Energy Dispatch of Decentralized Hybrid Power System

Adewale Zakariyahu Obaro

Abstract


The continuous geometric growth in energy demand coupled with high operation cost of power systems have made renewable energy sources (RES) more attractive. This paper presents an optimal design and energy management strategy of photovoltaic-diesel-battery (PDB) decentralized hybrid power system (DHPS) that minimizes operating costs and provides reliable power supply. The nonlinear objective cost function is formulated for the economic dispatch problem taking into consideration various operating constraints. The diesel generator (DG) minimum operation efficiency is expanded and solved using Newton-Quasi method. The DG is constrained to operate between the proposed minimum and rated efficiency during its operation in order to achieve desired load factor. Mixed integer nonlinear programming (MINLP) technique is explored to optimize the utilization of RES to reliable supply. A combined dispatch strategy which minimizes daily fuel consumption cost by the maximization of RES using a set of prioritized rules was developed and compared with the MINLP technique. The performance of the proposed combined strategy is validated by simulating the following operating scenarios: single household and community daily load profiles. The results show the effectiveness of the proposed combined dispatch algorithm as it reduces DG fuel consumption cost and improves supply reliability. Consequently, the effectiveness of these strategies encourages the integration of DHPS in remote and isolated communities

Keywords


photovoltaic-diesel-battery, decentralized hybrid power system, Newton-Quasi method, minimum operation efficiency, battery energy storage system, Energy dispatch strategy

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DOI (PDF): https://doi.org/10.20508/ijrer.v8i4.8406.g7518

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