计及综合需求响应和不确定性风险的电气热耦合型微电网协同优化

Cooperative optimization of electricity-gas-heat coupled microgrid considering integrated de-mand response and uncertainty risk

多能耦合型微电网是提高系统运行效率和促进风电消纳的重要手段,文章提出了计及综合需求响应和不确定性风险的电气热耦合型微电网协同优化模型。该模型在分析多种能源交互响应特性的基础上,基于价格的综合需求响应引导用户用能行为,平滑系统负荷曲线。另外,通过分析不确定性的随机特性和模糊特性,提出一种基于可信性理论的风险评估方法,定量分析了风力发电的不确定风险,用来权衡多能耦合型微电网运行的效益和风险。最后,利用进化捕食算法求解所提模型,仿真结果表明,所提模型提高了可再生能源利用率,增强了微电网对不确定风险的抵御能力,并降低系统运行费用。

The paper proposed a collaborative optimization model of electricity-gas-heat coupled microgrid with integrated demand response(IDR) and uncertainty risk. On the one hand, the model proposed a price-based IDR to guide users’ energy consumption behavior and smooth the system load curve based on the analysis of the interactive response characteristics of multiple energy sources. On the other hand, by analyzing the stochastic and fuzzy characteristics of uncertainty, a risk assessment method based on plausibility theory is proposed to quantitatively analyze the risk of uncertain wind power generation to weigh the benefits and risks of multi-energy coupled microgrid operation. Finally,the proposed model is solved using the evolutionary predator and prey strategy(EPPS) algorithm, and the simulation results show that the proposed model improves the utilization of renewable energy while enhancing the resilience of microgrid to uncertain risks and reducing the system operation cost.