Repository logo

Operational Adequacy Evaluation of Bulk Electric Power Systems Integrated with Wind Power and Energy Storage



Journal Title

Journal ISSN

Volume Title






Degree Level



The evolution of power system planning, operation, and operational planning have continued over the years to economically supply reliable power to the electricity customers. Adequacy studies based probabilistic indicators have been extensively used by utilities in the system planning phase to support the investment decisions on new generation and transmission resources. Security studies are also instrumental in operating the system reliably taking the possibilities of component failures under consideration. With the uncertainties of modern renewable energy integrated power systems, existing utility procedures are inadequate to comprehend and to provide suitable quantitative indicators to assist in operational planning. New and unique approaches to operational planning are being implemented by jurisdictions across the globe to manage rising uncertainties in power generation from renewable sources like wind generation. It is desirable to standardize operational adequacy planning that can be implemented on modern power systems integrated with renewables and energy storage systems. This thesis aims at enhancing the operational planning by developing a standard framework to evaluate the adequacy of such planning. Such study based on the proposed framework has been termed as “operational adequacy” studies. A novel dynamic system state probability estimation approach for operational adequacy evaluation of a bulk power system has been developed using a probabilistic analytical methodology integrating concepts of wind power probability distribution, state enumeration, state transition matrix, and time series analysis to accommodate the operational as well as network characteristics. The methodology has been used to analyze the impact of unit commitment decisions, and the locational distribution of load and generation resources on the operational adequacy of the system. This methodology has been further enhanced to be implemented for the operational planning of wind integrated bulk power system by assessing the probable system risk and making necessary arrangements in advance when required. Energy storage systems (ESS) are being perceived as promising resources to support renewable integration due to their ability to absorb the variability and uncertainty arising from the wind generation. The operational strategy of ESS in coordination with highly variable renewable energy generation and system load needs to be carefully modeled as it is significant to the performance of the power system. The operational strategies are dictated by the different ownership schemes and market rules and regulations. Moreover, ESS and wind farms are primarily operated to maximize profits from the electricity market by participating in appropriate market opportunities like energy arbitrage, reserve services, frequency regulations, capacity markets, etc. The proposed operational adequacy evaluation framework is further extended and applied to a test system integrated with an ESS and wind generation to quantify the reliability, and economic benefits accrued from different operational strategies of ESS in coordination with wind generation and different electricity market opportunities. The coordinated operation of ESS and wind farms is also presented in long-term capacity market scenario to assess the contribution of ESS in augmenting the capacity value of wind resources in power system planning in terms of capacity deferral and reliability improvement. The operational adequacy evaluation framework will therefore be an useful tool to assist the system operators by providing quantitative indicators to measure and compare the adequacy of different alternatives available for the operational planning, thereby simplifying the decision making process.



Reliability, Bulk Electric Power System, Operational Adequacy, Operational Planning, Unit Commitment, Wind Generation, Wind Power Probability Table, Energy Storage Systems, Electricity Market, Operating Reserve



Doctor of Philosophy (Ph.D.)


Electrical and Computer Engineering


Electrical Engineering


Part Of