基于PSO的多约束条件下的微电网资源优化配置
Optimization of Micro-Grid Resources Based on PSO Multi-Constraints
摘要:
本文针对智能电网能量规划在多目标多约束条件下的优化问题，利用粒子群算法(PSO)对风光储(风电、光伏、储能)微电网系统进行能量优化调度。建立了各个分布式发电单元的典型能量优化数学模型，仿真算例说明，通过优化调度实现微电网中动态资源优化配置是可行的，满足限制条件的前提下可使得微电网资源利用经济效益最大化，有效提升微电网运行的可靠性和经济性。
Abstract:
In this paper, PSO is used to optimize the microgrid composed of wind, PV and battery system for the optimization problem of intelligent grid energy planning under multi-objective and multi- constraint conditions. The typical energy optimization mathematical model of each distributed power generation unit is established. The simulation results show that it is feasible to optimize the dynamic resource in the microgrid by optimizing the scheduling, which can maximize the economic benefit of the microgrid resources under the premise of satisfying the restriction condition, effectively enhance the reliability and economy of micro-grid operation.
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