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Recent studies have shown that multi-step optimization based on Model Predictive Control (MPC) can effectively coordinate the increasing number of distributed renewable energy and storage resources in the power system. However, the computation complexity of MPC is usually high which limits its use in practice. To improve the efficiency of MPC, in this paper, we apply a distributed optimization method...
The increasing integration of Renewable Energy Resources (RER) and the role of Electric Energy Storage (EES) in distribution systems has created interest in using energy management strategies. EES has become a suitable resource to manage energy consumption and generation in smart grid. Optimize scheduling of EES can also maximize retailer's profit by introducing energy time-shift opportunities. This...
In this paper, a management strategy to be used in the scheduling of insular electrical systems with energy storage system (EES) is presented. Integration of ESS allows reducing generation costs and greenhouse gases (GHG) emissions, as well as improving wind power penetration levels. The methodology presented in this paper is particularly useful for those systems provided with battery ESS, due to...
We describe a new approach to robust unit commitment for an electricity network, which couples the switching decisions to a set of time-coupled redispatch rules in order to minimize the expected cost of operation over a planning horizon. We assume bounded uncertainties arising from imperfect predictions of loads and intermittent renewable infeeds. We refer to the time-coupled redispatch rules as affine...
The variable nature of wind and solar generation could exploit the economic potential of bulk electric energy storage (EES) systems. This paper presents an optimal planning model, a dc optimal power flow (OPF) based multi-period optimization formulation, and its software implementation. The model co-optimizes the investment in all resources including EES while taking their optimal operation into consideration...
This paper presents a hierarchical optimization method for determining optimal operation of a distributed energy system which consists of a distribution network and customers with dispersed generation and storage systems. The optimal operation problem of a distributed energy system is divided into two subproblems; optimal operation of a dispersed energy system for a customer and optimal operation...
Integration of a large amount of wind power to the power grid presents many challenges to the power system planners and operators. These challenges stem primarily from the natural characteristics of wind energy, which causes variable and intermittent power output, and secondarily from the missing infrastructure to bring the power from the optimal locations for wind generation to the loads. Storage...
The Navy's next generation electric ship's power system will support high energy loads and critical equipment. Energy storage modules will be needed to meet the demands of these loads as well as increase the overall high quality of service. This paper describes an approach to evaluate the impact of energy storage module location and sizing for ship survivability and quality of service. Specifically,...
A Knowledge Based Expert System (KBES) is proposed for the scheduling of an Energy Storage System (ESS) installed in a wind-diesel isolated power system. The program optimizes the cost of operation by determining the diesel generation and the charging/discharging cycles of the storage system from the wind and load profiles one hour ahead. The rules created aim to minimize the use of the dump load...
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