发电与负荷的互动组合优化理论与方法研究

项目名称： 发电与负荷的互动组合优化理论与方法研究

项目编号： No.51407100

项目类型： 青年科学基金项目

立项/批准年度： 2015

项目学科： 电气科学与工程学科

项目作者： 钟海旺

作者单位： 清华大学

项目金额： 10万元

中文摘要： 智能电网的核心特征是互动，通过负荷与负荷之间、负荷与电源之间的互动配合，将显著提升电力资产利用率，促进新能源发电上网消纳。为此，本项目将研究发电与负荷的互动组合优化理论与方法。针对负荷用电方式的个性化与差异化，科学抽象为典型的互动方式，构建包容性强、规范化的互动负荷模型；内嵌网络损耗，考虑无功电压等复杂电网运行约束，建立发电与负荷的互动组合优化模型；针对这一大规模混合整数非线性规划问题，提出递进式寻优的高效求解框架，研究凸化等模型转换方法，建立原模型的伴随模型；根据伴随模型的最优解，研究原模型初始可行解快速获取方法；探索热启动求解技术，实现原模型的高效求解；研究发电与负荷互动组合优化的效益评估方法，全方位、深层次、多维度地评估发电与负荷互动组合优化的效益，并基于我国电网的实际数据进行实证分析。项目研究成果将为深度推进节能减排和智能电网的全面互动提供基础理论支撑与关键性技术。

中文关键词： 智能电网；互动负荷；组合优化；递进式寻优；效益评估

英文摘要： The key feature of smart grids is interaction. The load-load and load-source interaction can make the most of the grid assets and accommodate more renewable energy. This project will study the theories and methods of interactive combinatorial optimization of generation and load (ICOGL). The individualized and differentiated properties of loads are firstly abstracted to typical interaction patterns. An inclusive and standard model of interactive loads is then formulated. The mathematical model of ICOGL is formulated with embedded network losses, considering complicated grid operating constraints such as reactive power and nodal voltages. To solve such a large-scale mixed-integer non-linear programming (MINLP) problem, a highly efficient solution framework with progressive optimization will be proposed. The model transformation method such as convexification will be studied and the adjoin model will then be formulated. Based upon the optimum of the adjoin model, a method of acquiring the initial feasible solution for the original model will be investigated. After that, the warm-start technique will be investigated to realize the efficient solution of the original model. The benefit evaluation method of ICOGL will be proposed, based on which the omnibearing, in-depth and multi-dimension assessment of the benefit br

英文关键词： Smart Grid；Interactive Load；Combinatorial Optimization；Progressive Optimization；Benefit Evaluation