考虑需求响应的源荷协调调度多目标优化方法
Multi-Objective Optimization Method for Source-Load Coordination Dispatch Considering Demand Response
DOI: 10.12677/SG.2019.96027, PDF,    科研立项经费支持
作者: 李宛齐, 刘文颖：华北电力大学电气与电子工程学院，北京；王维洲, 拜润卿：国网甘肃省电力公司，甘肃 兰州
关键词: 风电消纳；高载能负荷；需求响应；源荷协调；多目标优化；Wind Power Consumption； Energy Intensive Load； Demand Response； Source-Load Coordination； Multi-Objective Optimization
摘要: 大规模风电接入电网后，风电的随机性和波动性给系统调峰带来了新的挑战，仅依靠常规电源的传统调度模式已不能满足风电并网的调度需求，风电消纳受到严重的限制。为了解决风电消纳的难题，需要充分挖掘负荷侧的调节能力。本文将具有良好调节特性的高载能负荷纳入需求响应，首先利用不同的需求响应机制对不同调节特性的高载能负荷进行激励，其次以系统运行成本最小和弃风功率最小为目标，建立考虑需求响应的源荷协调调度多目标优化模型。通过定义目标隶属度函数和最大化满意度指标法将所构建的多目标优化问题转化为单目标优化问题，并利用CPLEX进行求解，最后通过算例分析验证了论文所提方法可提升系统风电消纳的水平，并降低了系统运行成本。
Abstract: With the large-scale wind power connection to the grid, the randomness and volatility of wind power bring new challenges to the system peaking. The traditional dispatch mode of conventional power supply alone cannot meet the scheduling requirements of wind power grid-connected, and wind power consumption is severely limited. To solve the problem of wind power consumption, it is necessary to fully excavate the adjustment capabilities on the load side. In this paper, the energy intensive load with good regulation characteristics is included in the demand response. Firstly, different demand response mechanisms are used to stimulate the energy intensive load of different regulation characteristics. Secondly, aiming at the minimum operating cost of the system and the minimum abandoned wind power, a multi-objective optimization model of source-load coordinated scheduling considering demand response is established. To solve this model, the multiple objectives are transformed into a single objective through defining the objective membership function and the maximized satisfaction index method, and solving with CPLEX. Finally, an example is given to verify that the proposed method can improve the system’s wind power consumption level and reduce the operating cost of the system.
文章引用：李宛齐, 刘文颖, 王维洲, 拜润卿. 考虑需求响应的源荷协调调度多目标优化方法[J]. 智能电网, 2019, 9(6): 244-252. https://doi.org/10.12677/SG.2019.96027

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