Ross Baldick
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Ross Baldick has a total of 148 co-authors. Here are the top co-authors by number of shared publications:
- Yonghong Chen
Midcontinent Independent System Operator, Inc., Carmel, IN, USA
7 shared publications - Sriram Vishwanath
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
6 shared publications - Deepjyoti Deka
Department of Electrical & Computer Engineering The University of Texas at Austin
5 shared publications - Javad Lavaei
Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, California 94720
5 shared publications - Manuel Garcia
Los Alamos National Laboratory, Los Alamos, NM, USA
4 shared publications - Mohammad Reza Hesamzadeh
KTH Royal Institute of Technology
4 shared publications
Latest Publications
- 1 March 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 41 (2) , 1135-1147
Wind Power Scenario Generation Based on the Generalized Dynamic Factor Model and Generative Adversarial Network
- 1 March 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 41 (2) , 1135-1147
Wind Power Scenario Generation Based on the Generalized Dynamic Factor Model and Generative Adversarial Network
- Open Access
Definition and Formulation of Inertia Service Incorporating Inverter-Based Resources
Increasing concerns over the scarcity of inertia have motivated the procurement of inertia as an ancillary service (AS). Despite numerous academic and practical efforts, there remains a lack of consensus regarding the definition and treatment of inertia service in market operations, particularly the specification of inertia variables and the separation between synchronous inertia (SI) from synchronous generators and virtual inertia (VI) from inverter-based resources. To address these issues, this paper proposes a power-oriented (P-oriented) definition based on inertial response, which establishes conceptual consistency between SI and VI and makes the inertia service commensurable with other ASs. This definition explicitly incorporates both positive and negative inertial responses during frequency drop events. We then formulate a security-constrained economic dispatch framework based on this P-oriented definition and demonstrate its practical effectiveness through simulations. Case studies on a modified IEEE 30-bus system show that the proposed bidirectional service definition ensures price signals that reflect the economic value of inertial provision.
Open AccessDefinition and Formulation of Inertia Service Incorporating Inverter-Based Resources
Increasing concerns over the scarcity of inertia have motivated the procurement of inertia as an ancillary service (AS). Despite numerous academic and practical efforts, there remains a lack of consensus regarding the definition and treatment of inertia service in market operations, particularly the specification of inertia variables and the separation between synchronous inertia (SI) from synchronous generators and virtual inertia (VI) from inverter-based resources. To address these issues, this paper proposes a power-oriented (P-oriented) definition based on inertial response, which establishes conceptual consistency between SI and VI and makes the inertia service commensurable with other ASs. This definition explicitly incorporates both positive and negative inertial responses during frequency drop events. We then formulate a security-constrained economic dispatch framework based on this P-oriented definition and demonstrate its practical effectiveness through simulations. Case studies on a modified IEEE 30-bus system show that the proposed bidirectional service definition ensures price signals that reflect the economic value of inertial provision.
- 15 October 2025
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 205
A grid-scale study of demand bidding by large industrial users
- 15 October 2025
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 205
A grid-scale study of demand bidding by large industrial users
- 21 August 2025
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 204
A demand bidding model for multi-product industrial plants
- 21 August 2025
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 204
A demand bidding model for multi-product industrial plants
- Open Access
- 13 March 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 13, 56385-56398
Co-Optimization of Ancillary Services Providing Primary Frequency Control in the Day-Ahead Market
Large-scale integration of inverter-based resources (IBRs) challenges primary frequency control because IBRs don’t typically respond to frequency fluctuations, which is partially due to a lack of financial incentives. To address this, we consider four ancillary service products for primary frequency control: Primary Frequency Response (PFR) reserve, which accommodates droop control, Fast Frequency Response (FFR) reserve, Virtual Inertia (VI) reserve, and synchronous inertia. The available frequency response reserve requirement is proposed, which ensures sufficient available PFR and FFR reserve to cover the largest contingency. To ensure that PFR reserve is available fast enough to contribute to primary frequency control, we propose enforcing novel rate-based PFR reserve limits that vary with inertia and FFR reserve and are constructed by a simulation-based heuristic. The proposed requirements are incorporated into the unit-commitment problem and are compatible with the equivalency ratio requirement used by the Electric Reliability Council of Texas (ERCOT). Results are provided using an ERCOT test case. We illustrate that PFR reserve limits currently used by ERCOT may be insufficient due to generator ramping limitations, while the addition of our rate-based limits would not significantly increase cost. We also illustrate that including VI reserve allows storage devices to fully utilize their power and energy capacities.
- 13 March 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 13, 56385-56398
Open AccessCo-Optimization of Ancillary Services Providing Primary Frequency Control in the Day-Ahead Market
Large-scale integration of inverter-based resources (IBRs) challenges primary frequency control because IBRs don’t typically respond to frequency fluctuations, which is partially due to a lack of financial incentives. To address this, we consider four ancillary service products for primary frequency control: Primary Frequency Response (PFR) reserve, which accommodates droop control, Fast Frequency Response (FFR) reserve, Virtual Inertia (VI) reserve, and synchronous inertia. The available frequency response reserve requirement is proposed, which ensures sufficient available PFR and FFR reserve to cover the largest contingency. To ensure that PFR reserve is available fast enough to contribute to primary frequency control, we propose enforcing novel rate-based PFR reserve limits that vary with inertia and FFR reserve and are constructed by a simulation-based heuristic. The proposed requirements are incorporated into the unit-commitment problem and are compatible with the equivalency ratio requirement used by the Electric Reliability Council of Texas (ERCOT). Results are provided using an ERCOT test case. We illustrate that PFR reserve limits currently used by ERCOT may be insufficient due to generator ramping limitations, while the addition of our rate-based limits would not significantly increase cost. We also illustrate that including VI reserve allows storage devices to fully utilize their power and energy capacities.
- 1 November 2023
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Operations Research
- Vol. 71 (6) , 1925-1927
Preface to Special Issue on Computational Advances in Short-Term Power System Operations
- 1 November 2023
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Operations Research
- Vol. 71 (6) , 1925-1927
Preface to Special Issue on Computational Advances in Short-Term Power System Operations
- 1 November 2023
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Operations Research
- Vol. 71 (6) , 1978-1996
Optimization Formulations for Storage Devices with Disjoint Operating Modes
- 1 November 2023
- Published by Institute for Operations Research and the Management Sciences (INFORMS) in Operations Research
- Vol. 71 (6) , 1978-1996
Optimization Formulations for Storage Devices with Disjoint Operating Modes
- Open Access
Ancillary Services in Power System Transition Toward a 100% Non-Fossil Future: Market Design Challenges in the United States and Europe
The expansion of variable generation has driven a transition toward a 100\% non-fossil power system. New system needs are challenging system stability and suggesting the need for a redesign of the ancillary service (AS) markets. This paper presents a comprehensive and broad review for industrial practitioners and academic researchers regarding the challenges and potential solutions to accommodate high shares of variable renewable energy (VRE) generation levels. We detail the main drivers enabling the energy transition and facilitating the provision of ASs. A systematic review of the United States and European AS markets is conducted. We clearly organize the main ASs in a standard taxonomy, identifying current practices and initiatives to support the increasing VRE share. Furthermore, we envision the future of modern AS markets, proposing potential solutions for some remaining fundamental technical and market design challenges.
Open AccessAncillary Services in Power System Transition Toward a 100% Non-Fossil Future: Market Design Challenges in the United States and Europe
The expansion of variable generation has driven a transition toward a 100\% non-fossil power system. New system needs are challenging system stability and suggesting the need for a redesign of the ancillary service (AS) markets. This paper presents a comprehensive and broad review for industrial practitioners and academic researchers regarding the challenges and potential solutions to accommodate high shares of variable renewable energy (VRE) generation levels. We detail the main drivers enabling the energy transition and facilitating the provision of ASs. A systematic review of the United States and European AS markets is conducted. We clearly organize the main ASs in a standard taxonomy, identifying current practices and initiatives to support the increasing VRE share. Furthermore, we envision the future of modern AS markets, proposing potential solutions for some remaining fundamental technical and market design challenges.
- 12 October 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Energy Markets, Policy and Regulation
- Vol. 2 (1) , 52-62
Transmission Investment Coordination Using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle
This paper considers the investment coordination problem for the long term transmission capacity expansion in a situation where there are multiple regional Transmission Planners (TPs), each acting in order to maximize the utility in only its own region. In such a setting, any particular TP does not normally have any incentive to cooperate with the neighboring TP(s), although the optimal investment decision of each TP is contingent upon those of the neighboring TPs. A game-theoretic interaction among the TPs does not necessarily lead to this overall social optimum. We, therefore, introduce a social planner and call it the Transmission Planning Coordinator (TPC) whose goal is to attain the optimal possible social welfare for the bigger geographical region. In order to achieve this goal, this paper introduces a new incentive mechanism, based on distributed optimization theory. This incentive mechanism can be viewed as a set of rules of the transmission expansion investment coordination game, set by the social planner TPC, such that, even if the individual TPs act selfishly, it will still lead to the TPC's goal of attaining overall social optimum. Finally, the effectiveness of our approach is demonstrated through several simulation studies.
- 12 October 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Energy Markets, Policy and Regulation
- Vol. 2 (1) , 52-62
Transmission Investment Coordination Using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle
This paper considers the investment coordination problem for the long term transmission capacity expansion in a situation where there are multiple regional Transmission Planners (TPs), each acting in order to maximize the utility in only its own region. In such a setting, any particular TP does not normally have any incentive to cooperate with the neighboring TP(s), although the optimal investment decision of each TP is contingent upon those of the neighboring TPs. A game-theoretic interaction among the TPs does not necessarily lead to this overall social optimum. We, therefore, introduce a social planner and call it the Transmission Planning Coordinator (TPC) whose goal is to attain the optimal possible social welfare for the bigger geographical region. In order to achieve this goal, this paper introduces a new incentive mechanism, based on distributed optimization theory. This incentive mechanism can be viewed as a set of rules of the transmission expansion investment coordination game, set by the social planner TPC, such that, even if the individual TPs act selfishly, it will still lead to the TPC's goal of attaining overall social optimum. Finally, the effectiveness of our approach is demonstrated through several simulation studies.
- 30 March 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Sustainable Energy
- Vol. 14 (4) , 2192-2204
Optimal Battery Energy Storage Control for Multi-Service Provision Using a Semidefinite Programming-Based Battery Model
Battery energy storage systems (BESS) capable of simultaneously providing multiple grid services can assist a distribution grid operator in overcoming various challenges due to the high penetration of distributed solar photovoltaics and accelerated electrification. The seamless provision of multiple services can be ensured with BESS control decisions based on an accurate model reflecting the battery characteristics. Thus, this paper presents a novel Li-ion battery model based on linear matrix inequalities along with a semidefinite programming (SDP)-based model to determine the optimal BESS control decisions for the provision of multiple services in distribution systems. Peak shaving, power factor improvement, and electricity cost savings are considered for the services. Moreover, the mathematical analysis reveals that the original nonconvex problem can be equivalently transformed into the SDP model. The effectiveness of using BESS in the distribution system is verified through simulations using real-world data. Ultimately, a comparative analysis with a conventional linear model demonstrates that the proposed battery model reduces the energy losses in the batteries, in the simulation condition, and help maintain the battery states within normal operating limits.
- 30 March 2023
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Sustainable Energy
- Vol. 14 (4) , 2192-2204
Optimal Battery Energy Storage Control for Multi-Service Provision Using a Semidefinite Programming-Based Battery Model
Battery energy storage systems (BESS) capable of simultaneously providing multiple grid services can assist a distribution grid operator in overcoming various challenges due to the high penetration of distributed solar photovoltaics and accelerated electrification. The seamless provision of multiple services can be ensured with BESS control decisions based on an accurate model reflecting the battery characteristics. Thus, this paper presents a novel Li-ion battery model based on linear matrix inequalities along with a semidefinite programming (SDP)-based model to determine the optimal BESS control decisions for the provision of multiple services in distribution systems. Peak shaving, power factor improvement, and electricity cost savings are considered for the services. Moreover, the mathematical analysis reveals that the original nonconvex problem can be equivalently transformed into the SDP model. The effectiveness of using BESS in the distribution system is verified through simulations using real-world data. Ultimately, a comparative analysis with a conventional linear model demonstrates that the proposed battery model reduces the energy losses in the batteries, in the simulation condition, and help maintain the battery states within normal operating limits.