This chapter presents an energy management policy aimed at increasing the integration of renewable energy into existing power and energy systems operations, ultimately moving towards carbon-neutral energy systems. The policy is based on the coordinated dispatch of multi-energy systems, exploiting the flexibility provided by energy storage assets. This complementary operation modifies the traditional role of large reservoir hydropower plants, allowing them to compensate for renewable energy variability and uncertainty during the balancing stage. Within this framework, the proposal deals with alternative schemes to enhance the allocation of renewable energy reserves. These policy-based reserves play a crucial role in ensuring power systems stability and providing frequency support. To address the operational challenges and constraints posed by non-convexities and non-linearities in the optimal power flow, a second-order cone programming problem is employed. The policy is embedded in a receding horizon control strategy. The effectiveness of this policy is evaluated in a renewable-dominated virtual power plant located in Argentina. The results demonstrate the significant benefits of adopting this approach, particularly in facilitating a gradual transition towards conic and stochastic electricity market paradigms.

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Coordinated Operation of Water- and Renewable-Based Energy Systems

  • Luis Ignacio Levieux,
  • Fernando A. Inthamoussou,
  • Hernán De Battista

摘要

This chapter presents an energy management policy aimed at increasing the integration of renewable energy into existing power and energy systems operations, ultimately moving towards carbon-neutral energy systems. The policy is based on the coordinated dispatch of multi-energy systems, exploiting the flexibility provided by energy storage assets. This complementary operation modifies the traditional role of large reservoir hydropower plants, allowing them to compensate for renewable energy variability and uncertainty during the balancing stage. Within this framework, the proposal deals with alternative schemes to enhance the allocation of renewable energy reserves. These policy-based reserves play a crucial role in ensuring power systems stability and providing frequency support. To address the operational challenges and constraints posed by non-convexities and non-linearities in the optimal power flow, a second-order cone programming problem is employed. The policy is embedded in a receding horizon control strategy. The effectiveness of this policy is evaluated in a renewable-dominated virtual power plant located in Argentina. The results demonstrate the significant benefits of adopting this approach, particularly in facilitating a gradual transition towards conic and stochastic electricity market paradigms.