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Load recovery is a major problem in scheduling demand response (DR) in a power system where they significantly increase the cost of electricity supply during off-peak periods. This paper analyses such intertemporal recovery effects on each customer and each involved stakeholder, using a novel financial valuation method termed `securitization'. Based on this local analysis, a global market clearing system is designed with the aim of maximizing a total market surplus, derived from the recovery-based DR, for all customers and stakeholders. The proposed DR scheduling approach via the securitization and market clearing is tested and its efficiency reported. Its potential applications as part of the future smart grid is also discussed.

This paper proposes a novel assessment framework for estimating short-term financial benefits of demand response (DR) to be delivered to a deregulated power system. First, the framework analyzes DR costs and benefits for participants in a DR market, and for generators and retailers in the electricity trading market. Based on these local analyses, a global evaluation is performed to determine whether the optimized DR can produce a positive social surplus. If so, the DR will be dispatched during the time period under consideration. Case study is given on the Roy Billinton test system (RBTS) to show the usefulness of the proposed assessment framework and to examine its scalability.