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AbsRocGWith rise in the number of commercial and industrial companies using diesel generating sets to maintain the continuity or reduce the cost of their electricity supply, a more sophisticated control of the generator is sought. Traditionally analogue technology has been employed to provide generator speed and excitation control however by employing digital technology, much improved generator control can he achieved. This paper is concerned with the implementation of a digital PID governor. The results show that with even a simple digital PID control algorithm and the tuning there off, the ease of tuning can be improved via computer simulation and that the controller itself can match and out perform its analogue counterpart. The ultimate goal of the work is the integration of the governor and Automatic Voltage Regulator. By using modern control techniques such as Fuzzy logic, full integration of the two controllers is sought and hence U more intelligent generator control system.

This paper proposes a model predictive control technique to optimally dispatch of battery energy storage systems (BESS) installed on the medium voltage distribution network to manage the violations in addition to enhancing the power quality and stability. A two-phase strategy is developed to manage the BESS inverter power on the four active/reactive power quadrants. A multiobjective function is formulated in order to optimize the system voltage, power factor and line losses. The uncertainties associated with demand and generation forecasting are considered in the proposed strategy by introducing a real-time operational phase. The network, BESS, and inverter technical constraints are considered, and the proposed strategy is validated by simulating different scenarios on an 11 kV, 53-node distribution network located in Northern Ireland.

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