ZHANG Bo;HU Weijun;WANG Jian;DIN Shanshan;SHANG Shanshan;MA Zhenyu;SHEN Yifan;

• 1:State Grid Jinhua Power Supply Company
• 2:State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University)

Abstract：

In the context of constructing a new-type power system, the demand response management strategy focusing on virtual power plants participating in power grid scheduling and operation is of great significance. However, most studies now focus on the demand response potential analysis of single load resources and do not take account of all users in the region. Therefore, this paper proposes an evaluation method of load time and price elasticity applicable to all users. It is found that load rate, time elasticity coefficient, and price cross-elasticity coefficient play a greater role than the price self-elasticity coefficient in the assessment. The load elasticity coefficient is used to identify the flexibility and controllability of customers' electricity load time under the effect of electricity price or incentive. Moreover, typical electricity customers in Jinhua are used for calculation, and the practical value of the demand response potential assessment method is verified.

Key Words： virtual power plant;load elasticity coefficient;demand response potential assessment

Abstract:

Keywords:

Foundation: 国家自然科学基金资助项目（72171082）;; 国网浙江省电力有限公司信息化项目（2021038）

Authors: ZHANG Bo;HU Weijun;WANG Jian;DIN Shanshan;SHANG Shanshan;MA Zhenyu;SHEN Yifan;

References：

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