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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...
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 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...
When energy storage units (ESUs) within the distribution grid, e.g. batteries, provide local services such as PV integration support, peak shaving, and infrastructure upgrade deferral, they are inactive or only partially used most of time. Moreover, they are often not profitable because of their high investment costs. Their unused capacities could be used to provide power system services, such as...
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