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Probabilistic pricing of ramp service in power systems with wind and solar generation

Mahir Sarfati, Mohammad Reza Hesamzadeh, Darryl R. Biggar and Ross Baldick

Renewable and Sustainable Energy Reviews, 2018, vol. 90, issue C, 851-862

Abstract: This paper proposes a probabilistic pricing which achieves efficient operation of and investment in ramp-service providers in power systems with a large amount of wind or solar generation. The proposed pricing differs from the existing literature in that it focuses exclusively on the efficient dispatch of electrical energy with no exogenous consideration of the need for reserves or balancing services. The proposed optimal dispatch task determines both the efficient level of any preventive actions taken before a contingency event occurs and the efficient response of the power system - i.e., corrective actions - once an event occurs. We show analytically that the efficient dispatch outcome can be achieved in a decentralized market mechanism provided the market participants are profit-maximizers and price-takers. We show how the total economic benefit of an investment can be decomposed into two components (a) the normal dispatch cost benefit and (b) the economic value of the investment in contributing ramp service to the power system. In order to study different aspects of the probabilistic pricing, the IEEE 30-node example system is deliberately modified. The results show the efficiency of the proposed pricing and the use of the investment model to assess the economic value of ramp-service providers.

Keywords: Power system flexibility; Probabilistic pricing; Investment in ramp-service providers (search for similar items in EconPapers)
Date: 2018
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