Multi-layer optimization for grid-connected micro-grid power planning considering metabolic capacity

DOI

10.2991/icmmct-17.2017.262How to use a DOI?

Keywords

Wind / solar/ storage micro-grid ;Power planning; Multi-layer optimization; Immune Particle Swarm Optimization IPSO Life Cycle Cost(LCC);Metabolic Capacity level MCL

Abstract

Optimizing the energy structure ensuring the reliability of power supply and improving the utilization of renewable energy sources are the primary objectives of micro-grid power planning. This paper takes wind / light/ storage micro- grid as an example , defines the concept of metabolic capacity to describe the ability of renewable utilization in a micro- grid, presents a new multi-layer optimization method to study the life-cycle cost of a micro-grid planning. The upper layer optimizes the type, the capacity, and allocation combinations of micro-grid power sources; The middle layer optimizes the system operation considering the network subsidy policy which State Grid newly carried out and the real-time electricity prices synthetically; The lower layer calculates the cost of micro-grid reliability cost based on reliability cost-benefit analysis. A modified Immune Particle Swarm Algorithm is designed to optimize the proposed three layer goals. As examples results shown, the proposed multi-layer optimization strategy and the Immune Particle Swarm Algorithm are very effective to coordinate the relationship in depth among the factors of economy, reliability and economic dispatch during micro- grid planning, it reduces the redundant investment micro-grid power supply efficiently, meanwhile ,increases the use of renewable energy and guarantees the system reliability .

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li-jun Yang
AU  - Ming Wang
AU  - Kai-ting Huang
AU  - Zhao Zhang
AU  - Li-ming An
PY  - 2017/04
DA  - 2017/04
TI  - Multi-layer optimization for grid-connected micro-grid power planning considering metabolic capacity
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1360
EP  - 1367
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.262
DO  - 10.2991/icmmct-17.2017.262
ID  - Yang2017/04
ER  -