<P><B>Highlights</B></P><P>► Modeling of customer information to represent customer response characteristics. ► New concept of virtual generation resources to express the amount of demand response. ɛ...
http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
https://www.riss.kr/link?id=A107759365
2012
-
SCOPUS,SCIE
학술저널
161-170(10쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P><B>Highlights</B></P><P>► Modeling of customer information to represent customer response characteristics. ► New concept of virtual generation resources to express the amount of demand response. ɛ...
<P><B>Highlights</B></P><P>► Modeling of customer information to represent customer response characteristics. ► New concept of virtual generation resources to express the amount of demand response. ► Determine the optimal combined scheduling of generation demand response. ► Equivalent marginal cost function to express virtual generation resources. ► Demand response and generation constraints in a demand response program.</P> <P><B>Abstract</B></P><P>Demand response (DR) extends customer participation to power systems and results in a paradigm shift from simplex to interactive operation in power systems due to the advancement of smart grid technology. Therefore, it is important to model the customer characteristics in DR. This paper proposes customer information as the registration and participation information of DR, thus providing indices for evaluating customer response, such as DR magnitude, duration, frequency and marginal cost. The customer response characteristics are modeled from this information. This paper also introduces the new concept of virtual generation resources, whose marginal costs are calculated in the same manner as conventional generation marginal costs, according to customer information. Finally, some of the DR constraints are manipulated and expressed using the information modeled in this paper with various status flags. Optimal scheduling, combined with generation and DR, is proposed by minimizing the system operation cost, including generation and DR costs, with the generation and DR constraints developed in this paper.</P>