基于需求响应的风电-抽水蓄能系统调度模型

doi:10.16180/j.cnki.issn1007-7820.2019.04.017

Abstract

Abstract:

Aiming at the problem that large scale integration of wind generation would adversely affected the stable operation of power grids, a new wind power consumption model for power grids was proposed based on a recent user-side power load forecast and the real-time pricing forecast. With the goal of minimizing the cost of electricity generated by the wind power and pumped-storage combined system, the choice of the optimal self-elasticity coefficient and mutual elasticity coefficient was determined in the process of its target solution. The electric consumer was guided to achieve the load transfer based on the demand price elasticity of the real-time pricing. Considering the elasticity constraints of the user-side electricity price, the genetic algorithm was applied in the proposed method. The simulation results showed that the load valley-to-peak difference could be reduced if the demand side resources actively participated in optimal operation, which could facilitate the stable operation of the system and reduce the power generation cost, so as to improve the economy of the joint system.

Key words: demand response, real time pricing, wind power, pumped storage, joint operation, wind power consumption

CLC Number:

ZHOU Zhengwei,HAO Yaqun,ZHANG Xueying. A Dispatch Model for Wind Power and Pumped-storage System Based on Demand Response[J].Electronic Science and Technology, 2019, 32(4): 77-81.

Figures/Tables 6

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模式	总运行成本/元	常规机组运行成本/元	抽水蓄能机启停成本/元
1	4 565 216	4 558 916	6 300
2	4 402 323	4 396 463	5 860

A Dispatch Model for Wind Power and Pumped-storage System Based on Demand Response

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