Multi-objective Reliability-Oriented Optimal Energy and Reserve Management in Renewable-based Microgrids in Presence of Demand Response Programs
DOI:
https://doi.org/10.13052/jrss0974-8024.1814Keywords:
Microgrid, demand response programs, renewable generations, energy and reserve management, reliability, multi-objective optimizationAbstract
As utilization of renewable energy sources (RESs) and microgrids (MGs) grow, assessing their reliability becomes crucial in smart grid studies. This paper introduces a novel method for evaluating MG reliability in both islanded and grid-connected modes, addressing optimal energy and reserve management in renewable-based MGs. The introduced model is formulated as a multi-objective problem aimed at enhancing reliability while minimizing operating costs, incorporating various price-based (PB) and incentive-based demand response programs (DRPs). The presented framework is tested on a typical MG and to solve it, two multi-objective optimization techniques including Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) are used. Results indicate the effectiveness of proposed method in evaluating reliability and improving examined reliability indices.
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