A market framework to exploit the multi-energy operating reserve of smart energy hubs in the integrated electricity-gas systems

被引:3
|
作者
Hou, Yanqiu [1 ]
Bao, Minglei [1 ]
Sang, Maosheng [1 ]
Ding, Yi [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China
关键词
Integrated electricity-gas systems; Smart energy hubs; Multi-energy operating reserve; Reserve clearing; Distributed market; OPTIMAL POWER-FLOW; DAY-AHEAD DISPATCH; NATURAL-GAS; RELIABILITY ASSESSMENT; MODEL; MANAGEMENT; EXPANSION;
D O I
10.1016/j.apenergy.2023.122279
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
Faced with increasing uncertainties in the integrated electricity and gas system (IEGS), the multi-energy operating reserve(MOR), i.e., extra electric and gas reserve capacity, is becoming vitally important to guarantee the reliable operation of the system. Smart energy hubs(SEHs) located at the demand side of the IEGS can adjust their electricity and gas consumption through energy substitution, which has great potential to provide the MOR. Current studies mainly concentrate on the energy trading mechanism among different SEHs in the energy-only market, which may not effectively incentivize SEHs to provide MOR for system operation. Besides, due to the limited energy capacity, SEHs cannot directly participate in the wholesale reserve market along with other large capacity resources, e.g., power plants and gas wells. To address these, a two-stage market framework is proposed for exploiting the multi-energy operating reserve of SEHs. In the first stage, the wholesale market is cleared considering the participation of large-capacity resources to determine the clearing results of MOR. Based on the results, an energy-loss-cost calculation model is developed to measure the value of the specific MOR level. By altering the reserve requirements, the values of different MOR levels can be accordingly calculated to formulate the multi-energy operating reserve demand surface(MOR-DS), which can quantify varying MOR values with different levels of the reserve. With the MOR-DS describing the price elasticity of the MOR, a distributed MOR clearing mechanism is developed in the second stage to determine the quantity and price of the reserve from SEHs. The clearing mechanism is constructed as a distributed optimization model considering optimal collaboration among different SEHs. Case studies verify that the proposed market framework can effectively stimulate SEHs to provide MOP through economic incentives, which can realize the reliability improvement of IEGS and the revenue increase of SEHs.
引用
收藏
页数:21
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