A novel bi-level optimization model for load supply capability issue in active distribution network

Abstract

Summary This paper develops a novel bi‐level optimization model for load supply capability (LSC) based on the economic dispatch of distributed generation in active distribution network. The upper subproblem describes the LSC. The lower subproblem denotes the economic dispatch, which is set up as one of the constraint conditions in LSC problem. Thus, the maximum LSC can be obtained on the premise that each operation point achieves the optimal scheduling. Moreover, load static voltage characteristics are considered in this model, which can avoid the inaccuracy of power flow distribution caused by constant power model. To describe the random property of nondispatchable distributed generation, chance constrained programming is adopted in the bi‐level optimization model. Hierarchical iteration algorithm is applied to solve the bi‐level optimization model. The upper and lower subproblems are calculated by particle swarm optimization based on stochastic simulation. A modified IEEE‐33 bus distribution network is tested to demonstrate the effectiveness and superiority of the proposed model. The analysis results demonstrate that the model conforms to the practical operation of active distribution network.

Total load energy supply capability and security level classification of integrated power and natural gas systems considering N ‐1 contingency of power system

“…And the weak link of the network in this area and the restriction factors of power supply capability are analyzed by means of the relevant indexes of the total supply capability. In Reference 9, a bi‐level optimization model for load supplying capability of active network based on chance‐constrained programming is proposed for solve the contradiction between maximizing power supply capacity and pursuing economic operation. This model obtains the load supplying capability that meets the requirements of active network.…”

Optimal planning in active distribution networks considering nonlinear loads using the MOPSO algorithm in the TOPSIS framework

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