基于混杂Petri网的微电网需求侧能量管理在线优化方法研究

Microgrids give full play to the renewable energy distributed generation advantages, and are the developing trends to realize its seamless access to grid. Online optimization of the microgrid energy management needs to develop a optimization system running program in the next period of time to minimize the system operating costs and improve system energy use efficiency. This is a key issue need to be solved urgently in the current microgird research areas. The project begins from the analysis of the hybrid behavior characteristics of the microgrid. A event-driven continuous hybrid Petri nets are developed to describe the dynamic changes of the microgrid state, and are used as the optimization model for the microgrid energy optimization management. Ensuring the future energy balance between supply and demand and the safe operation of the system components are treated as the constraint conditions. Micro-power sources and energy storage devices' power output setting sequence in the next period of time are treated as optimization variables.The optimization objective functions are the system running cost minimization and energy efficiency maximization. In changing environment, particle Swarm optimization algorithm is used to realize the microgrid demand side energy management dynamic constrained multi-objective optimization. The effects of the energy efficiency under different energy management strategies and various cost factors on the optimized results are explored. The project can effectively promote the microgrid to achieve economical and effective running, which conforms microgrid technology developing trends

微电网在充分发挥可再生能源分布式发电优势的同时，也是解决其无缝接入大电网的发展趋势。对微电网的能量进行在线优化管理，制定系统未来一段时间内的最优运行方案，最大程度地降低系统运行成本和提高系统能源利用效率，是当前微电网研究领域一个急待解决的关键问题。本项目从研究和分析微电网的混杂行为特征入手，建立由事件驱动的连续型混杂Petri网，描述微电网状态的动态变迁，为微电网能源优化管理提供优化模型；以保证未来一段时间内能源供需平衡和系统元件安全运行为约束，以微电源和储能装置未来一段时间内的功率输出设定值序列为优化变量，以运行成本最小化和能源利用效率最大化为目标，在不断变化的环境下，采用粒子群优化算法PSO实现微电网需求侧能源管理的动态约束多目标优化，并探究不同能源管理策略下的能源利用效率和各类成本因素对优化结果的影响程度。本项目的研究可有力促进实现微电网经济且有效的运行，顺应了微电网技术的发展趋势。

微电网能量的在线优化管理是当前微电网研究领域的一个关键问题。本项目利用Petri网和模糊认知图描述微电网的混杂行为，通过粒子群优化算法对能源调度进行动态约束多目标优化，研究了微电网需求侧能源调度管理在线优化方法。1)研究和分析微电网的混杂行为特征，建立描述微电网结构和离散工作模式变迁的Petri网和描述连续电源系统出力变化的模糊认知图，结合二者构建由事件驱动的连续型混杂Petri网，描述微电网状态的动态变迁，设计了微电网能量管理动态优化方案；2）研究了基于粒子群优化方法的微电网能源调度管理约束下多目标优化方法，利用层次分析法建立调度方案的综合评估体系，从而改善微电网调度管理决策；3）基于混杂Petri微电网的能源在线调度优化方法的验证工作正在进行。本研究为解决微电网的在线能源优化调度管理提供了一种解决方案，可有力促进实现微电网经济且有效的运行。项目资助发表论文9篇，授权发明专利6项，其中项目主持人作为第一发明人4项；培养硕士生3名，其中2名已经取得硕士学位，1名在读。