UNIT COMMITMENT FOR OPTIMALIZATION DIESEL GENERATOR IN HYBRID SYSTEM USING DYNAMIC PROGRAMMING

• Main Author: Surya Wardhana, Ibnu
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86843
• Institution: Institut Teknologi Bandung

A hybrid system has many integrated generators, including thermal and renewable energy sources. This study was conducted in Temajuk Village, Paloh District, Sambas Regency, West Kalimantan Province. In Temajuk Village, power demands are met by a hybrid system including a Diesel Power Plant (PLTD) and a Solar Power Plant (PLTS). Temajuk PLTD comprises three engines: the DAFF engine with a capacity of 80 kW, the DEUTZ 5 engine with a capacity of 140 kW, and the DEUTZ 5 unit 2 with a capacity of 165 kW. Simultaneously, PLTS Temajuk have a capacity of 370 kWp. The maximum load recorded in Temajuk was 227 kW. The Temajuk hybrid system continues to function semi-automatically, necessitating human oversight and decision-making for its functioning. PLTS functions autonomously with pre-established parameter configurations (irradiance, battery state of charge, battery voltage, operational mode). Simultaneously, in PLTD operations, the operator continues to initiate and halt the engine, establish engine operating priority, decide operating modes, and adjust load settings. Solar Power Plant, as a sustainable energy source, is anticipated to diminish operational expenses due to its acquisition of primary energy at no cost. Nonetheless, photovoltaic solar technology (PLTS) has limitations, including the inherent intermittency of renewable energy, as PLTS cannot consistently provide power due to its reliance on sunlight exposure. Although PLTS is equipped with a Battery Energy Storage System (BESS), its capacity is insufficient to supply long-term electrical demands consistently. PLTD serves as an alternate and backup when PLTS can only fulfill system requirements intermittently or is entirely incapacitated (PLTS off). iv Effective management of PLTD operations is essential, as the cost of electricity generation by PLTD is comparatively higher than that of other power plants due to its significant reliance on fuel oil (BBM). The PLTD operational model, as an alternative to PLTS in Temajuk, continues to be managed by operators. In the absence of a Standard Operating Procedure (SOP) for the efficient operation of diesel engines, it is essential to consider the specific fuel consumption (SFC) of each engine while ensuring the continuity of supply for the system. In order to find the best ways to reduce fuel expenses from PLTD in Temajuk, the author tries to describe Dynamic Programming (DP) as an optimization approach for Unit Commitment (UC) issues. The goal is to find the operating patterns of PLTD at given loads for hybrid systems in Temajuk. This research focuses on the regulation of diesel engine operation, specifically how the excess energy from PLTS is utilized to fulfill Temajuk's electrical demands. For this study, the author modeled and solved UC issues using googlecolab tools in Python protocol. Using the DP approach to identify the operating pattern can cut fuel usage, according to simulations. Scheduling which diesel engine will run and the most optimal supply size (lowest SFC) provided by the diesel engine in response to the system load is the operating pattern that emerges from calculations utilizing the DP technique. The operational readiness of all diesel engine units must be taken into account when applying the simulation results. This means that the diesel engine must be in top condition and all parameters must indicate that it is ready to function. With any luck, the study's findings will suggest some new ideas that may be included into Temajuk's hybrid system to cut down on fuel usage. Also, the author is crossing their fingers that this study can help shed light on and provide a reason for resolving comparable issues elsewhere.