Research on Electrical Engineering with a Multi Energy-Type Coordinated Micro-Grid Day-Ahead Scheduling Strategy Based on IPSO Algorithm

Abstract:

This paper establishes a micro-grid (MG) model containing a variety of distributed energies, battery, combined cooling, heating and power (CCHP) and so on, and puts forward a method using improved PSO (IPSO) algorithm for a multi energy-type coordinated MG day-ahead scheduling. One day is divided into two time periods, including time of peak period (TOP) and time of valley period (TOV). According to the scheduled time period and state of charge (SOC) of the storage units, different types of scheduling strategies are adopted. Based on the standard PSO algorithm, improved PSO algorithm proposed in this paper increases the parameter of particle volume and improves the inertia weight, which inhibits premature and does better in global searching. Through a few simulation experiments, it proves that this scheduling strategy has the following three advantages. Firstly, it enhances the reliability of MG. Secondly, it achieves the goal of load shifting in the main grid. At last, this strategy reduces the operation cost of a MG obviously.

• Periodical: Advanced Materials Research (Volume 1003)
• Pages: 119-123
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1003.119
• Online since: July 2014
• Authors: Cheng Jia Ma*, Jian Xu Lu
• Keywords: Energy Scheduling, IPSO Algorithm, Microgrids (MGs), Multi Energy-Type, Optimization

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