Optimized operation strategy of multi⁃type demand side resourcesin virtual power plant considering air conditioning load
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(1. Electric power research institute, State Grid Guangxi Electric Power Co., Ltd., 530000, China; 2. School of Electrical Engineering, Southeast University, Nanjing, 210096, China)

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This work is supported by Science and Technology Project of Guangxi Power Grid Corporation(No. GXKJXM20170391)

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    Abstract:

    Aiming at the problem of operating in coordination with building air conditioner(BAC)and other types of demand side resources, in virtual power plant(VPP)the variation characteristics of indoor temperature and electricity consumption under the start stop control and continuous regulation mode of BAC are compared based on modeling and analysis of BAC, thus the regulation mode adapted to coordinating the operation of BAC and other demand side resources in VPP is chosen. Furthermore,considering user’s comfort grading and demand response compensation price, taking the lowest cost of regional energy supply as the objective function, a coordinative optimization model of multitype demand side resources in VPP considering air conditioning load is established. Linearization method is used to deal with the nonlinear function and optimization model is transformed into mixed integer linear programming model. The example shows that the coordinated energy supply mode of BAC and other demandside resources in VPP considering users’comfort can effectively reduce regional load shedding and the power consumption of building, so that building users can obtain compensation benefits.

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吴宛潞,韩 帅,郭小璇,孙乐平,高赐威.计及空调负荷等多类型需求侧资源的虚拟电厂优化运行策略[J].电力需求侧管理英文版,2020,22(1):10-14.

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History
  • Received:August 25,2019
  • Revised:October 03,2019
  • Adopted:
  • Online: January 21,2020
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