环境问题的日益严峻以及"双碳"目标推动了碳交易市场的发展和多能互补乡镇综合能源系统的建设.然而,源荷两端的不确定性为系统的可靠运行带来了重大挑战,包括可再生能源发电的不稳定性和负荷需求的波动性,影响系统的运行效率和稳定性,为了应对这些挑战,本文引入了鲁棒优化方法,能够基于预测值,搜寻不确定集合中最坏情况下的最优解,从而保障系统安全可靠运行.首先,考虑风光负荷不确定性对调度策略的影响,第一阶段以购电成本和氢储能系统运行成本最小为目标函数,第二阶段以购气成本、蓄电池运行成本和碳交易成本最小为目标函数,建立乡镇综合能源系统两阶段鲁棒优化调度模型并运用列和约束生成算法(column and constraint generation,C&CG)进行求解,最后进行仿真验证,分析不同运行场景下乡镇综合能源系统优化调度情况,验证建立的系统模型能够可靠运行.
Low-carbon economic dispatch strategy for integrated energy systems in townships considering uncertainty
The growing severity of environmental issues and the"dual carbon"goals have accelerated the development of carbon trading markets and the construction of multi-energy complementary integrated energy systems in townships.However,uncertainties on both the supply and demand sides pose significant challenges to the reliable operation of these systems,including the instability of renewable energy generation and fluctuations in load demand,which affect operational efficiency and stability.To address these challenges,this paper introduces a robust optimization approach that seeks the optimal solution under worst-case scenarios based on predicted values,ensuring the safe and reliable operation of the system.This study considers the impact of wind and solar load uncertainties on dispatch strategies.In the first phase,the objective function aims to minimize electricity purchasing costs and the operational costs of hydrogen storage systems.In the second phase,the focus shifts to minimizing purchasing gas costs,battery operating costs,and carbon trading costs.A two-stage robust optimization dispatch model for integrated energy systems in townships is established and solved using the column and constraint generation(C&CG)algorithm.Finally,simulation verification is conducted to analyze the optimized dispatch of the integrated energy system under different operational scenarios,confirming that the established system model can operate reliably.
integrated energy systemscarbon tradinguncertaintytwo-stage robust optimization
国家科技期刊平台
NSTL
万方数据
