1-Smart grid und Sektorkopplung

[di8007]

Improvements can be made by providing a brief definition for Microgrids, an overview of agent types and structures(Grundlagen von Multiagentensystemen- Seite 5), and incorporating related questions at the end of the lecture to enhance understanding.

For example:

• What is the key deference that distinguishes the smart grid from normal grid ? I. Decentralized generation and advanced communication technology. (true) II. Single directional power flow. III. No integration of renewable energy.

• Which component is responsible for an agent’s interaction with the environment in a multi-agent system?

[JuliaHeiken]

I do not see the need for a definition of microgrids. Can you explain? You have right, after I reviewed the learning material i do realized that no need to any further definitions

An overview of agent types is given on page 6. What do you mean by agent structures? The questions are not quite accurate in my opinion.

[di8007]

I found this figure as good illustration of the description ( smart distribution grid _ Seite 2). https://en.wikipedia.org/wiki/Smart_grid#/media/File:Staying_big_or_getting_smaller.jpg

[JuliaHeiken]

Unfortunately, this image is published under a CC BY-SA license, which is more strict than our CC BY license. Therefore, we cannot use it.

[di8007]

' in Eigenschaften von Agenten (seite6) after the agent properties:

There are different types of agents, including:

• Reactive agents are designed to respond directly to the environment, without internal state or memory. They respond to stimuli and take immediate actions based on predefined rules or behaviors.
• Deliberative agents, on the other hand, have an internal state and memory that allows them to think, plan, and make decisions based on their goals and beliefs. They can consider multiple options and assess the consequences before acting.
• Hybrid agents combine reactive and deliberative capabilities, allowing them to respond quickly to immediate stimuli while simultaneously considering and planning long-term goals.
• References
• Bussmann, Stefan, et al. "Multiagent systems for manufacturing control: a design methodology." (2004). (https://books.google.de/booksid=IQyBSo_KVrYC&printsec=frontcover&hl=de&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false)
• Wooldridge, Michael. An introduction to multiagent systems. John wiley & sons, 2009.
• Balaji, Parasumanna Gokulan, and Dipti Srinivasan. "An introduction to multi-agent systems." Innovations in multi-agent systems and applications-1 (2010): 1-27. (https://link.springer.com/chapter/10.1007/978-3-642-14435-6_1)
• Russell, Stuart J., and Peter Norvig. Artificial intelligence a modern approach. London, 2010. (https://people.engr.tamu.edu/guni/csce421/files/AI_Russell_Norvig.pdf)
• From the lecture of MAS nots

German. Es gibt verschiedene Arten von Agenten, darunter:

• Reaktive Agenten sind so konzipiert, dass sie direkt auf die Umgebung reagieren, ohne internen Zustand oder Speicher. Sie reagieren auf Reize und führen auf der Grundlage vordefinierter Regeln oder Verhaltensweisen sofortige Aktionen aus.
• Deliberative Agenten hingegen verfügen über einen inneren Zustand und ein Gedächtnis, das es ihnen ermöglicht, auf der Grundlage ihrer Ziele und Überzeugungen zu denken, zu planen und Entscheidungen zu treffen. Sie können mehrere Optionen in Betracht ziehen und die Konsequenzen abschätzen, bevor sie handeln.
• Hybride Agenten kombinieren reaktive und deliberative Fähigkeiten und können so schnell auf unmittelbare Reize reagieren und gleichzeitig langfristige Ziele berücksichtigen und planen.

[di8007]

In the section Agentensysteme (seite 7),

The choice of structure in a Multi-Agent System (MAS) hinges on the system's specific requirements, which include the characteristics of the agents, their objectives, and the environment they operate in. Additionally, the selection process must account for the communication protocols agents use to exchange data, as well as the coordination mechanisms that manage their interactions and dependencies. It's crucial to consider these factors when designing or selecting an organizational structure for a MAS, ensuring the system's effectiveness and efficiency. Examples of the MAS structure: Decentralized , Distributed , Coalition, and FIPA Architecture etc..

• References:

• Salamon, T. "Design of Agent-Based Models: Developing Computer Simulations for a Better Understanding of Social Processes In: Repin." Czech Republic: Bruckner Publishing (2011). (https://books.google.de/books?id=2rCdKnltaH8C&printsec=frontcover&hl=de&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false)

• Russell, Stuart J., and Peter Norvig. Artificial intelligence a modern approach. London, 2010. (https://people.engr.tamu.edu/guni/csce421/files/AI_Russell_Norvig.pdf)

• Weyns, Danny, Andrea Omicini, and James Odell. "Environment as a first class abstraction in multiagent systems." Autonomous agents and multi-agent systems 14 (2007): 5-30.(https://link.springer.com/article/10.1007/s10458-006-0012-0)

• from the MAS lecture nots German: Die Wahl der Struktur in einem Multi-Agenten-System (MAS) hängt von den spezifischen Anforderungen des Systems ab, zu denen die Merkmale der Agenten, ihre Ziele und die Umgebung, in der sie tätig sind, gehören. Darüber hinaus muss der Auswahlprozess die Kommunikationsprotokolle berücksichtigen, die Agenten zum Austausch von Daten verwenden, sowie die Koordinationsmechanismen, die ihre Interaktionen und Abhängigkeiten verwalten. Es ist entscheidend, diese Faktoren bei der Gestaltung oder Auswahl einer Organisationsstruktur für ein MAS zu berücksichtigen, um die Wirksamkeit und Effizienz des Systems zu gewährleisten.

Beispiele für die MAS-Struktur: Dezentrale, verteilte, Koalitions, und FIPA-Architektur.

[JuliaHeiken]

Thank you, can you please add references?