Abstract
This study presents a new formulation for real-time active network management (ANM) control of distribution networks to maximise energy yield from distributed generation (DG). Coordinated scheduling of renewable DG and distribution network control assets can limit DG curtailment and significantly increase energy yield and economic performance of DG in weak or congested networks. Optimal power flow (OPF) has been employed in the literature for this purpose. However, single time frame snapshot formulations are limited by their narrow interpretation of temporal constraints. Here a formulation is presented for a new receding-horizon OPF technique to better control real-time ANM in distribution networks with high levels of temporally and spatially variable renewable DG. It is shown to improve the coordination between time sequences of system dispatch and improve voltage performance.
Highlights
Distribution networks are undergoing an unprecedented period of change
1) Energy yield Energy yield increases with the connected capacity and in comparison to the fit-and-forget case, energy yield in the Active network management (ANM) schemes was increased by 121% and 118% in the snapshot Optimal power flow (OPF) and receding-horizon OPF (RHOPF) respectively
The 20% higher tap changing actions in the RHOPF are the cost of improved voltage performance
Summary
Distribution networks are undergoing an unprecedented period of change. Increasing levels of renewable distributed generation (DG) [1], evolution to a distribution system operator (DSO) [2], as well as new technologies, such as electric vehicles [3], are increasing operational complexity and creating planning challenges. The approach uses a rolling cycle of 30-minute generation and demand forecasts to produce a series of dynamic horizon forecasts from which network control set points are determined; these are simulated at a high time resolution in pseudo real-time. It incorporates a new time-indexed constraint within the OPF to minimise unnecessary changes in reactive power controls; this desensitises the system to large step changes in voltages.
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