Local Energy and Planned Ramping Product Joint Market Based on a Distributed Optimization Method
作者机构：Dalian University of TechnologyDalianChina Department of Electronic and Electrical EngineeringUniversity of BathBathU.K. the University of BathBathU.K. the Department of Electrical and Electronic EngineeringYoungsan UniversitySouth Korea Gachon UniversitySeoulSouth Korea
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2021年第7卷第6期
页 面：1357-1368页
核心收录：
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
主 题：Distributed market clearing flexible load aggregator local electricity market planned ramping product renewable energy generation
摘 要：High penetration of renewable energy generation(REG)in the distribution system increases both the power uncertainty at a given interval and the power variation between two *** markets addressing power uncertainty have been widely ***,there is a lack of market mechanisms regarding the power variation of the load and *** paper thus defines a planned ramping(PR)product to follow the net load variation and extends the local energy market to include the trading of PR *** are economically compensated for their PR *** models of dispatchable generators and flexible load aggregators in the joint market are *** solve the market problem in polynomial time,a distributed market clearing method is developed based on the ADMM *** joint market is tested on a modified IEEE 33-bus *** verifies that introducing the PR market can encourage flexible loads to provide more PR service to accommodate the net load *** such,the ramping cost of dispatchable generators is reduced by 29.09%in the test *** planned energy curtailment from REG is also *** computational efficiency of the proposed distributed clearing method is validated by comparing it with a centralized method.
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