计及分布式发电出力与电价不确定性的负荷聚合商电能获取策略

doi:10.3969/j.issn.1000－7229.2018.01.002

电力建设 ›› 2018, Vol. 39 ›› Issue (1): 10-.doi: 10.3969/j.issn.1000－7229.2018.01.002

• 电力经济研究 ·栏目主持文福拴教授· • 上一篇下一篇

计及分布式发电出力与电价不确定性的负荷聚合商电能获取策略

俞敏1, 倪琳娜2, 方鹏3, 刘福炎1, 文福拴4

（1. 国网浙江省电力有限公司经济技术研究院, 杭州市 310008；2. 国网浙江省电力有限公司电力科学研究院, 杭州市 310014；3.浙江华云电力工程设计咨询有限公司, 杭州市 310008；4. 浙江大学电气工程学院, 杭州市 310027)

出版日期:2018-01-01
作者简介:俞敏 (1968), 女, 学士, 高级工程师, 造价工程师, 主要从事电网工程技术经济等方面的研究工作；倪琳娜 (1985), 女, 博士, 工程师, 主要从事电力需求响应、电能计量等方面的研究工作；方鹏 (1963), 男, 学士, 高级工程师, 主要从事项目管理和输变电设计管理等方面的研究工作；刘福炎 (1984), 男, 硕士, 工程师, 主要从事电力技术经济、投资评价分析等方面的研究工作；文福拴 (1965), 男, 通信作者，教授, 博士生导师, 主要从事电力系统故障诊断与系统恢复、电力经济与电力市场、智能电网与电动汽车等方面的研究工作。
基金资助:
基金项目：国家自然科学基金项目(51477151)；国网浙江省电力有限公司经济技术研究院科研项目(SGZJJY00JJJS1600036)

Electrical Energy Acquisition Strategy for Load Aggregators Considering Combined Uncertainties of Distributed Generation Outputs and Electricity Market Prices

YU Min1, NI Linna2, FANG Peng3, LIU Fuyan1, WEN Fushuan4

(1. Economic and Technical Research Institute of Zhejiang Electric Power Corporation, Hangzhou 310008, China；2. State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China；3. Zhejiang Huayun Electrical Engineering Design Consulting Company Limited, Hangzhou 310008, China；4. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Online:2018-01-01
Supported by:
Project supported by National Natural Science Foundation of China(51477151)

摘要/Abstract

摘要： 摘要：随着电力系统中间歇性可再生能源发电和电动汽车负荷的渗透率不断提高, 新的市场参与者的加入, 电力系统运行和电力市场运营中的不确定因素随之增加, 为负荷聚合商 (load aggregator, LA)的运营和管理带来了新的问题甚至挑战。LA从日前电力批发市场购买电能时需考虑这些不确定因素, 并充分利用需求侧资源, 在追求利益最大化的同时有效控制风险成本。首先, 分布式发电(distributed generation, DG)出力与日前市场电价分别描述为在各自区间内波动的随机变量。之后, 以LA的收益最大化为目标, 建立考虑DG与需求响应的从日前市场获取电能的鲁棒双层优化模型。最后, 以修改的IEEE 33节点配电系统为例说明所提方法的可行性与有效性。

关键词: , 负荷聚合商（LA）, 需求响应, 日前电力市场, 不确定性, 节点电价, 鲁棒优化, 双层优化

Abstract: ABSTRACT： With the ever-increasing penetration level of renewable energy generation and electric vehicles in power system, new participants in electricity market operation, the number of uncertainty factors in power system operation and electricity market transactions is increasing and hence each load aggregator (LA) has to address emerging problems and even challenges. In seeking a profit maximization solution, the LA could make full use of demand side resources in purchasing electrical energy from the day-ahead electricity market, so as to mitigate the negative impacts of these uncertainty factors and hence control the costs caused by risks. Firstly, distributed generation (DG) outputs and day-ahead market prices are formulated as variables within respective intervals. Secondly, a robust bi-level optimization model for electrical energy acquisition from day-ahead electricity market, with the objective of maximizing the profit of each LA, is presented with DG and demand response included. Finally, a modified IEEE 33-bus distribution system is employed to demonstrate the feasibility and efficiency of the proposed method.

Key words: KEYWORDS： load aggregator（LA）, demand response, day-ahead electricity market, uncertainty, node price, robust optimization, bi-level optimization

中图分类号:

TM 73

俞敏, 倪琳娜, 方鹏, 刘福炎, 文福拴. 计及分布式发电出力与电价不确定性的负荷聚合商电能获取策略[J]. 电力建设, 2018, 39(1): 10-.

YU Min, NI Linna, FANG Peng, LIU Fuyan, WEN Fushuan. Electrical Energy Acquisition Strategy for Load Aggregators Considering Combined Uncertainties of Distributed Generation Outputs and Electricity Market Prices

[J]. Electric Power Construction, 2018, 39(1): 10-.

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计及分布式发电出力与电价不确定性的负荷聚合商电能获取策略

Electrical Energy Acquisition Strategy for Load Aggregators Considering Combined Uncertainties of Distributed Generation Outputs and Electricity Market Prices

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