Robust approach for minimizing costs in power-distribution networks

February 11, 2019, Tokyo Institute of Technology
Dealing with uncertainty when scheduling power generators Credit: Takayuki Ishizaki, Tokyo Institute of Techology

Scientists at Tokyo Institute of Technology have developed a new method for scheduling the activation and deactivation of power generators that minimizes costs and ensures reliability while addressing the issues prevalent in previous methods.

Electrical generators have start-up and shut-down times and associated costs. Because multiple generators are generally available at any given time, and they cannot be activated or deactivated quickly, network operators usually schedule these "on" and "off" operations in advance according to predicted loads in order to reduce costs. These schedules are made based on mathematical models and strategies that deal with a tradeoff involving minimizing costs and saving energy on the one hand, and ensuring reliability on the other.

One such family of mathematical optimization problems is referred to as "unit commitment (UC)" and has been used to determine the required states (on/off) of generators in . As mentioned before, these problems and the are determined in advance, which implies having to deal with uncertainty in multiple variables across the board, such as load, generator availability and failures, and renewable energy input. Available methods to devise such schedules have several disadvantages. Some of them take the scheduled period as a whole and require accounting for the dynamics of the generators and uncertain variables, but this uncertainty is usually not properly addressed and overly conservative schedules are obtained. Other methods are unable to deal with energy storage systems, which are essential for renewable energy technologies.

Considering these problems, a team of researchers from Tokyo Institute of Technology (Tokyo Tech), led by Professor Jun-ichi Imura, developed a novel UC with an interesting twist to overcome these issues. "The proposed method has advantages over previous UC methods in several ways and explicitly addresses their main issues," explains Imura. In their approach, instead of taking the scheduled period as a whole and having to deal with system dynamics, the period is divided into timeslots to be dealt with (optimized for) individually in "real time". To do this, the uncertain values in the model are independently given upper and lower limits for each timeslot, and the interplay of these limits and other constraints are used to derive feasible optimal solutions. What's more, the method can be adjusted to consider potential outages.

The team conducted simulations to demonstrate how the proposed method works and compared its results with those obtained using existing methods. Unlike previously reported approaches, their method was completely reliable and did not result in any power surplus or shortage. "The proposed method represents a practical framework for non-anticipative and robust UC," concludes Mr. Cho, the lead author of the paper that explains the team's efforts.

The researchers will continue working on various aspects of their new approach, such as on other ways to calculate the limits for the uncertain variables for each timeslot, to further improve the results. The development and implementation of such efficient strategies in power-distribution networks will ensure access to cheap and reliable electricity.

Explore further: Symmetry is essential for power network synchronization

More information: Youngchae Cho et al, Box-based Temporal Decomposition of Multi-period Economic Dispatch for Two-stage Robust Unit Commitment, IEEE Transactions on Power Systems (2019). DOI: 10.1109/TPWRS.2019.2896349

Related Stories

Symmetry is essential for power network synchronization

May 9, 2018

A joint research team from Tokyo Institute of Technology (Tokyo Tech) and North Carolina State University has clarified the fundamental principles for achieving the synchronization of power generator groups in power networks, ...

Chinese researchers develop algorithms for smart energy grid

October 20, 2016

A fallen tree, a lightning strike—it doesn't take much to disrupt the electrical grid. An outage could last just a few minutes, but restoring electricity to millions of people typically takes hours, days or even weeks. ...

Making wind farms more efficient

November 7, 2018

With energy demands rising, researchers at Penn State Behrend and the University of Tabriz, Iran, have completed an algorithm—or approach—to design more efficient wind farms, helping to generate more revenue for builders ...

Recommended for you

What rising seas mean for local economies

February 15, 2019

Impacts from climate change are not always easy to see. But for many local businesses in coastal communities across the United States, the evidence is right outside their doors—or in their parking lots.

Where is the universe hiding its missing mass?

February 15, 2019

Astronomers have spent decades looking for something that sounds like it would be hard to miss: about a third of the "normal" matter in the Universe. New results from NASA's Chandra X-ray Observatory may have helped them ...


Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.