Coordination of specialised energy aggregators for balancing service provision

被引:0
|
作者
Diaz-Londono, Cesar [1 ,2 ,3 ]
Correa-Florez, Carlos Adrian [2 ]
Vuelvas, Jose [2 ]
Mazza, Andrea [3 ]
Ruiz, Fredy [1 ]
Chicco, Gianfranco [3 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Milan, Italy
[2] Pontificia Univ Javeriana, Dept Elect, Bogota, Colombia
[3] Politecn Torino, Dipartimento Energia Galileo Ferraris, Turin, Italy
来源
关键词
Aggregator; Balancingservice; Flexibility; Electricvehiclecharger; Thermoelectricrefrigerator; Waterboosterpressuresystem; OPTIMAL BIDDING STRATEGY; DAY-AHEAD MARKET; MECHANISM DESIGN; BATTERY MODELS; FLEXIBILITY; LOADS; DEFINITIONS; SYSTEMS;
D O I
10.1016/j.segan.2022.100817
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the present context of evolution of the power and energy systems, more flexibility is required on the generation and demand side, to cope with the increasing uncertainty mostly introduced by variable renewable energy resources. This paper presents a conceptual framework that encompasses different types of aggregators, including local network aggregators, demand-side general aggregators, specialised energy aggregators (SEAs), and energy community aggregators. In this framework, this paper focuses on the coordination of SEAs to provide balancing services to the system operator. Each SEA manages a specific type of load, so that these loads can be managed by exploiting their control capabilities in a detailed way considering response time, dynamics and available flexibility. Moreover, the presence of the SEAs increases the privacy protection of the users, as only the information on a specific type of user's load is sent to the SEA. The SEA Coordinator interacts with the Balancing Service Provider aimed at procuring frequency containment, frequency restoration and replacement reserve services. This paper contains the SEA Coordinator formulation, information exchange and control operation strategies. Case study applications are presented by using SEAs for three specific types of loads (thermoelectric refrigerator, water booster pressure systems and electric vehicle charging stations). The results show how the control algorithm of the SEA Coordinator is effective in providing balancing services at different timings with the different types of loads. Various scenarios are considered, comparing an ideal situation without command propagation delays with realistic situations that take into account the command propagation delays. (C) 2022 Elsevier Ltd. All rights reserved.
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页数:16
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