A “Source-Grid-Load-Storage” Cooperative Optimization Method Based on Consensus Algorithm

doi:10.3969/j.issn.1000-7229.2018.08.001

Abstract

Abstract: The large-scale application of renewable energy and energy storage has made the power system gradually transform into a complex structure of “source-gird-load-storage”. In order to fully exploit the response characteristics of elastic load and the flexibility of energy storage, multi-agent based collaborative optimization of “source-gird-load-storage” has become increasingly important. In this paper, a “source-gird-load-storage” coordinated scheduling model is proposed, with the consideration of transmission loss. Consensus algorithm is adopted to solve the model. Numerical simulation results show that the collaborative optimization model can improve the renewable energy consumption；the consensus algorithm rapidly gives the optimal solution and has the same precision with globally optimized particle swarm algorithm.

Key words: source-gird-load-storage, consensus algorithm, optimal dispatch, elastic demand, marginal price

CLC Number:

TM 73

ZHANG Xin, DENG Lirong, LI Jingguang, WANG Kang, CHEN Weihong, LI Jiale. A “Source-Grid-Load-Storage” Cooperative Optimization Method Based on Consensus Algorithm[J]. Electric Power Construction, 2018, 39(8): 2-8.

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