A Prosumer-Centric Framework for Concurrent Generation and Transmission Planning -- Part II
Ni Wang, Remco Verzijlbergh, Petra Heijnen, Paulien Herder

TL;DR
This paper introduces a prosumer-centric framework for simultaneous generation and transmission planning, demonstrating its effectiveness through three case studies using realistic European power system data.
Contribution
It presents a novel framework for concurrent planning that incorporates prosumer behavior and market uncertainties, extending previous work with practical case studies and negotiation simulations.
Findings
Optimal planning decisions are achievable in all case studies.
The framework can handle uncertainties in future market designs.
Prosumers' preferences significantly impact system costs and planning outcomes.
Abstract
We propose a framework where generation and transmission capacities are planned concurrently in market environments with a focus on the prosumers. This paper is a continuation of Part I and presents numerical results from three archetypal case studies. Following the proposed framework, optimal planning decisions are shown in all the cases. Furthermore, in case study I, no-regret planning decisions considering the uncertainties in future electricity market designs are discussed. In case study II, we look at a situation where the social resistance of wind energy prevails and the prosumers choose to not invest in wind energy. This preference results in an increased system cost, and thus may harm other prosumers. The framework is used as a negotiation simulator to deal with this problem. Case study III presents numerical results for a mixed bilateral/pool market. The case studies utilize…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Integrated Energy Systems Optimization · Electric Power System Optimization
