考虑碳排放及需求响应的多园区综合能源系统优化调度

Optimal scheduling of multi-park integrated energy system considering carbon emission and demand response

针对传统能源系统无法充分利用能源间的互补优势、能源利用效率低、可再生能源消费能力不足以及节能减排的需求等挑战,提出了一种考虑碳排放和需求响应的跨多个园区综合能源系统多目标优化调度模型和策略。首先,概述了集成多个园区的综合能源系统的框架,在此基础上研究了该系统的优化调度模型;其次,针对各园区的需求响应模型,以最小化跨多个园区的综合能源系统的整体运营成本和碳排放量为目标,设计了该综合能源系统的多目标优化模型,并采用NSGA-Ⅱ算法进行求解;再次,深入研究了跨多个园区的综合能源系统的多目标优化调度策略;最后,以北方某地区3个工业园区综合能源系统为例,建立了需求响应与优化运行仿真模型。仿真结果表明,提出的跨园区综合能源系统优化调度模型与策略能够有效增强系统需求侧响应能力,改善负荷曲线,促进可再生能源消纳,提高系统经济性。

To tackle the challenges posed by conventional energy systems’inability to fully exploit the complementary strengths among energy sources,low energy utilization efficiency,inadequate capacity for renewable energy consumption,and the need for energy conservation and emission reduction,this paper suggests a multi-objective optimization scheduling model and strategy for a comprehensive energy system across multiple parks,taking into account carbon emissions and demand response.Initially,the framework of a comprehensive energy system integrating multiple parks is outlined,upon which an optimization scheduling model for this system is examined.Subsequently,a demand response model is formulated for the parks,aiming to minimize the overall operating costs and carbon emissions of the integrated energy system across multiple parks.A multi-objective optimization model is devised for this integrated energy system,and the NSGA-II algorithm is employed to address the problem.The paper delves into the multi-objective optimization scheduling strategy for the integrated energy system across multiple parks.Finally,a simulation model is developed for demand response and optimized operation based on the comprehensive energy systems of three industrial parks in a specific northern region.The simulation outcomes indicate that the proposed optimization scheduling model and strategy for the integrated energy system across multiple parks can effectively enhance the capability of demand-side response,improve the load curve,stimulate renewable energy consumption,and boost the economic efficiency of the system.