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This letter presents a simple temporal-scenario-based economic criterion for planning distributed renewable generation (DRG) in the zone-type distribution network. The advantage of the proposed criterion is that its formulation does not rely on power flow calculations and optimization iterations, thus can quickly indicate the economic feasibility of the DRG unit. A case study has verified its effectiveness, and also indicates that the proposed criterion could calculate the economic attractiveness or resistance for renewable energy investors in this zone. [ABSTRACT FROM AUTHOR]

The active distribution network is a new solution to the flexible utilization of distributed energy resources to suit the characteristics of the distribution network. Advanced “active” network management is to coordinate “generation, network, load” optimization and achieve the right balance between operational expenditure (OPEX) and capital expenditure (CAPEX). To demonstrate the advancement from introducing an active distribution network, the key features of distribution network planning mainly including traditional models is first introduced. Extensive literature in generic planning is then summarized and categorized in terms of objective functions, system modeling, solution algorithms, and tools. This is followed by an extended review and in-depth discussion of concepts and representative topic developments in optimal active distribution network planning. In contrast to traditional planning, it takes into account the effects from a range of active network interventions that are exercised at differing time scales while capturing the intrinsically stochastic behavior of renewable generation or demand response to produce strategic plans that are robust against a highly uncertain energy future. Finally, a multi-dimensional framework for optimal active distribution network planning is proposed to overcome the limitations of the current state of the art, and the challenges in each stage are also highlighted. [ABSTRACT FROM AUTHOR]

In this article, the impacts of alternative generation integration in a power grid are discussed from the view of complex network theory. Using the improved complex network index, the structural performance of the system could be assessed in planning. Also, the distribution of load and generation are also considered in the modeling. Compared with the existing planning method, the proposed method can not only solve alternative generation units siting issues but also locate the corresponding conventional generation to be curtailed or replaced. Furthermore, as more information is obtained,e.g., related policy or cost parameters, a multi-objective comprehensive decision model is designed, the weight coefficient of which is determined by the two-tuple linguistic decision method. The proposed indices and models can effectively realize fast location and help improve the structural performance of the system with appropriate alternative generation integration. The models and methods are tested and verified by test cases. [ABSTRACT FROM PUBLISHER]

In this article, an optimization model determining renewables penetration limit in power systems is presented. The penetration limit is defined as the enabling renewables output with quantified maximum capacity avoiding the violation of power system operation constraints. Thus, an optimal power flow (OPF)-based model with chance constraints is built and a framework including a Monte Carlo-based genetic algorithm is designed. Moreover, a transient stability verification and correction strategy based on trajectory sensitivity is proposed and modularized in the extended framework. The feasibility of the proposed methodology is verified using several test scenarios, and some related factors are investigated as well. The results indicate that renewables penetration limit can be increased by improving those studied factors. [ABSTRACT FROM PUBLISHER]

In this article, a structure optimization strategy is designed for the faulted distribution system with distributed generation. The strategy is composed of two stages: the island partition and the remaining network reconfiguration. In the first stage, single-source electrical betweenness is proposed, and a partition model is built on the basis of variable network structure characteristics and flexible load features. Then binary decision method has been introduced to transform the original partition problem into a “satisfiability problem,” which can be solved in two steps, and the initial partition results are obtained using the implicit enumeration method, followed by static survivability check, interruptible load modification, and reactive compensation calculation. In this manner, the final scheme for the island partition is obtained. After that, based on the ant colony algorithm, the remaining network is reconstructed in the second stage. The effectiveness of the proposed strategy is verified by case studies in two test systems. [ABSTRACT FROM AUTHOR]