考虑多利益主体参与的主动配电网双层联合优化调度

发布时间：2018-05-29 09:04

本文选题：主动配电网 + 独立利益主体　；参考：《中国电机工程学报》2017年12期

【摘要】：随着电力市场改革,配电网中大量的分布式电源由用户或新能源供应商建设,改变了分布式电源所有权归电网所有的供电模式。在电网运行中,分布式电源拥有者以自身收益最大为目标,发用电不受电网统一调度,形成了独立的利益主体。因此,以电网收益最大为目标的传统调度方式将不再适应于含多利益主体的电网运行新环境。该文以独立利益主体与配电网的联合运行效益最优为目标,提出了虚拟微网的概念,通过构建主动配电网联合优化调度平台,建立了独立利益主体与配电网的双层优化模型;下层进行各利益主体的独立优化,上层协调优化各利益主体与配电网的功率冲突;提出了细胞膜粒子群优化算法(cell membrane-improved particle swarm optimization,C-PSO)新型并行混合算法,基于改进的IEEE 14节点配电网,展示了算法的有效性与模型的可行性。
[Abstract]:With the reform of the power market, a large number of distributed power sources in the distribution network are built by users or new energy suppliers, which changes the power supply mode in which the ownership of distributed generation is owned by the network. In the operation of the power network, the owner of distributed power generation takes the maximum profit as the goal, and the power generation and power generation is not subject to the unified dispatch of the power grid, thus forming an independent interest main body. Therefore, the traditional dispatching mode, which aims at maximizing the revenue of power grid, will no longer be suitable for the new environment of power grid operation with multi-interest agents. In this paper, the concept of virtual microgrid is put forward, aiming at the optimal joint operation benefit of the independent interest main body and the distribution network. By constructing the joint optimal dispatching platform of the active distribution network, the two-layer optimization model between the independent interest main body and the distribution network is established. The lower layer carries on the independent optimization of each interest body, the upper layer coordinates and optimizes the power conflict between the various stakeholders and the distribution network, and proposes a novel parallel hybrid algorithm, the cell membrane-improved particle swarm optimization C-PSO, which is based on the cell membrane particle swarm optimization (PSO) algorithm. Based on the improved IEEE 14 bus distribution network, the validity of the algorithm and the feasibility of the model are demonstrated.
【作者单位】：华北电力大学电气与电子工程学院;
【基金】：国家自然科学基金项目(51577058)~~
【分类号】：TM73

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