Abstract
The development of strategies for distribution network management is an essential element for increasing network performance and reducing the upgrade of physical assets. This paper analyzes a multi-timescale framework to control the voltage of distribution grids characterized by a high penetration of renewables. The multi-timescale solution is based on three levels that coordinate Distributed Generation (DG) and Energy Storage Systems (ESSs), but differs in terms of the timescales and objectives of the control levels. Realistic load and photovoltaic generation profiles were created for cloudy and clean sky conditions to evaluate the performance features of the multi-timescale framework. The proposed solution was also compared with different frameworks featuring two of the three levels, to highlight the contribution of the combination of the three levels in achieving the best performance.
Highlights
The present paper aims at taking a further step towards the implementation of effective solutions for the voltage control of Low Voltage (LV) distribution grids by presenting a multitimescale framework composed of three-level control: day-ahead scheduling, Model Predictive Control (MPC), and online feedback-based control
This paper presented a three-level hierarchical control architecture containing a scheduling algorithm, an MPC, and an online feedback control for fast dynamics
The proposed control structure aimed at controlling the voltage of an LV distribution grid while tracking a scheduled reference for the State of Charge (SoC)
Summary
The growing allocation of Renewable Energy Sources (RESs) and the introduction of more and more Distributed Generation (DG) is leading to important challenges for network management. Low Voltage (LV) grids, in particular, are exposed to an increasing penetration of Photovoltaic (PV) generation, thereby becoming active distribution networks that require new solutions for maintaining the voltage within the limits defined by grid standards [1,2,3]. The RESs introduce a high level of uncertainty and can generate peaks several times higher than the load, which could eventually lead to the risk of overvoltages [4,5]. A common solution adopted by Distribution System Operators (DSOs) to deal with this issue is the reinforcement of the grid by updating physical assets such as transformers or cables [6]. Smart control techniques have proven to be an attractive alternative, being less invasive and more environmentally friendly, and economically more convenient than the installation of additional lines or devices [7,8]
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