The Expansion Planning of Wind-Thermal Co-generation System Based on Harmony Search Algorithm under Smart Grid

Yonggang Li, W. Dong, Xiaoning Feng, Minghui Zhang
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引用次数: 3

Abstract

Under Smart Grid circumstance, the problem that the large grid system is difficult to schedule can be solved by the micro-grid. Meanwhile, the shortage of traditional energy makes the demand-supply gap enlarge and renewable energy will become the primary energy supply in the future. Therefore, the study on how to expand renewable energy in the co-generation system in micro-grid is of great significant and valuable. In this paper, the minimum total cost of the expansion plan and the improvement of micro-grid reliability are taken as the optimal goal. The expansion planning model of the wind-thermal co-generation system is established, which uses the Harmony Search (HS) and the Genetic Algorithm (GA) to simulate a micro-grid with five nodes in a decade respectively. The comparison results of the simulation results show that the expansion planning model of the co-generation system with the HS method is more feasible and effective than that with GA. Through the research on the expansion planning of wind-thermal co-generation system, it can provide the decision support and reference for the long-term expansion planning of co-generation system in micro-grid under the Smart Grid.
智能电网下基于和谐搜索算法的风热电联产系统扩容规划
在智能电网环境下,大电网系统调度困难的问题可以通过微电网来解决。同时,传统能源的短缺使供需缺口扩大,可再生能源将成为未来的主要能源供应。因此,研究如何在微网热电联产系统中扩容可再生能源具有重要的意义和价值。本文以扩容方案总成本最小和提高微网可靠性为最优目标。建立了风热电联产系统扩展规划模型,分别采用和谐搜索(HS)和遗传算法(GA)对10年5节点微电网进行了模拟。仿真结果的对比表明,采用HS方法建立的热电联产系统扩容规划模型比采用遗传算法建立的模型更为可行和有效。通过对风热电联产系统扩容规划的研究,可以为智能电网下微网热电联产系统的长期扩容规划提供决策支持和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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