新能源城市电网中分布式能源与电动汽车接入的时空特性及统一实时调度方法

The clean energy city characterized by distributed energy and electric vehicles has become the trends of future urban development, how to take use of these resources unified and coordinately is an important challenge the clean energy city power grid facing. The distributed energy, electric vehicles within the clean energy city power grid have some characteristics, include various dispatching resource type, large quantity, geographically dispersed, and strict requirement of real time response, all these make coordinately dispatching these resources very difficult.Under this background, this project will study the unique spatial and temporal characteristics of the clean energies in the city so as to get the multi-time scale joint distribution of power. Based on this, we will divide the space region using key groups, decompose all the time scale for the iterative computation, and established the Space-Time coordination dispatching model. According to real-time requirement，this project research the parallel computing and optimization method which is suitable for GPU / CPU characteristics so as to improve the real-time level of the system. The project adopt domestic meteorological data of different cities, the power system dispatching data, electric vehicle running data to do analysis test, so as to get more closer to the realistic environment, also by doing this, we can solve related science and technology issues, and establish a unified real-time dispatching theoretical system and tool of the clean energy city power grid, so this can be used to guide and promote the development of clean energy urban construction.

以分布式能源和电动汽车为主要特征的新能源城市已经成为未来城市发展的趋势，如何统一协调地利用这些资源也是新能源城市电网面临的重要挑战。而新能源城市电网内分布式能源、电动汽车等构成的可调度资源类型多、数量大、位置分散、特性不一、实时性要求高，使得统一协调调度这些资源难度大。本项目即是在这一背景下，针对新能源城市独特的时空特性进行分析研究，以得到的多时间尺度的功率联合分布。依次为基础，在空间上以关键机群进行区域分割，在时间上分解各时间尺度迭代计算，建立时空二维协调的调度模型和方法。针对实时性要求，研究适合GPU/CPU特点的并行计算和优化求解方法，以提高系统实时性。同时本项目全面采用国内城市气象数据、电网调度数据、电动汽车示范运行数据等真实数据进行分析测试，力求接近真实环境，解决相关科学与技术问题，建立起新能源城市电网统一实时调度理论及工具来指导系统运行调度，推动新能源城市建设发展。

以分布式能源和电动汽车为主要特征的新能源城市已经成为未来城市发展的趋势，如何统一协调地利用这些资源也是新能源城市电网面临的重要挑战。而新能源城市电网内分布式能源、电动汽车等构成的可调度资源类型多、数量大、位置分散、特性不一、实时性要求高，使得统一协调调度这些资源难度大。本项目即是在这一背景下，针对新能源城市独特的时空特性进行分析研究，以得到的多时间尺度的功率联合分布。依次为基础，在空间上以关键机群进行区域分割，在时间上分解各时间尺度迭代计算，建立时空二维协调的调度模型和方法。针对实时性要求，研究适合GPU/CPU特点的并行计算和优化求解方法，以提高系统实时性。同时本项目全面采用国内城市气象数据、电网调度数据、电动汽车示范运行数据等真实数据进行分析测试，力求接近真实环境，解决相关科学与技术问题，建立起新能源城市电网统一实时调度理论及工具来指导系统运行调度，推动新能源城市建设发展。