Hybrid solar-battery power source is essential in the nexus of plug-in electric vehicle (PEV), renewables, and smart building. This paper devises an optimization framework for efficient energy management and components sizing of a single smart home with home battery, PEV, and potovoltatic (PV) arrays. We seek to maximize the home economy, while satisfying home power demand and PEV driving. Based on the structure and system models of the smart home nanogrid, a convex programming (CP) problem is formulated to rapidly and efficiently optimize both the control decision and parameters of the home battery energy storage system (BESS). Considering different time horizons of optimization, home BESS prices, types and control modes of PEVs, the parameters of home BESS and electric cost are systematically investigated. Based on
SUMMARYThe basic idea of the fractional frequency transmission system (FFTS) is to use lower frequency, e.g. 50/3 Hz, to reduce the electrical length of the AC transmission line, thus to increase its transmission capacity. FFTS is particularly suitable for transmitting electricity produced by the renewable energy, such as hydro power and wind power, because the rotation speeds of their generators are very low. The paper first introduces the characteristics of integrating large wind farm via FFTS. Then, a case study for feasibility of integrating wind farm via FFTS is carried out in considerable details. The results show that the proposed FFTS-based approach for wind power integration is effective with high potential for practical implementation. Copyright
The extensive existence of governor deadband has a significant influence on the minimum frequency of power system after a disturbance. However, the strong nonlinearity of deadband makes it difficult to quantify its impact on the frequency response. For this end, the backlash non‐linearity is adopted to represent for the governor with deadband. The non‐linear characteristics of governor with deadband are thus well approximated. The describing function method is applied to linearise the backlash non‐linearity. Then a first‐order model of governor system is derived to consider the deadband effect quantitatively. Minimum frequency estimation algorithm is proposed based on the first‐order model. The proposed algorithm is effective to reflect the effects of various widths of deadbannd on the minimum value of frequency. Case study is conducted to prove its adequate performance in minimum frequency estimation with a practical power grid in China.
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