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A new methodology for optimal development of distribution networks with low carbon technologies is proposed in this paper. The complete planning model is developed as a two-stage optimization process, where the first stage deals with the investment problem and the second stage focuses on the operational aspects. The novelty of the proposed investment model is explicit incorporation of network security...
This paper presents two improved models based on the first-order multi-variable grey model (GM(1, N)) for forecasting the electricity demand. The first model named IGM1(1, N) is developed through the optimization of background value by Lagrange mean value theorem (LMVT). Another model named IGM2(1, N) is established through the calculation of its boundary value using least square method (LSM). Despite...
This paper proposes an optimal power flow (OPF) framework in presence of grid scale energy storage system(s) in electric grids. It evaluates the impact of centralized storage versus distributed storage in OPF framework. Proposed OPF formulation includes a detail storage model to asses it's loss of life and associated cost due to frequent charging and discharging. Storage devices are optimally used...
This paper analyses the performance of a Q-f droop based anti-islanding protection (AIP) scheme when the islanded circuit contains both inverter based DG and directly connected synchronous generator (SG) based DG. It is found that the performance of the AIP method is significantly degraded when SG is present in the island. This is because frequency cannot be directly manipulated by injecting reactive...
This paper presents a method for on-line lithium-ion battery (LiB) internal impedance identification for accurate state of health (SOH) and state of charge (SOC) estimation. The proposed method extracts values of internal impedance caused by battery aging, using optimization linked to an extended Kalman filter (EKF). In a long update cycle, elements in an equivalent electrical circuit model are optimized...
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