The LIINES is happy to announce the publication of the journal article “The need for holistic enterprise control assessment methods for the future electricity grid”, by Prof. Amro M. Farid (Dartmouth), Bo Jiang (MIT), Aramazd Muzhikyan (Dartmouth), and Prof. Kamal Youcef-Toumi (MIT) in the journal Renewable and Sustainable Energy Reviews.
In this comprehensive literature-based study, the LIINES presents a logical case for integrating power grid assessment methods into a holistic enterprise control framework. Such a framework is explicitly techno-economic and merges methods power systems engineering and economics. To support the argument, the LIINES has conducted the most comprehensive review of renewable energy integration studies completed to date.
The paper discusses the need for change in the assessment of the electricity grid as a result of five driving forces. The driving forces are identified as: decarbonization, growth of electricity demand, transportation electrification, electric power deregulation, and increasing numbers of responsive (“smart”) consumers. These five drivers require the steadily increasing penetration of solar and wind generation as well as evolving capabilities to support demand side management for the tremendous diversity of loads that connect to the electrical grid. The integration of these three new grid technologies of renewable energy, electric vehicles, and demand side resources ultimately imposes fundamental changes to the grid’s structure and behavior.
The paper argues that the future electric grid’s needs for reliability, cost efficiency and sustainability necessitates a holistic assessment approach. Figure 1 shows a guiding structure that leads to five techno-economic control objectives. This work also uses five lifecycle properties to integrate rather than decompose the engineering design. The lifecycle properties core to the power grid are dispatchability, flexibility, forecastability, stability, and resilience. The use of these five properties avoids overlap in function of solutions.
Using such a holistic paradigm for techno-economic assessment, the journal paper conducts the most comprehensive review of renewable energy studies completed to date. It found several limitations to the existing renewable energy integration studies. Firstly, in order to address the holistic nature of the power grid, the real potential of demand side resources needs to be included. Additionally, for power grid balancing, validated simulations rather than statistical methods based on questionable assumptions need to be used. Furthermore, the consistency between future development of the real market structure and modeling methods needs to be assured. Finally, the investment costs related to the support of the future power grid need to be considered in simulation.
Thus, the paper concludes based on the defined model requirements and the assessment of the current literature, that a framework for holistic power grid enterprise control assessment needs to satisfy the following requirements:
- Allows for an evolving mixture of generation and demand as dispatchable energy resources
- Allows for an evolving mixture of generation and demand as variable energy resources
- Allows for the simultaneous study of transmission and distribution systems
- Allows for the time domain simulation of the convolution of relevant grid enterprise control functions
- Allows for the time domain simulation of power grid topology reconfiguration in operation time scale
- Specifically addresses the holistic dynamic properties of dispatchability, flexibility, forecastability, stability, and resilience
- Represents potential changes in enterprise grid control functions and technologies as impacts on these dynamic properties
- Accounts for the consequent changes in operating cost and the required investment costs.
These requirements have been realized in a power grid enterprise control simulator that was used for an extensive study of renewable energy integration in the power grid [Link 1], [Link 2]. The simulator includes the physical electrical grid layer and incorporates primary, secondary, and tertiary control functions. This model fits the requirements of the holistic enterprise control method as defined previously.
LIINES Website: http://engineering.dartmouth.edu/liines