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考虑能量-辅助服务下的园区综合能源系统多时间尺度优化模型
引用本文:谭俊丰,杨苹,张凡,马溪原,姚森敬.考虑能量-辅助服务下的园区综合能源系统多时间尺度优化模型[J].中国电力,2022,55(10):100-111.
作者姓名:谭俊丰  杨苹  张凡  马溪原  姚森敬
作者单位:1. 华南理工大学 电力学院,广东 广州 510640;2. 广东省绿色能源技术重点实验室(华南理工大学),广东 广州 510640;3. 南方电网数字电网研究院有限公司,广东 广州 510663
基金项目:南方电网数字电网研究院有限公司科技项目(YTYZW20010);广东省重点领域研发计划项目(2021B0101230003)。
摘    要:在“双碳”目标下,构建以新能源为主体的新型电力系统必将推动用户侧参与能量的实时平衡调控。在具有冷、热、电、气多能运行的综合能源系统中,通过结合多种可调资源的辅助调节,协调内部运行策略以支撑和响应电力系统的实时平衡,可促进园区的经济用能及地区新能源消纳。为此,以综合能源系统为视角,提出考虑能量-辅助服务市场环境下的多时间尺度优化模型,通过向电网提供调峰调频等辅助服务以优化园区的用能成本,通过等价线性化的方法求解非线性规划问题。仿真算例分析表明:在所提优化模型下,园区以多能协调互补实现经济用能的同时,通过参与调峰、调频辅助服务有效促进地区新能源消纳及实时平衡。

关 键 词:工业园区  综合能源系统  能量-辅助服务  多时间尺度  优化调控  
收稿时间:2022-03-17

Multi-time Scale Optimization Dispatch Model of Integrated Energy System Considering Energy-Auxiliary Services
TAN Junfeng,YANG Ping,ZHANG Fan,MA Xiyuan,YAO Senjing.Multi-time Scale Optimization Dispatch Model of Integrated Energy System Considering Energy-Auxiliary Services[J].Electric Power,2022,55(10):100-111.
Authors:TAN Junfeng  YANG Ping  ZHANG Fan  MA Xiyuan  YAO Senjing
Affiliation:1. School of Electric Power, South China University of Technology, Guangzhou 510640, China;2. Guangdong Key Laboratory of Clean Energy Technology (South China University of Technology), Guangzhou 510640, China;3. Digital Grid Research Institute, China Southern Power Grid Co., Ltd., Guangzhou 510663, China
Abstract:Under the goal of “carbon peaking and carbon neutrality”, construction of the new power system with new energy as the mainstay will surely promote the user-side participation in the real-time energy balance. In the integrated energy system (IES) with multi-energy operation of cooling, heating, electricity and gas, the real-time balance of power system through coordinating internal operation strategies combined with the auxiliary adjustment of various internal flexible resources can promote the economic energy use of industrial park and the regional renewable energy consumption. A multi-time scale IES optimization dispatch model is thus proposed with consideration of energy-auxiliary services. The energy cost of industrial park is optimized through providing such auxiliary services as peak-shaving and frequency regulation to power grid, and the equivalent linearization method is used to solve nonlinear programming problem. The case study shows that with the proposed optimization model, the park can not only realize the economic energy use through multi-energy coordination and complementation, but also can effectively promote regional renewable energy consumption and real-time energy balance through participating in peak shaving and frequency regulation auxiliary services.
Keywords:industrial park  integrated energy system  energy-auxiliary service  multi-time scale  optimization dispatch  
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