Two-Stage Stochastic Optimal Scheduling for Integrated Power and Natural-Gas System Considering Incentive Demand Response

doi:10.3969/j.issn.1000-7229.2020.04.010

Abstract

Abstract: The integration and interconnection of electric power and natural-gas networks provides a new way for the accommodation of new energy such as wind power. This paper establishes a two-stage stochastic optimal scheduling model of integrated power and gas system（IPGS）considering the reserve service of power to gas（P2G）facilities and incentive demand response（IDR）. The objective function of this model contains the cost of day-ahead scheduling based on the wind power forecast data and the compensatory cost of real-time scheduling based on the wind power scenario set. Meanwhile， this paper establishes a piecewise linear economical compensation model of incentive demand response considering the demand response uncertainty. The simulation system consists of an IEEE 39-node system and a Belgian 20-node gas network. The operation cost and margin of the reserve capacity in gas network is analyzed. And then， the effectiveness of the two-stage compensation schedule is verified. In addition， the influence of the response probability on the second-stage scheduling of integrated power and natural-gas energy system is analyzed.

Key words: integrated power and gas system（IPGS）, two-stage scheduling, power to gas（P2G）, incentive demand response（IDR）, margin of reserve capacity in gas network

CLC Number:

TM 732

XU Zhiheng， ZHANG Yongjun， YU Zhaorong， WANG Gan. Two-Stage Stochastic Optimal Scheduling for Integrated Power and Natural-Gas System Considering Incentive Demand Response[J]. Electric Power Construction, 2020, 41(4): 81-89.

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