Abstract
With the widespread access of flexible loads and renewable energy, the power flow often exceeds the limit of line, resulting in the blockage of distribution network. Virtual power plant (VPP) can not only integrate multiple forms of energy, but also improve the penetration proportion of renewable energy sources. In view of the excellent ability of VPP in power market, a two-stage congestion management (CM) model involving virtual power plant (VPP) with cascade hydro-photovoltaic-pumped storage hybrid generators is established in this paper. The first stage is congestion management of ISO (Independent System Operator), which aims at minimizing congestion cost and is solved by genetic algorithm. The second stage is power correction model of virtual power plant, which is a multi-objective problem considering water and light curtailment, navigation and ecological needs. An improved hybrid non-dominated sorting genetic algorithm-II (HNSGA-II) is proposed to solve the two-stage model. Case studies show that the participation of virtual power plants in congestion management has certain economic value to power system. The joint dispatch of cascade hydro-photovoltaic-pumped storage hybrid generation in the virtual power plant can make flexible decisions according to the needs of energy saving, navigation and ecology. The improved HNSGA-II algorithm is superior to the traditional NSGA-II algorithm in convergence, uniformity and extensity.
Highlights
With the over-exploitation of fossil energy and the worsening of the ecological environment, environmental issues have become more and more important
Regarding the optimal dispatching strategy of hydropower, authors in [1] introduced the Gini coefficient to reflect the equilibrium degree of cascade hydropower distribution, and established an optimization model for cascade reservoirs considering the degree of equilibrium and peak regulation tasks before the flood
This paper considers virtual power plants (VPP) that integrate multiple resources in congestion management
Summary
With the over-exploitation of fossil energy and the worsening of the ecological environment, environmental issues have become more and more important. This paper established an optimization model of virtual power plant with cascade hydro-photovoltaic-pumped storage hybrid generators to integrate multiple energy resources. 3. This paper proposed an improved HNSGA-II algorithm to solve the multi-objective optimization problems, which improved the diversity and convergence of the solution. The virtual power plant optimizes dispatching of cascade hydropower, photovoltaic, and pumped storage according to the market clearance results, and updates its response strategy. A two-stage optimization model for congestion management with a virtual power plant is established. The operating costs of hydropower and photovoltaic units are not taken into consideration, and the objectives of the virtual power plant power correction model include the amount of water and light curtailment, as shown below.
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