Research on the Model of Integrated Resource Planning Based on Externality Costs of Renewable Energy

Article Preview

Abstract:

Renewable energy generation technologies have lower externality costs but higher private costs than fossil fuel-based generation. As a result, the choice of renewable in the future generation mix could be affected by the industrys future market-oriented structure because market objectives based on private value judgments may conflict with social policy objectives toward better environmental quality. A multi-period linear programming-based model (Resource Planning Model) is used to characterize todays electricity supply market in China. This paper incorporated the externality costs and outage costs with the long-term resource planning model in an open market. Also, the model has the objectives of maximizing the total social value. Meanwhile, the discount rate is used in the model to capture the dynamic change of different costs. A set of integrated models have been developed with some limitation, such as generation limitation, capacity limitation, annual electricity limitation, demand and demand state limitation. At last, applying the model for the resource planning of Yunnan Province in planning period shows that the decrease of the share of fossil fuel generation and the increase of the renewable energy generation which evaluates the reliability and validity of the model.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4212-4217

Citation:

Online since:

March 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] ZHONG Su-liang. The characteristic and meaning of electricity planning in foreign country[J]. East China Electric Power, 2010, 38(10): 1644-1647.

Google Scholar

[2] LIANG Zhou, FU Yu-jie, YANG Peng-ju. Integrated resource planning models considering inter-regional transmission and related empirical research[J]. East China Electric Power, 2009, 37(9): 1565-1568.

Google Scholar

[3] ZHOU Jing-hong, HU Zhao-guang, TIAN Jian-wei. Model and application of integrated resource planning[J]. Automation of Electric Power Systems, 2010, 34(11): 19-22.

Google Scholar

[4] ZENG Ming, ZHANG Yan-fu, WANG He. A linear programming on resource combination optimization based on integrated resources planning[J]. Automation of Electric Power Systems, 2007, 31(3): 24-28.

Google Scholar

[5] SARKAR A. Energy efficiency opportunities and instruments for market transformation [EB/OL]. [2007-12-01]. http: / www. worldbank. org/energy.

Google Scholar

[6] AWERBUCH S, DILLARD J, MOUCK T, et al. Capital budgeting, technological innovation and the emerging competitive environment of the electric power industry[J]. Energy Policy, 1996, 24(2): 195-202.

DOI: 10.1016/0301-4215(95)00129-8

Google Scholar

[7] BAKKEN J I, LUCAS N. Integrated resource planning and environmental pricing in a competitive and deregulated electricity market [J]. Energy Policy, 1996, 24(3): 239-244.

DOI: 10.1016/0301-4215(95)00132-8

Google Scholar