Flexibility-constrained Operation Scheduling of Active Distribution Networks with Microgrids

TL;DR

This paper introduces a bi-level stochastic model to optimize the operation of distribution networks with microgrids, aiming to reduce the ramp rate of purchased power amid renewable energy variability.

Contribution

It proposes a novel flexibility-constrained operation model for distribution networks with microgrids, addressing ramp rate challenges through a bi-level stochastic approach.

Findings

Model effectively reduces ramp rate of purchased power.

Application to IEEE 33-bus network demonstrates practical viability.

Enhances integration of renewable energy sources.

Abstract

Regarding the variability of renewable energy sources (RESs), especially in the operation time periods, their high penetration faces the net load pattern of the power system with a major ramp rate challenge. Although employing a market-based mechanism by the independent system operator (ISO) can address this challenge, it may not be possible to handle this challenge in all networks. In such networks, the required flexibility can be supplied by decreasing the ramp rate of the purchased power of distribution companies (Discos) from the market since their net load has an important impact on the system's netload. Therefore, a flexibility-constrained operation problem for the distribution networks with distributed energy resources (DERs) and microgrids (MGs) is proposed in this paper to decrease the ramp-rate of the Disco's purchased power from the market. This problem is formulated using a bi-level two-stage stochastic model where the problem of the Disco and the MGs are modeled as the upper-level and lower-level problems, respectively. The proposed model is applied to the IEEE 33-bus standard test network with three MGs. The results show the effectiveness of the proposed model to decrease the ramp-rate of the Disco's purchased power from the market.