Reliability and Market Price of Energy in the Presence of Intermittent and Non-Dispatchable Renewable Energies

TL;DR

This paper models the impact of renewable energy intermittency on electricity market prices and reliability, incorporating risk measures to quantify costs and congestion effects as renewable penetration increases.

Contribution

It introduces a market clearing price model that accounts for renewable uncertainties using CVAR, providing new insights into costs and congestion impacts.

Findings

Higher renewable penetration increases market prices and consumer costs.

Renewable uncertainties lead to higher committed power and generator profits.

Congestion constraints limit the impact of renewable variability on committed power.

Abstract

The intermittent nature of the renewable energies increases the operation costs of conventional generators. As the share of energy supplied by renewable sources increases, these costs also increase. In this paper, we quantify these costs by developing a market clearing price of energy in the presence of renewable energy and congestion constraints. We consider an electricity market where generators propose their asking price per unit of energy to an independent system operator (ISO). The ISO solve an optimization problem to dispatch energy from each generator to minimize the total cost of energy purchased on behalf of the consumers. To ensure that the generators are able to meet the load within a desired confidence level, we incorporate the notion of load variance using the Conditional Value-at-Risk (CVAR) measure in an electricity market and we derive the amount of committed power and market clearing price of energy as a function of CVAR. It is shown that a higher penetration of renewable energies may increase the committed power, market clearing price of energy and consumer cost of energy due to renewable generation uncertainties. We also obtain an upper-bound on the amount that congestion constraints can affect the committed power. We present descriptive simulations to illustrate the impact of renewable energy penetration and reliability levels on committed power by the non-renewable generators, difference between the dispatched and committed power, market price of energy and profit of renewable and non-renewable generators.