Abstract
Large-scale renewable energy sources (RESs) have been integrated into the active distribution network (ADN). For promoting the local consumption of RESs within ADN, an optimal dispatching strategy was proposed with two-stage hierarchical energy management framework. On the spatial boundary, a two-layer energy management framework was designed with the local optimization layer and the global optimization layer. The local optimization layer was for optimal power flow in the branch feeder with the objective functions of minimizing operation costs and maximizing the consumption of RESs. The global optimization layer was for optimal power flow in the main feeder with the objective functions of minimizing power loss and the voltage deviation of nodes. On the time scale, two-stage optimal dispatching models were established, including the day-ahead optimal models and intra-day optimal models. The day-ahead optimal models identified the operation status of the controllable units, and then the intra-day optimal models were updated with the ultra-short-term forecast results. A risk indicator was introduced to quantify the uncertainty of RES, and a non-dominated sorting genetic algorithm with elite strategy was adopted to solve the multi-objective nonlinear programming problem. An actual project in northern China was used as the testing system. The results of case studies verify that the proposed strategy can effectively realize the maximum local consumption of RESs and support the economic operation of ADN.
Highlights
The high penetration of renewable energy can pose challenges for the operation of a distribution network due to uncertainty and variability
This paper proposed a two-stage hierarchical optimal dispatching model to promote the local consumption of Renewable energy sources (RESs) within active distribution network (ADN)
The decision variables include the consumption power of RESs connected with the main feeder, the power supported by grid, the power of node injected into the branch feeders, and the outputs and the status of schedulable units connected at the main feeder, such as on/off status of controllable distributed generators (CDGs) and their generation power, charge/discharge status of energy storage systems (ESSs) and their outputs, and operation status of demand-side response loads (DRLs) and their power
Summary
The high penetration of renewable energy can pose challenges for the operation of a distribution network due to uncertainty and variability. This paper proposed a two-stage hierarchical optimal dispatching model to promote the local consumption of RESs within ADN. The rest of this paper is organized as follows: Section 2 presents the hierarchical energy management framework for optimal dispatching of ADN. Two-stage hierarchical optimal model will be established for the dispatching strategy of ADN to promote the local consumption of RESs. In the following discussion, day-ahead dispatching plans for the global optimization layer and the local optimization layer will be designed, and an intra-day optimal dispatching strategy of and will be developed. There is a two-stage optimal dispatching model with the consideration of reducing the negative influence of the forecast error of RESs, in which the day-ahead optimization is for the states of controllable units and the intra-day optimization is for the updated dispatch strategy. Discharge status of ESSs and their outputs, and the operation status of DRLs and their power
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