Driven by the power system deregulation and internet of energy, the interaction within the general uncertainties and all participants with different objectives in the interconnected microgrids makes the energy management more and more complex. First, the game theory is used to clarify the interactive behavior characteristics of microgrids and the interconnection parts in the background of the electricity market environment. By revealing the game mechanism among micro grids and among micro-elements within a single micro grid, the multi-participant synergy law is researched and obtained. On this basis, we study and quantify the characteristics of loads and output of renewable energy resources with confidence degree. Furthermore, power imbalance risk index is proposed in order to build the multi-participant synergy model of the interconnected microgrids. Combining model predictive control strategy and forecasting methods for renewable energy generation and load, convex optimization algorithm is researched and used to develop the energy management optimization method. Finally, by means of information transmission, a distributed optimization algorithm for energy management of the interconnected microgrids is built. As a result of considering overall and local interests, the interconnected microgrids can operate in an efficient and synergy manner. The research of this project can provide a new way for the energy optimization of the interconnected microgrids in China and promote the development of the interconnected microgrids.
在电力体制改革和能源互联的推动下,互联微电网的能量管理日趋复杂的主要原因是互联微电网中目标不一的多个利益主体和广泛存在的不确定性因素及其相互作用。本项目应用博弈理论分析互联微电网及各组成微元在电力市场环境下的交互行为特性,探究电力市场环境下单个微电网内部各微元之间、多个微电网之间的博弈机制;在此基础上,研究并揭示互联微电网多主体协同作用机理,结合置信水平测度研究可再生能源出力和负荷特性的量化分析方法,提出互联微电网功率失衡风险指标,建立计及失衡风险的互联微电网多主体协同模型;结合模型预测控制策略以及可再生能源发电和负荷预测方法,研究适用于互联微电网协同能量管理优化的凸优化方法,并通过信息传递的方式,构造分布式协同能量管理优化算法,兼顾互联微电网整体和局部利益,实现互联微电网的高效协同运行。本项目的研究可为我国互联微电网能量优化提供一条新颖的思路和途径,促进互联微电网的发展。
在电力体制改革和能源互联的推动下,互联微电网的能量管理日趋复杂的主要原因是互联微电网中目标不一的多个利益主体和广泛存在的不确定性因素及其相互作用。本项目以互联微电网能量管理优化为对象,分析互联微电网的交互行为特性,探究其博弈机制,在此基础上,研究互联微电网多主体协同作用机理,建立计及失衡风险的互联微电网多主体协同模型;结合模型预测控制策略以及可再生能源发电和负荷预测方法,研究互联微电网协同能量管理优化方法。
{{i.achievement_title}}
数据更新时间:2023-05-31
监管的非对称性、盈余管理模式选择与证监会执法效率?
粗颗粒土的静止土压力系数非线性分析与计算方法
黄河流域水资源利用时空演变特征及驱动要素
1例脊肌萎缩症伴脊柱侧凸患儿后路脊柱矫形术的麻醉护理配合
基于LASSO-SVMR模型城市生活需水量的预测
层级式互联微电网协同增效机理与能量综合管理优化方法
微电网群体系架构及能量协同优化运行的SoS方法研究
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
基于多主体协同的航班干扰管理决策优化建模方法研究