4.4 Article

Impact of LRIC pricing and demand response on generation and transmission expansion planning

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 13, Issue 5, Pages 679-685

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2018.5328

Keywords

power generation planning; power transmission economics; power transmission reliability; investment; demand side management; pricing; resource allocation; optimisation; costing; power transmission planning; LRIC pricing; traditional expansion planning models; usage-based practices; complete utilisation; existing resources; price-based incentives; consumers; expansion cost; transmission expansion planning framework; future nodal load growth; incremental cost-based pricing signals; economically distributed demand; consumer usage charges; network investment; financially beneficial framework; peak demand conditions; time-of-use-based demand response mechanism; price-based response; future demand; combined generation; proposed expansion planning models; grid resources; network reinforcement; generation expansion planning

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Traditional expansion planning models reflect usage-based practices and do not consider the complete utilisation of existing resources. This problem arises due to non-inclusion of price-based incentives provided to the consumers who incur additional network reinforcement or expansion cost. The paper proposes a generation and transmission expansion planning framework that includes price-based incentives to define the future nodal load growth. The framework implements long-run incremental cost (LRIC)-based pricing signals for economically distributed demand to minimise consumer usage charges as well as network investment. Peak demand conditions by consumers are further minimised by the time-of-use-based demand response mechanism. The combined effects of price-based response and demand response are reflected in the future demand which serves as the basis for combined generation and transmission expansion planning. The case studies highlight the drawbacks of the conventional approaches which does not maximise the utilisation of existing grid resources while the proposed framework results in delayed investment strategies as a collective effort of the users and planner to optimise grid resources and the cost of assessing the electricity.

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