Two-Stage Optimal Dispatching of Active Distribution Network Considering Virtual Power Plant Market Transaction

doi:10.12204/j.issn.1000-7229.2021.09.003

Abstract

Abstract:

At present, the coupling of virtual power plant (VPP) and active distribution network (ADN) has been further deepened. Aiming at the optimal dispatching problem of ADN with VPP as a market participant, it is necessary to study the coordinated interaction between various flexible resources in ADN and uncertainty factors in VPP in different time stages. On this basis, with the goal of minimizing the comprehensive cost of ADN and maximizing the market revenue of VPP, a two-stage dispatching method for ADN considering VPP transaction is proposed. In the day-ahead stage, according to the flexibility boundary of the system, a bi-level optimization model is established considering the dispatching of flexible resources in ADN and day-ahead clearing of the VPP. On this basis, the bidding scheme of VPP and the operation strategy of ADN are adjusted in real time. Finally, an improved IEEE 33-node system is taken as an example for simulation analysis, and the results show that the proposed model can improve the market competitiveness of VPP and the operational flexibility of distribution networks both, which provides a reference for optimal dispatching under the future marketization development of power grid.

Key words: active distribution network, virtual power plant, power market, two-stage dispatching

CLC Number:

TM73

DENG Jingwei, LI Huaqiang, WEN Fengrui, WANG Junxiang, XIE Kangsheng, JIN Zhibo. Two-Stage Optimal Dispatching of Active Distribution Network Considering Virtual Power Plant Market Transaction[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(9): 22-31.

Figures/Tables 14

Fig.1 Framework of two-stage ADN dispatch including VPP

Fig.A1 Flowchart of PSO with stochastic power flow embedded

Fig.2 Flow chart of the two-stage dispatching model solution

Fig.3 Improved IEEE 33-node system

Fig.A2 Day-ahead forecasting curve of PV and load

Table A1 Probability of scenes

Table A2 Related equipment parameters

Table A3 Cost coefficient values

Fig.4 Real-time dispatching of ESS1

Fig.5 Voltage profile at each node in each time period of ADN

Table A4 Dispatching of on-load tap changer position, tie and sectionalized switch position

Fig.6 Electricity transaction of VPP in day-ahead market and real-time market

Fig.A3 Output of each unit of VPP

Table 1 Indicator values of different dispatching schemes 元

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