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Due to high power in-feed from photovoltaics, it can be expected that more battery systems will be installed in the distribution grid in near future to mitigate voltage violations and thermal line and transformer overloading. In this paper, we present a two-stage centralized model predictive control scheme for distributed battery storage that consists of a scheduling entity and a real-time control...
This paper presents a novel method to describe battery degradation. We use the concept of degradation maps to model the incremental charge capacity loss as a function of discrete battery control actions and state of charge. The maps can be scaled to represent any battery system rating in capacity and power. Their convex piece-wise affine representations allow for tractable optimal control formulations...
This paper proposes a novel algorithm to optimally size and place storage in low voltage (LV) networks based on a linearized multiperiod optimal power flow method which we call forward backward sweep optimal power flow (FBS-OPF). We show that this method has good convergence properties, its solution deviates slightly from the optimum and makes the storage sizing and placement problem tractable for...
This paper proposes a method to investigate the potential of Reactive Power Control (RPC) to maximize the utilization of installed PV sources in distribution grids. Different RPC approaches are examined in combination with distributed storage, grid expansions and curtailment. Simulations are carried out on reference distribution grids, representing remote, rural and urban networks. Varying shares...
We investigate how a wind power plant with energy storage can be optimally controlled to comply with power gradient restrictions. For this purpose we use the kinetic energy stored in the turbine rotor and an additional battery storage. As a main contribution we propose a two level control scheme combining a supervisory controller with a low level controller. A model predictive controller acts as a...
Due to high power in-feed from photovoltaics, it is expected that more battery systems will be installed in the distribution grid in near future. In this paper, we present a method to optimally control multiple battery sets in real-time to collectively provide services to power systems. The method is based on a Model Predictive Control (MPC) framework that tries to track an aggregated signal, while...
This paper presents a novel approach for the predictive power dispatch of a large number of power system units that can be diverse in their power as well as power ramp ratings and can be dispersed both in distribution grids and transmission networks. In particular, the involved unit portfolio consists of Renewable Energy sources (RES), conventional generation sources, flexible loads, and storage devices,...
This paper proposes a novel algorithm to identify degradation in batteries used for power system applications. Unlike conventional battery control methods that try to extend battery lifetime by applying heuristic rules, this approach allows us to maximize battery lifetime within an optimal control framework. We use an online Least Squares (LS) identification method to develop a two-dimensional degradation...
The shift in the electricity industry from regulated monopolies to competitive markets as well as the widespread introduction of fluctuating renewable energy sources bring new challenges to power systems. Some of these challenges can be mitigated by using demand response (DR) and energy storage to provide power system services. The aim of this paper is to provide a unified framework that allows us...
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