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This paper proposes a novel optimization technique using Linear Programming (LP) method to solve the optimal scheduling problem of Distributed Energy Resources (DERs) including Battery Energy Storage Systems (BESS). The proposed optimization technique has a dual objective function of economics and peak-shaving. Optimization of the BESS operation is a complex problem as it has special constraints such as Depth of Discharge (DOD) requirements, State of Charge (SOC) limitations, Charge and Discharge rates, etc. The proposed LP method would be a useful tool for distribution operators to optimally dispatch the distributed resources in their systems. The derived charge/discharge schedules of BESS ensure maximum energy arbitrage revenue. The proposed optimization technique is tested on a taxonomy feeder developed by Pacific Northwest National Laboratory (PNNL) with a fictitious microgrid that consists of DERs including a BESS. The optimization problem is modeled and solved using the Matlab optimization toolbox with industry standard load and electricity price data.

Determination of the optimum number and placement of sectionalizing switches in Distribution Automation (DA) feeders is a very challenging task. This is an important step in the feasibility process of DA projects and one has to consider the trade-off between reliability and economics to arrive at the answer. This paper presents a novel iterative approach based on the relative reduction in the normalized customer interruption costs for the optimal switch number and placement problem. An iterative algorithm is constructed which minimizes the total interruption costs at each step of the analysis to arrive at the solution. The proposed approach isolates the impacts of varying switch investment and customer interruption costs that are based on surveys. The proposed method is implemented on IEEE 34-bus and 123-bus test feeders. The mathematical model is developed in Matlab and the results show the computational robustness and efficacy of the solution.