Multi-source Optimal Coordinated Frequency Regulation for Power Grid with High Penetration of Renewable Energy

doi:10.12204/j.issn.1000-7229.2021.10.006

Abstract

Abstract:

With the increasing penetration of large-scale renewable energy into the power grid, large-scale wind and solar power stations also begin to participate in the frequency regulation of the power grid. In order to solve the dynamic power allocation problem of different frequency-regulation resources, a multi-objective complementary control model with minimum total power deviation and regulation mileage payment is established. To solve the nonlinear optimization problem, the multi-objective manta ray foraging optimization algorithm (MMRFO) is adopted in this paper to quickly obtain high quality Pareto front to meet the real-time online frequency-regulation requirements of the power grid and improve the dynamic response capability of the regional power grid. Then, applying the entropy weight method, the grey target decision-making theory is designed to objectively select the compromise solution which takes into account both operation economy and power quality under different power perturbations. Finally, the validity of the proposed method is verified by an extended two-area load frequency control model.

Key words: power grid with high penetration of renewable energy, collaborative frequency-regulation strategy, multi-objective manta ray foraging optimization (MMRFO), grey target decision-making

CLC Number:

TM73

HE Tingyi, LI Shengnan, CHEN Yiping, WU Shuijun, MU Runzhi, HE Peng, MENG Xian, HE Xin, YANG Bo, CAO Pulin. Multi-source Optimal Coordinated Frequency Regulation for Power Grid with High Penetration of Renewable Energy[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(10): 51-59.

Figures/Tables 13

Fig.1 Framework of frequency regulation on extended two-area LFC model

Table 1 Dynamic response transfer functions of different frequency-regulation units

Fig.2 Dynamic response models

Fig.3 Flow chart of MMRFO

Fig.4 The selection of decision options

Table 2 Parameters of transfer functions of frequency-regulation units

Table 3 Main parameters of power regulation of frequency-regulation units

Fig.5 Comparison of the Pareto front obtained by four algorithms on the extended two-area LFC model

Table 4 Comparison of performance metrics of algorithms

Fig.6 Real-time optimization results obtained on the extended two-area LFC model when ΔPD=70 MW

Fig.7 Real-time optimization results obtained on the extended two-area LFC model when ΔPD=-50 MW

Fig.8 Mileage payment of frequency regulation under four perturbations cases

Table 5 Result comparison of online optimization under different perturbations

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