Application of Linear Programming for Optimal Allocation of a Diesel- PV Hybrid Power System

Sandip Bordoloi, Suman Barman, Kaustav Medhi, Ankur Kalita, Jyotirmay Das

Abstract


To address escalating electricity prices and more frequent power cuts in developing countries, hybrid energy systems, including solar and diesel generation, are being installed to ensure reliability and reduce costs. Linear programming can size hybrid systems for operation and cost-effectiveness. Linear programming helps determine the optimal dispatch strategy to improve system reliability, reduce emissions, and lower the associated costs in hybrid generation networks through the formative articulation of objective functions and constraints. The work presented in this paper shows the application of linear programming as an efficient optimization tool for solving an allocation problem involving a hybrid power system problem. Eight load points will be allocated to eight hybrid power sources involving diesel generators and a solar photovoltaic (PV) system. By solving the linear programming, it is shown that the optimal allocation of the power to the load can be done using diesel generators alone or using hybrid power generators, i.e., by using solar power generators along with diesel generators.  The allocation algorithm can efficiently allocate the hybrid power generators to the load, thereby helping mitigate power loss and ill effects of pollution from diesel generators.

Keywords


Optimization; Linear programming; Diesel generators; Solar PV; Hybrid system

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References


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