Chance-Constrained Dynamic Economic Dispatch Method for Active Distribution Networks

doi:10.12204/j.issn.1000-7229.2021.04.001

Abstract

Abstract:

The integration of large-scale distributed generation requires dynamic economic dispatch to reduce the total operational cost of active distribution networks. With the wide penetration of renewable energy in distribution network, great challenges have been addressed on the accuracy of economic dispatch with the concern of uncertainty. This paper proposes a stochastic dynamic economic dispatch model of active distribution network, in which the uncertainties of distributed generation output and load forecasting are incorporated. This model becomes a chance-constrained optimization problem and cannot be directly solved. In this paper, authors describe a relaxation algorithm to relax it as a deterministic mixed second order cone programming model. Numerical tests on IEEE 33-node distribution network shows that the model can be effectively solved with predefined constraint-violating-rate, and this method outperforms the traditional robust optimization model.

Key words: active distribution network, dynamic economic dispatch, distributed generation, chance constrained

CLC Number:

TM732

HE Huiqing, QIAN Yun, HE Bingyuan, HE Lezhang, WANG Bin, ZHOU Zhemin. Chance-Constrained Dynamic Economic Dispatch Method for Active Distribution Networks[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(4): 1-8.

Figures/Tables 9

Fig.1 Illustration of linearization of transmission capacity constraints

Fig.2 Modified IEEE-33 test distribution system

Table 1 Consumption characteristic coefficients of as turbines

Fig.3 Forecasting curves of photovoltaic ower at different nodes.

Fig.4 Active power output of main substation and generators

Fig.5 Active and reactive power output of PVs

Fig.6 Per unit value of bus voltages in distribution system at ifferent time of a day

Table 2 Result comparison for different optimization models

Table 3 Result comparison for conditions with different chance probabilities

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