基于源荷不确定性状态感知的无废城市多能源协调储能模型

doi:10.19595/j.cnki.1000-6753.tces.191657

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摘要针对“无废城市”中生活垃圾发电设施与城市多能源系统间的能源耦合互补特性,将无废城市多能源系统等效为一个具有电能和天然气能储放外特性的“无废城市多能源协调储能”,实现对城市多能源系统经济性、垃圾处理能力和可再生能源利用率的有效提升,并同时能够为电网气网提供较大的调节能力。首先,研究生活垃圾发电系统的能源输入输出特性及其与城市多能源系统中可再生能源发电系统、能源存储与转换装置及电网气网间的能源耦合关系,建立基于无废城市多能源系统协调运行的无废城市多能源协调储能模型;其次,以无废城市多能源协调储能综合运行成本最小化为目标,研究基于源荷不确定性状态感知的无废城市多能源协调储能系统运行优化模型及求解方法;最后,进行仿真验证。结果表明,该文所提出的无废城市多能源协调储能模型及其运行优化方法能够有效提升城市多能源系统的经济性和灵活性。

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	金红洋
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	陈哲

关键词 ：多能源系统, 无废城市, 储能, 不确定性, 状态感知

Abstract：In this paper, an urban multi-energy system is equivalent to a “multi-energy coordinated energy storage model in zero-waste cities (MECESM-ZWC)”, considering the complementary characteristics of domestic waste power generation and multi-energy systems in “Zero-Waste Cities”. The urban multi-energy system economy, garbage disposal capacity and renewable energy utilization rate can be effectively improved, and at the same time, regulation capacity of power grid and gas network is provided by using this model. First, this paper studies the energy input and output characteristics of domestic waste power generation and its energy coupling relationship with urban multi-energy systems, such as renewable energy generation and energy conversion equipment in gas network and power grid, in order to establish the MECESM-ZWC. Secondly, the comprehensive operating cost model is established and the MECESM-ZWC based on situation awareness of source and load uncertainty are optimized. Finally, simulation verification is performed to confirm that the economy and flexibility of the urban multi-energy system can be effectively improved by the MECESM-ZWC.

Key words： Multi-energy system zero-waste cities energy storage uncertainty situation awareness

收稿日期: 2019-11-30

PACS:

TM711

基金资助:国家重点研发计划资助项目（2017YFB0902100）

通讯作者: 滕云男,1973年生,教授,博士生导师,研究方向为可再生能源发电、多能源系统优化运行与控制等。E-mail：tengyun@sut.edu.cn

作者简介: 金红洋男,1993年生,博士研究生,研究方向为多能源系统优化运行与控制。E-mail：tlssys09@sut.edu.cn

引用本文:

金红洋, 滕云, 冷欧阳, 张铁岩, 陈哲. 基于源荷不确定性状态感知的无废城市多能源协调储能模型[J]. 电工技术学报, 2020, 35(13): 2830-2842. Jin Hongyang, Teng Yun, Leng Ouyang, Zhang Tieyan, Chen Zhe. Multi-Energy Coordinated Energy Storage Model in Zero-Waste Cities Based on Situation Awareness of Source and Load Uncertainty. Transactions of China Electrotechnical Society, 2020, 35(13): 2830-2842.

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