Coordination and Optimization Strategy of VPP Considering Demand Response and Multi-Energy Coordination

doi:10.3969/j.issn.1000-7229.2017.09.009

Abstract

Abstract: ABSTRACT： With the development of energy internet, source-grid-load interaction and multi-energy interaction （such as heat, power, etc.） have become an effective approach to improve the reliability and efficiency of distributed energy resource （DER） system. This paper uses virtual power plant （VPP） to coordinate the operation of each unit, and introduces source-grid-load interaction model to describe the electricity trading and the mutual support between different types of power and loads. Then, this paper introduces combined heat and power （CHP） system, and establishes a multi-energy based interactive optimization model considering demand response （DR） to realize the coordinated interaction of VPP. With considering the maximization of VPP revenue and the minimization of the thermal/load compensation cost of power company, this paper constructs the multi-objective interactive optimization model, and uses genetic algorithm to solve the model. The case study shows the effectiveness of the strategy and model.

Key words: virtual power plant （VPP）, source-gird-load interaction model, demand response （DR）, multi-energy coordination, optimization scheduling

CLC Number:

TM 62

WANG Zhe，YANG Peng，LIU Siyuan，CHU Zhenrong，AI Qian.

Coordination and Optimization Strategy of VPP Considering Demand Response and Multi-Energy Coordination

[J]. Electric Power Construction, 2017, 38(9): 60-.

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