Abstract
The installation capacity of wind and solar photovoltaic power is continually increasing, which makes renewable energy grid connection and power generation an important link of China’s power structure optimization. A virtual power plant (VPP) is an important way to help distributed energy resource grid connection and promote renewable energy industry development. To study the economic scheduling problem of various distributed energy resources and the profit distribution problem of VPP alliance, this study builds a separate operation scheduling model for individual VPP and a joint operation scheduling model for VPP alliance, as well as the profit distribution model. The case study verifies the feasibility and effectiveness of the proposed model. The sensitivity analysis provides information about VPP decision-making in accordance with the policy environment development trend.
Highlights
With the increasing pressure of energy shortage and environmental pollution, renewable energy is strongly supported by the government of China
This study considers the influence of government policies on system profit when building the objective function and builds an operation optimization model for virtual power plant (VPP) alliance
The adjustable output, namely, energy storage system (ESS) discharge and interruptible load (IL), is called at 7:00–10:00 and 16:00–20:00, where ESS discharge is called in both float load period and peak load and IL is called in the peak load period (10:00 and 18:00–20:00)
Summary
With the increasing pressure of energy shortage and environmental pollution, renewable energy is strongly supported by the government of China. This study considers the influence of government policies on system profit when building the objective function and builds an operation optimization model for VPP alliance. The profit comparison shows the effectiveness of the proposed profit distribution method, and the sensitivity analysis discusses the influence of TOU price and government subsidy policies on VPP alliance profit.
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