双碳目标下含重力储能的配电网多目标运行优化

doi:10.12204/j.issn.1000-7229.2023.04.006

电力建设 ›› 2023, Vol. 44 ›› Issue (4): 45-53.doi: 10.12204/j.issn.1000-7229.2023.04.006

双碳目标下含重力储能的配电网多目标运行优化

崔文倩¹(), 魏军强¹(), 赵云灏²(), 高炜³(), 陈康³()

1.华北电力大学数理学院, 北京市 102206
2.华北电力大学国家能源发展战略研究院, 北京市 102206
3.陕西延长石油售电有限公司,西安市 710075

收稿日期:2022-07-18 出版日期:2023-04-01 发布日期:2023-03-30
通讯作者: 魏军强 E-mail:weijunqiang@ncepu.edu.cn
作者简介:崔文倩(1999),女,硕士研究生,研究方向为应用数学,E-mail:cwq0201@126.com;
赵云灏(1988),男,博士,助理研究员,主要从事能源数字化转型和能源互联系统规划与运行优化方面的研究工作,E-mail:yunhaozhao@ncepu.edu.cn;
高炜(1980),男,硕士,高级工程师,从事新能源、能源系统和能源互联网方面的研究工作,E-mail:Gw8828@sina.com;
陈康(1974),男,本科,高级工程师,从事新能源、能源互联系统规划与运行方面的研究工作,E-mail:chkakang@126.com。
基金资助:
国家重点研发计划资助项目(2021YFE0102400)

Multi-objective Operation Optimization of Distribution Network with Gravity Energy Storage under Double Carbon Target

CUI Wenqian¹(), WEI Junqiang¹(), ZHAO Yunhao²(), GAO Wei³(), CHEN Kang³()

1. School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China
2. National Institute of Energy Development Strategy,North China Electric Power University, Beijing 102206, China
3. Shaanxi Yanchang Petroleum Power Sales Co., Ltd., Xi’an 710075, China

Received:2022-07-18 Online:2023-04-01 Published:2023-03-30
Contact: WEI Junqiang E-mail:weijunqiang@ncepu.edu.cn
Supported by:
National Key R&D Program of China(2021YFE0102400)

摘要/Abstract

摘要：

在“双碳”背景下,新型电力系统承载电力系统低碳转型的重要任务。为了更好地促进新能源的消纳,同时有效促进需求响应参与电力系统运行,针对主动配电网的运行优化,提出了基于重力储能和需求响应的主动配电网多目标优化模型。目标函数一考虑主动配电网运行和用户用能的总成本,目标函数二选取主动配电网的等效碳排放成本。由于风光出力的不确定性,利用鲁棒优化理论将不确定优化模型转换为确定性优化模型,同时构建了基于NSGA-Ⅱ算法的运行优化求解方法。最后,在三种场景下对模型进行求解,结果表明系统配置重力储能,同时开展需求响应除了能减少碳排放量之外,还能达到削峰填谷的目的,系统有较好的运行经济性。

关键词: 重力储能, 需求响应, 主动配电网, 鲁棒优化, NSGA-Ⅱ算法

Abstract:

Under the background of “double carbon target ”, the new power system carries the important task of low-carbon transformation of power system. In order to better promote the absorption of new energy and effectively promote the demand response to participate in the operation of power system, this paper proposes a multi-objective optimization model of active distribution network considering gravity energy storage and demand response. Objective function 1 considers the total cost of active distribution network operation and user energy consumption, and objective function 2 is selected as the equivalent carbon-emission cost of active distribution network. Due to the uncertainty of wind power output, the uncertain optimization model is converted to the deterministic optimization model by using the robust optimization theory, and the operation optimization solution method based on NSGA-Ⅱ algorithm is constructed. Finally, the model is solved in three scenarios. The results show that the system equipped with gravity energy storage and the demand response at the same time can not only reduce carbon emissions, but also achieve the purpose of peak-cutting and valley-filling, and the system has better operation economy.

Key words: gravity energy storage, demand response, active distribution network, robust optimization, NSGA-Ⅱ algorithm

中图分类号:

TM732

崔文倩, 魏军强, 赵云灏, 高炜, 陈康. 双碳目标下含重力储能的配电网多目标运行优化[J]. 电力建设, 2023, 44(4): 45-53.

CUI Wenqian, WEI Junqiang, ZHAO Yunhao, GAO Wei, CHEN Kang. Multi-objective Operation Optimization of Distribution Network with Gravity Energy Storage under Double Carbon Target[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(4): 45-53.

图/表 13

图1 主动配电网基本架构

Fig.1 Basic framework of the active distribution network

图2 多目标优化模型转化求解流程

Fig.2 Multi-objective optimization model transformation solution flow chart

图3 21节点主动配电网算例结构示意图

Fig.3 Schematic diagram of the 21-node case of active distribution network

表1 分时电价

Table 1 Time-of-use electricity price

表2 优化场景

Table 2 Scenarios to be optimized

图4 风光出力曲线

Fig.4 Wind and solar power curves

图5 三种场景下的负荷曲线

Fig.5 Load curves in three scenarios

表3 各场景下的高峰负荷和峰谷差

Table 3 Peak load and peak-to-valley difference in each scenario kW

表4 Total cost and carbon cost of each scenario 元

Table 4

表5 3种场景下的风光储利用情况

Table 5 Utilization of wind and solar power and storage in three scenarios kW·h

图6 场景1的储能充放电情况

Fig.6 Charge and discharge situation of energy storage in Scenario 1

图7 场景2的储能充放电情况

Fig.7 Charge and discharge situation of energy storage in Scenario 2

图8 场景3的储能充放电情况

Fig.8 Charge and discharge situation of energy storage in Scenario 3

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双碳目标下含重力储能的配电网多目标运行优化

Multi-objective Operation Optimization of Distribution Network with Gravity Energy Storage under Double Carbon Target

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