during the lunch break on working days, the power consumption falls to 2 MW. During these periods, power generation far exceeds power demand, resulting in excess power flow on the transmission line and causing the circuit breaker to trip frequently. As a result, TSE was losing the opportunity to sell electricity to Hitachi during those trips, making the solar power plant less efficient.Immediately after advising TSE of this challenge, Yokogawa Thailand worked closely with TSE and the engineering, procurement and construction contractor (EPC) to add an algorithm for tuning the inverters as quickly as needed to prevent tripping of the breaker. Yokogawa FA-M3 and e-RT3 enabled stable two-way data communication, quick ramp rate tuning, and swift response to inverters, helping to optimize plant operation and increase plant efficiency.The Challenges and the SolutionsTSE faced the intermittent power supply profile of solar power generation which did not match the load profiles, causing frequent power trips and reductions in plant efficiency. Yokogawa Thailand proposed to implement a new CPU-based Python-programmable PLC to communicate with inverters and meters to collect data from the field and deliver it to the supervisory control and data acquisition system (SCADA, now the CI Server is used). Communication in Python enables more stable and quicker data retrieval compared to Modbus communication. Besides, the included sequence CPU enables inverter data processing and executes power limit calculations.Thai Solar Energy
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