A Coordination Strategy to Smooth Power Fluctuation of Distributed Generation in Integrated Energy System Based on Virtual Energy Storage

Erjia ZHANG; Nengling TAI; Yang CHEN; Wei YAO; Wentao HUANG; Shihua ZHAO

doi:10.12096/j.2096-4528.pgt.19144

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A Coordination Strategy to Smooth Power Fluctuation of Distributed Generation in Integrated Energy System Based on Virtual Energy Storage

Key Technologies for Ubiquitous Power Internet of Things and Integrated | 更新时间：2025-07-04

- A Coordination Strategy to Smooth Power Fluctuation of Distributed Generation in Integrated Energy System Based on Virtual Energy Storage
- Power Generation Technology Vol. 41, Issue 1, Pages: 30-40(2020)
- 作者机构：
  
  1.上海交通大学电子信息与电气工程学院, 上海市闵行区 200240
  2.上海市电力公司松江供电公司, 上海市松江区 201600
- 作者简介：
- 基金信息：
  
  2019 Major Scientific Research and Innovation Projects of Shanghai Education Commission(2019-01-07-00-02-E00044)
- DOI：10.12096/j.2096-4528.pgt.19144
  CLC： TM715
- Received：08 October 2019，
  
  Published：29 February 2020
- 稿件说明：
移动端阅览
Erjia ZHANG, Nengling TAI, Yang CHEN, et al. A Coordination Strategy to Smooth Power Fluctuation of Distributed Generation in Integrated Energy System Based on Virtual Energy Storage[J]. Power Generation Technology, 2020, 41(1): 30-40.
DOI：

Erjia ZHANG, Nengling TAI, Yang CHEN, et al. A Coordination Strategy to Smooth Power Fluctuation of Distributed Generation in Integrated Energy System Based on Virtual Energy Storage[J]. Power Generation Technology, 2020, 41(1): 30-40. DOI： 10.12096/j.2096-4528.pgt.19144.

摘要

针对含分布式可再生能源的热电联供综合能源系统，提出一种基于虚拟储能技术的热电联供综合能源系统联络线功率波动平抑策略。分析了综合能源系统中热电联供系统的结构特点与电热耦合方式。热电联供综合能源系统中的可控设备包括微型燃气轮机、热泵、蓄电池和超级电容。虚拟储能系统是基于建筑物蓄热特性的模型。引入可控设备及虚拟储能系统状态指标，采用加权滑动平均滤波算法确定联络线目标平滑功率；将联络线波动功率在可控设备间分配，并基于设备状态映射表，引入设备修正系数以确定其最终出力。在上海某高校"中意绿色能源实验中心"进行验证，结果表明，所提策略能够实现电热耦合协调，保证功率波动平抑效果，在满足虚拟储能状态约束的前提下，保证客户的舒适度，延长可控设备的使用寿命，并充分发掘热电联供综合能源系统的控制灵活性，增强分布式可再生能源的综合消纳能力。

Abstract

A coordination strategy was proposed to smooth the tie-line power fluctuation of the combined heating and power integrated energy system (CMPIES) by using the virtual energy storage system. The structure and energy coupling mode of the CMPIES were analyzed. The controllable devices in CMPIES include micro-gas turbines

heat pumps

batteries and super capacitors. Virtual energy storage system is a thermal model based on utilizing the heat storage characteristics of building. Considering the controllable devices and the virtual energy storage system state index

weighted moving average filtering algorithm was used to optimize the tie-line reference power. The coordination strategy designs state map table to regulate the filter time constant based on the operation state of the controllable devices. The output of controllable devices is adjusted by the correction factor calculated by the state map table. The proposed strategy was validated by the field data from Green Energy University Laboratory in China. The simulation shows the strategy realizes the coupling and coordination between power and heat

ensures the power fluctuation smoothing effect and enhance the CMPIES control flexibility. At the same time

the comfort of the customers participating in the CMPIES can be maintained. The coordination strategy is able to enhance the penetration and consummation of distribution renewable energies and prolong the controllable devices' life.

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references

Liu N, Chen Q, Liu J, et al. A heuristic operation strategy for commercial building microgrids containing EVs and PV system[J]. IEEE Transactions on Industrial Electronics, 2015, 62(4):2560-2570.

Igualada L, Corchero C, Cruz-Zambrano M, et al. Optimal energy management for a residential microgrid including a vehicle-to-grid system[J]. IEEE Transactions on Smart Grid, 2014, 5(4):2163-2172.

李正茂, 张峰, 梁军, 等.含电热联合系统的微电网运行优化[J].中国电机工程学报, 2015, 35(14):3569-3576.

吴峰, 吕垚.电力-天然气区域综合能源系统多能流计算及静态稳定性分析[J].广东电力, 2019, 32(10):28-35.

杨昌儒, 林仕立, 宋文吉, 等.复合储能对提升太阳能利用率的仿真研究[J].电网与清洁能源, 2018, 34(11):52-58.

杨才明, 高慧敏, 祈炜雯, 等.抑制电网大功率波动的分布式储能装置功率支持策略研究[J].浙江电力, 2019, 38(5):11-17.

叶林, 陈政, 赵永宁.考虑蓄电池荷电状态的光伏功率分段平滑控制方法[J].电网技术, 2014, 38(7):1812-1818.

张野, 郭力, 贾宏杰, 等.基于蓄电池荷电状态和可变滤波时间常数的储能控制方法[J].电力系统自动化, 2012, 36(6):34-38, 62.

邹见效, 戴碧蓉, 彭超, 等.基于荷电状态分级优化的混合储能风电功率平抑方法[J].电力系统自动化, 2013, 37(24):1-6.

Yang Y, Yang N, Li H. Cost-benefit study of dispersed battery storage to increase penetration of photovoltaic systems on distribution feeders[C]//PES General Meeting Conference&Exposition. IEEE, National Harbor, MD, USA, 2014.

Kawachi, Hagiwara H, Baba J, et al. Study on compensation of short term power fluctuation by use of heat pump air conditioning system based on real machine[J]. IEEE Transactions on Power&Energy, 2012, 132(1):77-85.

王东, 曾沅, 穆云飞, 等.基于温控负荷控制技术的新能源优化利用方法[J].电网技术, 2015, 39(12):3457-3462.

Xu L Z, Guang Y Y, Zhao X, et al. Combined scheduling of electricity and heat in a microgrid with volatile wind power[J]. Automation of Electric Power Systems, 2011, 35:53-60.

靳小龙, 穆云飞, 贾宏杰, 等.融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J].中国电机工程学报, 2017, 37(2):581-591.

王冉, 王丹, 贾宏杰, 等.一种平抑微网联络线功率波动的蓄电池及虚拟储能协调控制策略[J].中国电机工程学报, 2015, 35(20):5124-5134.

Cristofari C, Norvaišienė R, Canaletti J L, et al. Innovative alternative solar thermal solutions for housing in conservation-area sites listed as national heritage assets[J]. Energy&Buildings, 2015, 89:123-131.

Buonomano A, Palombo A. Building energy performance analysis by an in-house developed dynamic simulation code:an investigation for different case studies[J]. Applied Energy, 2014, 113(1):788-807.

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