Abstract

The integration of numerous intermittent renewable energy sources (IRESs) poses challenges to the power supply-demand balance due to the inherent intermittent and uncertain power outputs of IRESs, which requires higher operational flexibility of the power system. The deployment of flexible ramping products (FRPs) provides a new alternative to accommodate the high penetration of IRESs. Given this background, a bi-level risk-limiting real-time unit commitment/real-time economic dispatch model considering FRPs provided by different flexibility resources is proposed. In the proposed model, the objective is to maximize the social surplus while minimizing the operational risk, quantified using the concept of conditional value-at-risk (CVaR). Energy and ramping capabilities of conventional generating units during the start-up or shut-down processes are considered, while meeting the constraints including unit start-up/shut-down trajectories and ramping up/down rates in consecutive time periods. The Karush–Kuhn–Tucker (KKT) optimality conditions are then used to convert the bi-level programming problem into a single-level one, which can be directly solved after linearization. The modified IEEE 14-bus power system is employed to demonstrate the proposed method, and the role of FRPs in enhancing the system flexibility and improving the accommodation capability for IRESs is illustrated in some operation scenarios of the sample system. The impact of the confidence level in CVaR on the system operational flexibility is also investigated through case studies. Finally, a case study is conducted on a regional power system in Guangdong Province, China to demonstrate the potential of the proposed method for practical applications.

Highlights

  • The ever-increasing penetration of intermittent renewable energy sources (IRESs) such as wind power and photovoltaic power generation brings about higher variability and uncertainty, which poses a serious challenge to the operational flexibility of a power system [1]

  • The integration of a high proportion of IRESs into a power grid results in higher variability and uncertainty to the power system, and flexible ramping products (FRPs) provide a new alternative for accommodating the high-proportion IRESs

  • This paper proposes a bi-level risk-limiting RTUC/RTED model considering

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Summary

Introduction

The ever-increasing penetration of intermittent renewable energy sources (IRESs) such as wind power and photovoltaic power generation brings about higher variability and uncertainty, which poses a serious challenge to the operational flexibility of a power system [1]. The deviation or the steep changing rate of the net load demand beyond anticipation may lead to insufficient ramping capability even with sufficient installed generation capacity, and results in a price spike in the electricity market, undesired curtailment of IRESs, and/or compulsory load shedding It is indispensable for the integration of high penetration of IRESs to ensure that the required operational flexibility is maintained in the power system concerned. A bi-level risk-limiting RTUC/RTED model considering FRPs provided by generating units and DR resources is proposed with the objective of maximizing the social surplus while minimizing the operational risk. A risk-limiting RTUC/RTED model with FRPs provided by conventional generating units and DR resources is formulated, in which the energy and ramping capabilities of conventional generating units during start-up or shut-down processes are considered.

Definition of Flexibility and Acquisition of Flexibility Resources
Flexible Ramping Product
Problem Formulation
Upper Level
Objective Function
Supply and Demand of Power and Ramping Capability
Unit Commitment Logic disp
Formulation of Conditional Value-at-Risk
Objective Function and Constraints
Solution Methology
Evaluation Approach
Case Studies and Numerical Results
The Role of FRPs in Enhancing the Operational Flexibility
Effects of the Confidence Level in CVaR on the Operational Flexibility
A Case Study on Guangdong Power Grid in China
The curtailment of IRESs occurs during
Conclusions
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