面向风电消纳的综合能源系统多类型储能联合调度

doi:10.3969/j.issn.1000－7229.2018.04.006

电力建设 ›› 2018, Vol. 39 ›› Issue (4): 35-.doi: 10.3969/j.issn.1000－7229.2018.04.006

面向风电消纳的综合能源系统多类型储能联合调度

王诚良1，刘洪2，宫建锋1，李吉峰2，杨少华1，刘静仪2，丁丽霞1

（1.国网宁夏电力公司经济技术研究院，宁夏市 750001；2.智能电网教育部重点实验室（天津大学），天津市 300072）

出版日期:2018-04-01
作者简介:王诚良（1970），男，高级工程师，研究方向为电力系统分析、电网规划技术等；刘洪（1979），男，博士，副教授，主要研究方向为城市智能电网及综合能源系统规划与评估；宫建锋（1986），男，学士，工程师，主要从事电网规划和新能源并网等方面的研究工作；李吉峰（1991），男，博士研究生，主要研究方向为综合能源系统运行与可靠性；杨少华（1972），女，高级会计师，主要研究方向为电力系统会计核算、预算分析、项目经济性分析；刘静仪（1995），女，硕士研究生，主要研究方向为综合能源系统规划与评估；丁丽霞（1979），女，硕士，高级工程师，主要研究方向为电网规划、电力市场分析。
基金资助:
基金项目：国网宁夏电力公司经济技术研究院科技项目（SGNXJY00GHJS1700018）

Joint Scheduling of Different Energy Storage for Improving Wind Power Accommodation Ability in Integrated Community Energy System

WANG Chengliang1, LIU Hong2, GONG Jianfeng1, LI Jifeng2, YANG Shaohua1, LIU Jingyi2, DING Lixia1

（1. Economic Research Institute of State Grid Ningxia Electric Power Company，Ningxia 750001，China；2.Key Laboratory of Smart Grid of Ministry of Education（Tianjin University），Tianjin 300072，China）

Online:2018-04-01
Supported by:

摘要/Abstract

摘要： 摘要：针对三北地区供热季“以热定电”运行机制下产生的大量弃风问题，提出了一种面向风电消纳的地区综合能源系统（integrated energy system, IES）多类型储能联合调度方法。首先，设置了含电-热多类型储能装置的地区综合能源系统结构，该系统以电动汽车作为灵活储电装置，并对系统内各设备子系统进行了建模；其次，构造了以风电消纳能力最优为目标、以电热网络运行情况为约束的地区综合能源系统多类型储能优化调度模型；再次，采用量子粒子群算法，借助系统内的多类型储能装置调节热电联产机组的出力；最后，通过算例对比分析，证明了在区域内加装不同类型储能装置可以改善风电消纳能力，同时考虑区域间能量互联有提高能源利用率的作用。

关键词: , 关键词：能源互联网, 地区综合能源系统, 储能装置, 风电消纳, 优化调度, 量子粒子群算法

Abstract: ABSTRACT： For the situation that a large number of wind curtailment occurred during the heating season under the running mechanism of ‘Ordering power by heat’ in the northeast, north and northwest regions, this paper proposes an approach to joint scheduling of different energy storage for improving wind power accommodation ability in integrated energy system （IES）. Firstly, we set up the structure of integrated community energy system combined power and heat energy storage devices, which takes the electric vehicle as the flexible power storage device and models the subsystems of the system. Secondly, we construct the optimized scheduling model of different energy storage in integrated community energy system, which takes the best wind power accommodation ability as goal and the running condition of power and heat network as constraints. Thirdly, we apply quantum particle swarm optimization algorithm to adjust the output power of cogeneration units through multi-type energy storage devices in the system. Finally, through comparison and analysis by example, it is proved that adding different types of energy storage devices in the region can improve wind power accommodation capacity, and the consideration of interregional energy interconnection can increase the utilization of energy.

Key words: KEYWORDS： energy Internet, integrated community energy system, energy storage devices, wind power accommodation, optimal scheduling, quantum particle swarm optimization algorithm

王诚良1，刘洪2，宫建锋1，李吉峰2，杨少华1，刘静仪2，丁丽霞1. 面向风电消纳的综合能源系统多类型储能联合调度[J]. 电力建设, 2018, 39(4): 35-.

WANG Chengliang1, LIU Hong2, GONG Jianfeng1, LI Jifeng2, YANG Shaohua1, LIU Jingyi2, DING Lixia1. Joint Scheduling of Different Energy Storage for Improving Wind Power Accommodation Ability in Integrated Community Energy System[J]. Electric Power Construction, 2018, 39(4): 35-.

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面向风电消纳的综合能源系统多类型储能联合调度

Joint Scheduling of Different Energy Storage for Improving Wind Power Accommodation Ability in Integrated Community Energy System

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