节能减排下含风电场的发电商经济优化调度

Based on the energy saving and emission reduction policies, it is of important theoretical and practical significance to optimize the generation units considering the wind farms, and to reduce the power generation costs and energy consumption and pollutant discharge. However, the environment and the random factors of the wind power are extremely complex, and the related models and methods can not meet with the practical needs of the economic optimal dispatch for the Genco. Therefore, considering the energy saving and emission reduction policies, this project aims to establish economic optimal dispatch model with the environmental factors and its second order cone programming reformulations, and aims to propose the second order cone programming method and the interior point cutting plane algorithm based on special valid inequalities to solve the presented models. Using the ARMA model and GARCH model, this project is to establish the forecasting models for the wind speed and the wind generation output. On the basis of the wind power prediction, combining with the environment and random factors of the wind power, this project aims to build a chance constrained programming model for the economic optimal dispatch in wind power integrated system for the Genco and aims to present an outer approximation method for the proposed model. This project is to present economic optimal dispatch models in wind power integrated system for the Genco under energy saving and emission reduction and to study the solution methods, so as to provide decision-making basis and quantitative analysis tools for the Genco and the operation dispatch departments, and to expand the application of the optimization theory and methods in economic dispatch.

基于节能减排政策，优化调度包含风电场的发电机组，降低发电成本，减少能源消耗和污染物排放，具有重要的理论和现实意义。然而，环境和风电随机因素极其复杂，现有相关模型与方法无法满足含风电场的发电商经济优化调度的实际需要。为此，本项目结合节能减排政策，建立计及环境因素的发电商经济优化调度模型及其二阶锥规划模型，提出求解模型的二阶锥规划方法和基于特殊有效不等式的内点割平面法；利用ARMA模型和GARCH模型建立与风电场实际更加吻合的风速与风电功率预测模型；在风电预测的基础上，综合环境和风电随机因素，建立基于机会约束规划含风电场的发电商经济优化调度随机模型，并提出求解模型的外逼近法。本项目致力于建立节能减排下含风电场的发电商经济优化调度的理论模型，并深入研究模型的有效求解算法，以期为发电商和电力运行调度部门提供决策依据和定量分析工具，拓展优化理论与方法在经济调度中的应用。

本项目根据申报的研究内容圆满完成了各项研究计划。项目主要研究含风电场的发电商经济优化调度的模型与求解方法，涉及电力系统中的机组组合问题和最优潮流问题、含风电场的机组组合问题、排序问题及图的连通性问题，以及相关问题的有效求解方法。项目成果的创新之处有：建立了机组组合问题基于优先顺序的混合整数线性规划模型，建立了机组组合问题的二阶锥规划模型以及最小启停时间约束所有最小覆盖不等式的显式产生方法，建立了机组组合问题的提升投影混合整数规划模型。提出了求解机组组合问题的改进优先顺序邻域搜索算法、二阶锥规划松弛算法、割平面分支法、提升投影松弛算法、改进的Benders分解算法。然后，建立了含风电场机组组合问题的随机规划模型。提出一种新的求解凸混合整数二次规划的外逼近法，并证明该方法具有全局收敛性，且可用于求解含风电场的机组组合问题；提出了求解含风电场机组组合问题的邻域搜索算法、分解算法。其次，提出了求解最优潮流问题的零空间内点算法和并行多中心校正内点算法。. 项目成果体现于正式发表的13篇学术论文，部分成果刊登在《IEEE Transactions on Power Systems》、《Computers & Operations Research》、《International Journal of Electrical Power & Energy Systems》、《电工技术学报》等权威期刊，其中SCI收录5篇，EI收录2篇，中文核心4篇，圆满完成了预期指标。