A Prosumer-Centric Framework for Concurrent Generation and Transmission Planning -- Part I

TL;DR

This paper introduces a prosumer-centric framework for concurrent generation and transmission planning in decentralized electricity markets, modeling different market types and preserving prosumer privacy through distributed optimization.

Contribution

It presents novel planning models for peer-to-peer, pool, and mixed markets, along with distributed algorithms for privacy-preserving decentralized planning.

Findings

Models reveal individual costs and benefits of prosumers and operators.

Distributed algorithms enable privacy-preserving decentralized decision-making.

Framework supports long-term planning in prosumer-centric electricity markets.

Abstract

The growing share of proactive actors in the electricity markets calls for more attention on prosumers and more support for their decision-making under decentralized electricity markets. In view of the changing paradigm, it is crucial to study the long-term planning under the decentralized and prosumer-centric markets to unravel the effects of such markets on the planning decisions. In the first part of the two-part paper, we propose a prosumer-centric framework for concurrent generation and transmission planning. Here, three planning models are presented where a peer-to-peer market with product differentiation, a pool market and a mixed bilateral/pool market and their associated trading costs are explicitly modeled, respectively. To fully reveal the individual costs and benefits, we start by formulating the optimization problems of various actors, i.e. prosumers, transmission system operator, energy market operator and carbon market operator. Moreover, to enable decentralized planning where the privacy of the prosumers is preserved, distributed optimization algorithms are presented based on the corresponding centralized optimization problems.