KEYWORDS: Logic, Mathematical optimization, Photovoltaics, Control systems, Power grids, Medium wave, Evolutionary algorithms, Distributed interactive simulations, Power supplies, Algorithm development
The integration of distributed generators (DGs) poses great challenges to the topology, operation planning, control methods, and protection configuration of traditional distribution networks (DN). To solve the optimization control problem of large-scale multi-type DGs, energy storage systems (ESSs), and multi-type loads in DNs, this paper proposes a distributed active and reactive power optimization (ARPO) control method for active distribution networks (ADN). Firstly, the ADN is modeled, taking into account the reactive power (RP) support effects of DGs and ESSs inverters and the suppression of active power (AP) fluctuations in the ESSs, in addition to various grid operation constraints. Afterward, based on the established model, the improved Harris Eagle optimization algorithm (IHHOA) is used to optimize the AP and RP of the ADN to minimize economic efficiency (including operating costs and network loss costs) and voltage fluctuations. The proposed model and method not only ensure the economic operation of the ADN but also improve the voltage quality of the ADN and the self-consumption level of DGs. Finally, simulation verifies the effectiveness and feasibility of the proposed control method.
With the implementation of the "double carbon" plan, a large number of wind turbines, photovoltaic generators and energy storage devices are connected to the distribution network (DN), posing new challenges to the stability and economic operation of the DN. The uncertainty of wind power generation and photovoltaic power generation puts forward higher requirements for dispatching control of DN. The addition of energy storage devices can restrain the fluctuation of wind and solar output, but considering its high cost, it is necessary to reasonably use energy storage resources. In order to reasonably dispatch the resources in the DN and reduce the economic cost and network loss, a DN optimal dispatch method based on improved Harris Hawk algorithm (IHHO) is proposed. Firstly, Sobol sequence is used to form uniformly distributed initial population (IP) position; Secondly, the nonlinear energy factor is used to make the algorithm still have the ability to jump out of the local optimum in the later stage; Finally, the Newton iteration method is used to enhance the local search energy in the development stage. The example analysis shows that the optimal control algorithm can effectively reduce the network loss and operation cost of the DN on the basis of the safe operation of the DN.
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