Strategy Optimization and Simulation Analysis of Electricity-saling Companies under Renewable Portfolio Standard

Weiqiang Huo, Meiting Liu, Yang Tang, Feng Zhou

2022

Abstract

In the context of energy supply constraint and ecological problems, governments have actively promoted the development and utilization of renewable energy and released a series of incentive policies, one of which is China’s Renewable Energy Consumption Guarantee Scheme (RPS). Based on the RPS, this paper constructs an optimization model for the annual portfolio purchase strategy of power sales companies with the objective of studying how to optimize the portfolio purchase scheme and reduce the cost of power purchase. The simulation results show that, as RPS keeps developing and maturing, the subjects who do not complete their consumption responsibility will bear huge fines, so the optimal strategy is: when the price of renewable power is lower than that of conventional power, the purchase of renewable power should be given priority; if the consumption responsibility is still not fully satisfied at this time, the excess consumption of other subjects and the lower price of green certificates should continue to be purchased until the consumption responsibility is completed.

Paper Citation

in Harvard Style

Huo W., Liu M., Tang Y. and Zhou F. (2022). Strategy Optimization and Simulation Analysis of Electricity-saling Companies under Renewable Portfolio Standard. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 725-730. DOI: 10.5220/0011260600003440

in Bibtex Style

@conference{bdedm22,
author={Weiqiang Huo and Meiting Liu and Yang Tang and Feng Zhou},
title={Strategy Optimization and Simulation Analysis of Electricity-saling Companies under Renewable Portfolio Standard},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={725-730},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011260600003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Strategy Optimization and Simulation Analysis of Electricity-saling Companies under Renewable Portfolio Standard
SN - 978-989-758-593-7
AU - Huo W.
AU - Liu M.
AU - Tang Y.
AU - Zhou F.
PY - 2022
SP - 725
EP - 730
DO - 10.5220/0011260600003440