| 引用本文: | 何宇斌,张伊宁,马光,郭创新,周昱甬,叶刚进.输配一体化综合能源系统的运行多指标评估方法[J].电力自动化设备,2019,39(8): |
| HE Yubin,ZHANG Yining,MA Guang,GUO Chuangxin,ZHOU Yuyong,YE Gangjin.Multi-index evaluation for integrated energy system operation connecting transmission and distribution levels[J].Electric Power Automation Equipment,2019,39(8): |
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| 摘要: |
| 为量化风电波动和设备随机故障等多重不确定因素对综合能源系统的影响，提出了一种输配一体化综合能源系统的运行多指标评估方法。在模型上，建立了含上层输网级能源网架和下层配网级能源枢纽的统一架构，精细刻画电/气/热等多种能源在发输配用全流程的耦合特性；在方法上，通过状态空间分割分别处理风电波动和设备故障场景，提出混合等分散蒙特卡洛抽样法改善评估收敛特性，并采用连续线性化方法求解最优多能流问题以平衡算法精度和速度，进一步提升评估效率；在指标上，面向低碳运行环境，建立计及运行经济性、系统可靠性、风电消纳性、能源环保性等在内的多指标评估框架，全面描述多重不确定因素对系统运行的影响。通过对包含17个能源枢纽的RTS79-40Node综合能源测试系统进行分析，验证了所提方法的有效性与合理性。 |
| 关键词: 综合能源系统 能源枢纽 能源管理 可靠性分析 混合等分散蒙特卡洛抽样 连续线性化 最优多能流 |
| DOI：10.16081/j.epae.201908021 |
| 分类号:TM711;TK01 |
| 基金项目:国家自然科学基金资助项目(51877190)；国网浙江省电力有限公司科技项目 |
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| Multi-index evaluation for integrated energy system operation connecting transmission and distribution levels |
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HE Yubin1,2, ZHANG Yining1, MA Guang1, GUO Chuangxin1, ZHOU Yuyong3, YE Gangjin3
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1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Power Dispatching and Control Center of China Southern Power Grid, Guangzhou 510623, China;3.State Grid Hangzhou Power Supply Company, Hangzhou 310000, China
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| Abstract: |
| In order to quantify the impact of multiple uncertainties such as wind power fluctuations and equipment random failures on the IES(Integrated Energy System),a multi-index evaluation method for IES operation is proposed. In terms of modeling, the unified framework including the energy network in upper transmission level and the EH(Energy Hub) in lower distribution level is established, and the coupling characteristics of electricity, gas and heat in the whole process of generation-transmission-distribution-utilization are described in detail. In terms of methodology, wind power fluctuations and equipment failures are handled by state-space partitioning respectively, while the MS-MC(Mixed Scatter-Monte Carlo) sampling method is proposed to accelerate evaluation convergence. Meanwhile, sequential linearization method is adopted to solve the optimal multi-energy flow problem for the balance of approximation accuracy and solution speed, which further improves the efficiency of evaluation. In terms of indicators, facing the low carbon ope-ration environment, a multi-index evaluation framework including operation economy, system reliability, wind power accommodation, environment protection and so on is established to comprehensively describe the impact of multiple uncertainties on IES operation. The effectiveness and rationality of the proposed methods are verified by the simulations on RTS79-40Node IES with 17 EHs. |
| Key words: integrated energy system energy hub energy management reliability analysis MS-MC sampling sequential linearization optimal multi-energy flow |
