| 引用本文: | 刘珮云,丁涛,贺元康,陈天恩.基于综合需求响应的负荷聚合商最优市场交易策略[J].电力自动化设备,2019,39(8): |
| LIU Peiyun,DING Tao,HE Yuankang,CHEN Tianen.Optimal trading strategy for load aggregator based on integrated demand response[J].Electric Power Automation Equipment,2019,39(8): |
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| 摘要: |
| 在区域综合能源系统(IES)层面上，从市场角度入手，提出建立电-气-热多能源日前市场，阐述了负荷聚合商(LA)参与多能源日前市场的基本交易机制。在该市场模式下建立综合需求响应(IDR)模型，进而以LA利润最大为优化目标，研究基于IDR的电-气-热最优联合交易策略。为保证市场交易满足区域IES的安全运行要求，建立了电-气-热IES的网络模型。以IEEE 33节点配电网-11节点气网-6节点热网的区域IES为例验证了所提方法的有效性，通过对传统需求响应(DR)和所提多能源市场IDR模型的对比分析，验证了所提多能源市场IDR模型不仅有利于提升LA的市场盈利，而且通过多能源峰谷互济可满足多元负荷需求，平抑负荷波动。 |
| 关键词: 综合需求响应 多能源市场 负荷聚合商 区域综合能源系统 天然气网络 集中供热系统 |
| DOI：10.16081/j.epae.201908027 |
| 分类号:TM715;F407.6 |
| 基金项目:国家重点研发计划项目(2016YFB0901100)；中国博士后基金特别资助项目(2017T100748)；国家电网公司科技项目(适用能源互联网的新能源电量库交易市场运营机制研究) |
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| Optimal trading strategy for load aggregator based on integrated demand response |
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LIU Peiyun1, DING Tao1, HE Yuankang2, CHEN Tianen2
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1.School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2.Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
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| Abstract: |
| In the view of marketing, an electricity-natural gas-heat multi-energy day-ahead market on the le-vel of IES(Integrated Energy System) is built, and the basic trading mechanism of LA(Load Aggregator) participating in multi-energy day-ahead market is elaborated. Then, an IDR(Integrated Demand Response) model in the multi-energy market is established, and the optimal joint trading strategy among electricity, na-tural gas and heat is analyzed by taking the maximum profit of LA as the optimization objective. The network model of electricity-natural gas-heat IES is established to ensure that the market transactions satisfy the requirement of safe operation of IES. The effectiveness of the proposed method is verified with an IES composed of an IEEE 33-bus power system, an 11-node gas system and a 6-node heat system. Comparison results between traditional DR(Demand Response) and the proposed IDR model in multi-energy market validate that the proposed IDR model can not only increase gross profit of LA, but also fulfill different types of energy demands and suppress load fluctuation via peak-valley complementary of multi-energy. |
| Key words: integrated demand response multi-energy market load aggregator integrated energy system natural gas network district heating system |
