Increment-exchange-based decentralized multi-objective optimal power flow algorithm for active distribution grids

doi:10.3969/j.issn.2097-0706.2024.02.006

Abstract

Abstract:

With the access of high-proportion renewable energy to active distribution systems，the benefit allocation and competition between distribution network operators and energy system operators are complex. To increase the utilization rate of distributed energy resources, an increment-exchange-based decentralized multi-objective optimal power flow（MO-OPF）algorithm for distribution grids is proposed. During the solving of an MO-OPF model, network operators and multi-energy system operators will pursue their own operation objectives, while satisfying the voltages and branch power limits throughout the power grid. Since the proposed algorithm is decentralized，it can solve MO-OPF problems without exposing any private information of energy system operators to network operators. The core of the algorithm is to describe the impact of energy system operators on network operators with quadratic functions of coupling variables increments, which are obtained by network operators through accumulated quadratic programming. The case study on an IEEE 33-bus distribution system is carried out to demonstrate that the proposed algorithm can not only provide the Pareto optimal solution as the centralized optimization model does, but can also regulate the system voltage.

Key words: decentralized multi-objective optimization, active distribution network, optimal power flow, renewable energy, increment exchange

CLC Number:

TK01

LU Wentian. Increment-exchange-based decentralized multi-objective optimal power flow algorithm for active distribution grids[J]. Integrated Intelligent Energy, 2024, 46(2): 43-48.

Figures/Tables 5

References 25

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