Multi-objective Optimization Configuration of Distributed Generation for Active Distribution Network Considering Operational Risk

doi:10.3969/j.issn.1000-7229.2019.05.015

Abstract

Abstract: Considering the uncertainty in the operation of distribution network， a risk assessment model is established to evaluate the system operation risk of accessing distributed power by the improved Monte Carlo method using the power flow calculation and topology analysis. A multi-objective optimal allocation model of distributed generation considering the operational risk of active distribution network is proposed. The operational risk RL and operational cost CDG of active distribution network operation are taken as objective functions. An improved particle swarm optimization algorithm is used to solve the multi-objective optimization model to obtain the configuration of distributed generation and the trade-off between operational risk and operating costs. The simulation results show that the proposed multi-objective optimal allocation method for distributed generation considering the operational risk of active distribution network is more reasonable than the single optimization model considering only economy or reliability. It is suitable for seeking the optimal location and capacity of distributed generation， and the feasibility of the model is verified.

Key words: risk assessment, improved Monte Carlo method, distributed generation, improved particle swarm optimization algorithm, optimization configuration

CLC Number:

TM 715

FANG Jintao， GONG Qingwu. Multi-objective Optimization Configuration of Distributed Generation for Active Distribution Network Considering Operational Risk[J]. Electric Power Construction, 2019, 40(5): 128-.

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