多能互补微网鲁棒多目标运行优化

发布时间：2018-01-14 21:07

  本文关键词：多能互补微网鲁棒多目标运行优化　出处：《山东大学》2017年博士论文　论文类型：学位论文

  更多相关文章： 微网 运行优化 鲁棒优化 多目标优化 需求响应 能量调度 交叉熵算法

【摘要】：多能互补微网是体现新型电力能源技术发展水平以及探索能源与经济、社会、环境和谐发展道路的重要研究课题。基于能量调度的微网运行优化可以促进不同能源形式相互融合和降低能源生产成本,因此成为多能互补微网发展的关键技术。然而,面对外界复杂的运行环境和内部多能量流耦合等系统特征,以稳定性、经济性和环境友好为综合优化目标的多能互补微网运行问题仍需要进行深入研究。本文针对涉及可再生能源和负荷多重不确定性、经济与环境多重优化目标、需求响应机制等情况下的多能互补微网运行优化这一复杂问题,以包含光伏发电、冷热电联供单元、地源热泵、蓄电池和负荷的并网型多能互补微网为研究对象,从系统工程优化角度研究多能互补微网运行优化方法,为建立面向复杂运行工况的高效益和鲁棒性微网运行方法体系奠定了一定的理论基础,为系统优化理论在多能互补微网运行中的应用提供参考。具体研究内容和研究成果如下:首先,针对"以热定电"和"以电定热"模式下带有可再生能源和负荷多重不确定性的微网经济运行优化问题,提出了基于后悔度准则的微网鲁棒多阶段经济运行优化方法。考虑到微网运行的保守性问题,采用带有鲁棒测度的最小最大后悔度描述微网多阶段运行模型。由于所提模型中存在多阶段耦合特征,基于凸规划对偶定理将模型中的非分离约束转换为分离约束,并据此简化多阶段优化模型为双层优化模型,然后提出拉格朗日两段松弛和交叉熵混合算法求解模型。仿真结果表明,所提经济运行优化方法可以在不确定性最大扰动下找出最小经济后悔度,进而获得最优经济效益,实现对微网运行保守度的调节。其次,针对"以热定电"和"以电定热"模式下微网运行花费、二氧化碳排放和一次化石能源消耗的多目标运行优化问题,提出了基于启发式调度规则和改进多目标交叉熵算法的微网多目标运行优化方法。考虑到多目标之间的协同和博弈关系可能导致运行方案偏离微网建设初衷,设计启发式调度规则修正Pareto运行方案的生成,并进一步缩减可行解域和提高求解效率。为保障微网Pareto运行方案的多样性和最优性,采用样本分段生成策略和参数更新机制改进多目标交叉熵算法。仿真结果表明,所提多目标运行优化方法可通过一次求解获得Pareto最优解集,实现经济、环境和能耗目标的同时最优。然后,针对可再生能源与负荷多重不确定性以及经济与环境多重优化目标在微网运行过程中并存的现状,提出了基于集合的最小最大鲁棒多目标的微网不确定性和多目标联合优化运行方法。考虑到随机性场景对经济和环境目标的不同影响难以生成鲁棒性的运行方案,依据Pareto鲁棒最优解定义构建带有鲁棒测度的微网最小最大多目标运行优化模型,并针对所提多目标双层规划模型的复杂结构,设计了内层多目标优化和外层集值优化的双层求解框架。仿真结果表明,所提运行优化方法在抑制不确定性扰动的同时,获得了微网运行的最优经济与环境效益,并可调节运行方案在多目标框架下的鲁棒性。最后,针对需求响应机制下的微网经济与环境运行优化问题,以及运行过程中存在的可再生能源与负荷不确定性扰动,提出了基于点的最小最大鲁棒多目标的微网供需双侧协同运行优化方法。考虑到负荷对价格和激励的不敏感性,提出了基于负荷转移的需求响应模型,并据此构建了供需双侧协同的微网鲁棒多目标运行优化模型。由于模型存在决策变量耦合及非线性特征,基于强对偶原理将模型转换为带有鲁棒测度的确定性微网多目标运行规划,并采用多目标交叉熵算法求解模型。仿真结果表明,所提运行优化方法可有效利用需求响应优化经济与环境目标以及减少供给侧在处理不确定性方面的压力,同时确保多重不确定性情况下的微网综合运行效益最优。
[Abstract]:Multi energy complementary microgrid is a reflection of new energy technology development level and explore the energy and economy, society, an important research topic of the harmonious development of environment of roads. Based on energy dispatch of microgrid operation optimization can promote the fusion of different forms of energy and reduce the energy cost of production, thus become the key technology of multi energy complementary micro network development. However, the external environment and internal operation of complicated multi energy flow coupling system with characteristics, stability, economy and environment friendly for the integrated optimization of multi energy complementary microgrid operation problems still need further research. This paper relates to renewable energy and load multiple uncertainty, multiple optimization of economy and environment, demand the response mechanism of the multi energy complementary micro the complicated problem of network operation optimization, to include photovoltaic power generation, cogeneration unit, ground source heat pump. The grid connected pool and load of multi energy complementary micro network as the research object, from the optimization of multi energy complementary microgrid operation optimization method of the system engineering angle, lay a theoretical foundation for the establishment of the complex operating conditions of high efficiency and robustness of the microgrid operation system, system optimization theory in multi energy complementary micro application network operation to provide the reference. The specific research contents and results are as follows: firstly, according to the "power determined by heat" and "electric heat" mode with renewable energy and load multiple uncertainty of microgrid economic operation optimization problem, this paper presents a robust microgrid criterion of multi stage regret economic operation optimization method based on considering the conservatism of the microgrid operation, with a robust measure of minimax regret degree to describe the microgrid operation model of multi stage. Because of the existence of coupling characteristics of multi stage model, based on the convex Planning duality theorem of non separation constraints in the model will be converted to the separation constraints, and thus simplify the optimization model for the optimization model of multi stage, and then put forward the Lagrange two relaxation and cross entropy hybrid algorithm to solve the model. The simulation results show that the proposed method can optimize the economic operation in the biggest uncertainty disturbance minimum economic regret then, to obtain the optimal economic benefits of microgridoperation regulation conservative degree. Secondly, according to the "power determined by heat" and "electric heat" mode of microgrid operation cost, operation optimization of multi target carbon dioxide emissions and a fossil energy consumption, is proposed based on heuristic scheduling rules and improved the target cross entropy algorithm for microgrid multi-objective optimization method. Considering the operation between the multi-objective coordination and game relationship may lead to deviation from the operation scheme of microgrid construction intention, design inspiration Scheduling rule revision to generate Pareto operation scheme, and further reduce the feasible solution region and improve the efficiency of the algorithm. For the diversity of security Pareto microgrid operation scheme and optimality by sub sampling generation strategy and parameter update mechanism to improve the cross entropy multi-objective algorithm. Simulation results show that the optimization method can be run through the goal of Titus a solution to obtain the Pareto optimal solution set, the realization of economic, environmental and energy consumption at the same time. Then the optimal target for renewable energy, and multiple load uncertainty and economic and environmental multiple optimization objectives in the microgrid transport status coexist in the course, put forward the optimization method of operation set minimum maximum robust multi-objective microgrid based on the uncertainty and multi-objective. Considering the different effects of random scenes on economic and environmental goals to generate robust operation scheme, according to Lu Pareto The optimal solution is defined to construct a robust bar measure of microgrid minimum maximum multi-objective optimal operation model, complex structure and the target of Titus bi level programming model, a multi-objective optimization design inner and outer set value double solution frame optimization. The simulation results show that the proposed operation optimization method to suppress and uncertain disturbances. To obtain the optimal micro economic and environmental benefits of network operation, and can adjust the operation scheme of robustness in multi objective framework. Finally, according to the mechanism of the micro economic and environmental optimization operation in response to demand, and operation in the process of renewable energy and the uncertainty of load disturbance, proposed min max robust point the multi-objective microgrid operation optimization method based on supply and demand of bilateral cooperation. Considering the load on the price and incentive is not sensitive, put forward the load transfer based on demand response The model, and constructs the supply and demand of microgrid bilateral collaborative robust multi-objective optimal operation model. Because the model has decision variable coupling and nonlinear characteristics, strong duality principle based on transforming the model to determine a robust measure of microgrid operation and multi-objective programming, a multi-objective cross entropy algorithm to solve the model. The simulation results show that the the operation optimization method can effectively utilize the demand response optimization of economic and environmental goals and reduce the supply side in dealing with the uncertainty of the pressure, while ensuring that the multiple uncertainty situation of microgrid integrated for optimal efficiency.

【学位授予单位】：山东大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：TM727
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本文编号：1425288