Optimal Operation Strategy of Flexible Interconnected Distribution Network Based on SES-VSC-MTDC

Abstract

The increasing integration of renewable energy is challenging the secure operation of the power system. System flexibility or the capability to address the significant power fluctuations from renewable energy is becoming more and more relevant. Self-energy storage-based multiterminal back-to-back VSC-HVDC (SES-VSC-MTDC) technology is first proposed, and it can realize the power regulation on both temporal and spatial dimensions, which helps improve the power supply reliability and the capacity to accommodate renewable energy of the interconnected distribution networks. Then, to address the coordination control problem of the energy storage and back-to-back VSC-HVDC, a comprehensive control strategy of SES-VSC-MTDC is proposed based on the optimal power flow preprocessing and state of charge interval division. Then, the power regulation model and the energy-power regulation timing model of SES-VSC-MTDC are established for different control strategies. Then, we use the primal-dual interior-point method to solve the developed optimal operation model of flexible interconnected distribution network. Finally, a 33-bus system with four interconnected feeders is used to test the effectiveness of the SES-VSC-MTDC technology and its operation control strategy.

Coordinated allocation of soft open point and converter‐based energy storage systems in PV penetrated active distribution networks

“…So, the influencing factors of the lifetime constraints of ES systems should be considered to provide reliable planning results. (3) Previous studies have not taken into account the practical condition that conventional independent ES systems will also be connected to ADNs to operate coordinated with SOP or SOP-based ES [17][18][19].…”

Artificial intelligence power grid parameter generation and identification method based on polynomial mixed measurement model

“…The detection and identification of bad data and power grid parameters has always been a very important function in state estimation. Generally speaking, they can be divided into several categories: first, conventional theoretical algorithms: based on Lagrangian multiplier method [1][2], improved on this basis, using multi section residual eigenvalue or mixed measurement data [3][4][5]. Conventional theoretical algorithms are simple and intuitive, but prone to errors and omissions, pollution and flooding, As a result, correct identification is not possible.…”