Multi-Time Scale Optimal Dispatching of Active Distribution Network Considering Demand-Side Response

doi:10.12204/j.issn.1000-7229.2023.03.004

Abstract

Abstract:

Considering the fluctuation of distributed generation output, the error of load forecasting and the difference of operation characteristics of various scheduling resources in time scale, in this paper, a multi-time scale optimal dispatching model of active distribution network under demand-side response mechanism is proposed. Firstly, the forms of load participating in demand-side response are divided into price type and incentive type, and the two forms of demand-side response are modeled and analyzed separately. Secondly, a multi-time scale scheduling framework based on model predictive control for active distribution network is established. On the basis of the model predictive control method, three optimal dispatching models of daily distribution, intraday rolling and real-time feedback are established separately. Considering the coupling characteristics of the active and reactive powers in the process of distribution network dispatching, the voltage of each node of distribution network is controlled within the allowable range by controlling reactive power dispatching resources. Finally, through the simulation of the improved 31-node example, it is verified that the proposed model can effectively reduce the prediction error and improve the economy and safety of active distribution network operation.

Key words: load forecasting, demand-side response, incentive type, reactive power coupling

CLC Number:

TM73

LI Zhenkun, HUANG Ying, LI Liang, FU Jian, WANG Xuanxuan. Multi-Time Scale Optimal Dispatching of Active Distribution Network Considering Demand-Side Response[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(3): 36-48.

Figures/Tables 23

Fig.1 Flow chart of multi-time scale optimal scheduling

Fig.2 Flow chart of real-time feedback

Fig.3 Calculation flow of real-time feedback model

Fig.4 Structure diagram of improved 31-node distribution system

Table 1 Forecast errors of wind power, PV and load

Fig.5 Forecast curves of wind power, PV and load

Table 2 Time-of-use tariff information

Fig.6 Comparison before and after day-ahead load participating in demand-side response

Fig.7 Day-ahead active power output of dispatching resources

Fig.8 Charging and discharging plan and state-of-charge of ESS1

Fig.9 Tap-changer position of transformer T1 and the number of switching groups of capacitor bank C1

Fig.10 Day-ahead reactive power output of dispatching resources

Fig.11 Voltage value of each node of distribution network in each period

Fig.12 Intraday load dispatching result

Fig.13 Intraday output of dispatching resources

Fig.14 Real-time load dispatching result

Fig.15 Voltage value of each node before and after optimal dispatching

Fig.16 Real-time output of each dispatching resource

Table 3

Table A1 Load classification and participating incentive DR compensation price parameters

Table A2 Parameters of equipment in active distribution network

Table A3 Rigid load percentage of each node

Fig.A1 Output curve of photovoltaic, fan and load

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