分时电价机制下含蓄电池微网的优化调度

发布时间：2018-05-09 20:25

本文选题：微网 + 优化调度　；参考：《电网技术》2015年05期

【摘要】：为解决分时电价机制下含蓄电池微网的优化调度问题,提出一种实用的启发式微网实时优化调度策略。该策略根据分时电价机制的特点,考虑蓄电池荷电状态对其折旧费用和最大充、放电速率的影响,对蓄电池按照事先制定的规则进行充、放电,采用量子粒子群算法优化微电源出力及微网与大电网间的功率交互,引导微网对大电网削峰填谷,实现微网与大电网互利共赢。启发式规则的引入有助于科学使用蓄电池,显著提高程序的运行速度,更好地满足实时调度要求。最后以一个典型微网系统的日调度安排为例,验证了策略和模型的合理性。
[Abstract]:In order to solve the problem of optimal scheduling of microgrid with battery under time-sharing pricing mechanism, a practical heuristic real-time optimal scheduling strategy for micro-grid is proposed. According to the characteristics of time-sharing pricing mechanism, the strategy considers the effect of charging state on depreciation cost, maximum charge and discharge rate, and charges and discharges the battery according to the rules made in advance. Quantum Particle Swarm Optimization (QPSO) is used to optimize the power output of microgrid and the power interaction between microgrid and large power grid to guide the micro-grid to cut the peak and fill the valley to realize the mutual benefit of micro-grid and large grid. The introduction of heuristic rules is helpful to use batteries scientifically, improve the running speed of programs, and meet the requirements of real-time scheduling. Finally, the rationality of the policy and model is verified by an example of the daily scheduling of a typical microgrid system.
【作者单位】：广东工业大学自动化学院;广东电网有限责任公司江门供电局;
【基金】：广东省自然科学基金项目(2014A030313509,S2013010012431,S2013040013776)
【分类号】：TM73;TM912

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