计及价格引导机制的含分布式资源园区协调运行策略

doi:10.12204/j.issn.1000-7229.2023.02.014

电力建设 ›› 2023, Vol. 44 ›› Issue (2): 145-154.doi: 10.12204/j.issn.1000-7229.2023.02.014

计及价格引导机制的含分布式资源园区协调运行策略

余彬¹, 翁利国¹, 练德强¹, 王思斌², 黄媛³(), 姚昊天³

1.国网浙江杭州市萧山区供电有限公司, 杭州市 311200
2.浙江中新电力工程建设有限公司,杭州市 310000
3.四川大学电气工程学院, 成都市610065

收稿日期:2022-05-06 出版日期:2023-02-01 发布日期:2023-01-30
通讯作者: 黄媛(1974),女,博士,副教授,主要研究方向为电力系统大数据、电力系统分析,E-mail: 961391213@qq.com。
作者简介:余彬(1987),男,硕士,高级工程师,主要研究方向为配电网相关技术;
翁利国(1982),男,硕士,高级工程师,主要研究方向为配电网相关技术;
练德强(1978),男,硕士,高级工程师,主要研究方向为配电网相关技术;
王思斌(1990),男,学士,助理工程师,主要研究方向为配电网相关技术;
姚昊天(1997),男,博士研究生,主要研究方向为配电网规划、配电网优化运行、电力市场。
基金资助:
四川省科技厅计划项目(2021YFSY0053)

Coordinated Operation Strategy of Multiple Parks Considering Distributed Energy Resources and Price-based Incentive Mechanism

YU Bin¹, WENG Liguo¹, LIAN Deqiang¹, WANG Sibin², HUANG Yuan³(), YAO Haotian³

1. Hangzhou Xiaoshan Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311200, China
2. Zhejiang Zhongxin Power Engineering Construction Co., Ltd., Hangzhou 310000, China
3. College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Received:2022-05-06 Online:2023-02-01 Published:2023-01-30
Supported by:
Science and Technology Program of Sichuan Province(2021YFSY0053)

摘要/Abstract

摘要：

市场环境下,含分布式资源的园区正参与到配电网的协调运行过程中。如何保证配电网安全运行及调动其积极性,实现多园区与配电网的利益均衡,是当前亟需解决的关键问题。针对此问题,引入配电网节点边际电价对多园区的协调运行进行价格传导。首先,配电网公司进行多园区的协调运行,基于配电网节点边际电价对各园区内部的需求响应过程进行趋优引导。然后,采用多代理模型对园区内的分布式资源进行代理,利用传导的配电网激励价格计算各代理的交互利益,园区根据各分布式资源代理的交互利益优先级进行协调优化。最后,通过算例仿真结果证明所提方法的有效性,通过对传统优化方法与基于交互利益优先级的园区协调响应策略开展对比实验,结果证明了提出的交互利益优先级理论可以更加快速地寻找到多代理的最优需求响应组合,配电网节点边际电价可以更好地引导多园区实现对配电网的有效支撑。

关键词: 多园区, 节点边际电价, 分布式资源, 交互利益优先级, 需求响应, 协调运行

Abstract:

Consisting of distributed energy resources (DERs), parks with self-generated capacity are participating in the process of market-oriented distribution network coordinated operation. How to achieve the equilibrium between distribution network operator (DNO) and multiple parks under the assurance of safe operation and enthusiasm incentive is an important issue. To solve this problem, this paper introduces the distribution locational marginal price (DLMP) to achieve the optimal guidance of multiple parks on the basis of the price-based incentive mechanism. First, DNO is responsible for the coordinated operation of multiple parks, the DLMP is calculated and used to incentive the demand response process of multiple parks. Then, the multi-agent model of DERs in multiple parks is established, and an interactive benefits priority (IBP) principle is proposed to find the optimal coordinated operation strategy of DERs in each park according to the incentive price from DNO. Finally, the effectiveness of proposed method is illustrated by simulation results. Comparative experiments are carried out between the traditional strategy and the proposed strategy. Experiments show that the proposed strategy can find the optimal combination of DERs more quickly, and DLMP can better guide the coordinated operation of multiple parks in the distribution networks.

Key words: multiple parks, distribution locational marginal price, distributed energy resources, interactive benefits priority, demand response, coordinated operation

中图分类号:

TM715

余彬, 翁利国, 练德强, 王思斌, 黄媛, 姚昊天. 计及价格引导机制的含分布式资源园区协调运行策略[J]. 电力建设, 2023, 44(2): 145-154.

YU Bin, WENG Liguo, LIAN Deqiang, WANG Sibin, HUANG Yuan, YAO Haotian. Coordinated Operation Strategy of Multiple Parks Considering Distributed Energy Resources and Price-based Incentive Mechanism[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(2): 145-154.

图/表 14

图1 基于激励机制的多园区协调运行构架

Fig.1 Coordinated operation framework of multiple parks considering incentive mechanism

图2 仿真系统接线

Fig.2 Wiring diagram of simulation system

图3 节点边际电价结果

Fig.3 Results of node marginal price distribution

图4 响应前后系统不平衡功率对比

Fig.4 Comparisons of system imbalance power before and after the demand response

图5 园区6不同时刻协调响应流程

Fig.5 Coordinated operation strategy of Park 6 in different time of the sample day

图6 响应前后园区分布式资源功率对比

Fig.6 Comparisons of DER power in Park 6 before and after the demand response

表1 14:00不同策略下净收益及求解时间对比

Table 1 Comparison of net revenue and solving time between three strategies at 14:00

图B1 各园区风电功率典型出力场景

Fig.B1 Typical scenario of WTG output in scheduling horizon

图B2 各园区光伏功率典型出力场景

Fig.B2 Typical scenario of PV output in scheduling horizon

图B3 各园区可调负荷典型场景

Fig.B3 Typical scenario of FL in scheduling horizon

图B4 各园区储能功率典型出力场景

Fig.B4 Typical scenario of ESS output in scheduling horizon

表B1 电价相关参数

Table B1 Electricity price-related parameters

表B2 储能相关参数

Table B2 Energy storage-related parameters

表B3 配电网相关参数

Table B3 Distribution network-related parameters

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计及价格引导机制的含分布式资源园区协调运行策略

Coordinated Operation Strategy of Multiple Parks Considering Distributed Energy Resources and Price-based Incentive Mechanism

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