| 引用本文: | 姜延卓,高 冲,刘艳云,等.考虑能量转换装置可变效率的综合能源系统多目标优化调度[J].电力系统保护与控制,2025,53(1):71-83.[点击复制] |
| JIANG Yanzhuo,GAO Chong,LIU Yanyun,et al.Multi-objective scheduling optimization of an integrated energy system considering variable efficiency of energy conversion devices[J].Power System Protection and Control,2025,53(1):71-83[点击复制] |
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| 摘要: |
| 为了全面考虑综合能源系统的运行性能，提出一种计及能量转换装置可变效率的综合能源系统多目标优化运行方法。首先，对具有可变效率的能量转换设备运行特性曲线进行分段线性化处理。其次，建立以经济成本、碳排放量和综合能源利用效率为优化对象的多目标优化调度模型，并通过Charnes-Cooper变换解决综合能源利用效率目标的非凸非线性问题。最后，在求解该多目标模型时，运用规格化法平面约束法生成均匀分布的帕累托前沿，再采用改进熵权双基点法决策出折衷最优解。对修改的IEEE 33节点电网和8节点热网耦合的综合能源系统进行仿真分析。结果表明：优化后的模型和算法可以得到兼顾综合能源系统经济性、低碳性及高效性的优化运行方案，为决策者提供科学的决策参考。 |
| 关键词: 综合能源系统 多目标优化 可变效率 规格化法平面约束法 改进熵权双基点法 |
| DOI：10.19783/j.cnki.pspc.240425 |
| 投稿时间：2024-04-10修订日期：2024-07-08 |
| 基金项目:国家重点研发计划项目资助(2020YFB0906005) |
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| Multi-objective scheduling optimization of an integrated energy system considering variable efficiency of energy conversion devices |
| JIANG Yanzhuo1,GAO Chong2,LIU Yanyun1,ZHANG Zhenli1,YE Rongjiang2,LI Wanbin3,XIE Qing1 |
| (1. Department of Electric Power Engineering, North China Electric Power University, Baoding 071003, China;
2. Department of Economic Management, North China Electric Power University, Baoding 071003, China;
3. Dezhou Power Supply Company, State Grid Shandong Electric Power Company, Dezhou 253075, China) |
| Abstract: |
| To comprehensively assess the operational performance of an integrated energy system, this paper introduces a multi-objective optimal operational method that takes into account the variable efficiency of energy conversion devices. First, the operational characteristic curves of energy conversion devices with variable efficiency are segmented and linearized. Second, a multi-objective optimal scheduling model is established considering the economic costs, carbon emissions and comprehensive energy utilization efficiency. The non-convex nonlinear problem with comprehensive energy utilization efficiency is solved by the Charnes-Cooper transformation. Finally, to solve the multi-objective model, the normalized normal constraint method is employed to generate a Pareto optimal set with uniform distribution. Following this, the improved entropy weight double-base point method is used to identify the compromise optimal solution. The modified IEEE 33-bus power distribution network and 8-bus heating network coupled integrated energy system are simulated and analyzed. The results show that the optimized model and algorithm are capable of obtaining an operational scheme that considers economy, low-carbon, and high efficiency of an integrated energy system. This offers decision makers scientific references for decision-making. |
| Key words: integrated energy system multi-objective optimization variable efficiency normalized normal constraint method improved entropy weight double-base point method |
