Electric power distribution, Electric power distribution-Economic aspects, Electric power systems, Distributed generation of electric power-Mathematical models, Power resources-Environmental aspects, Power resources-Prices-Mathematical models, Elasticity (Economics)-Econometric models, Electric power, Distributed generation, Microgrid, Smart grid, Electricity market, Droop control, Agent learning
Growing environmental concerns, recent technological advances and the restruc- turing of the electricity industry have brought about increased attention to the need and potential for a more e cient and sustainable electric power system. Distributed energy resources (DER), such as small-scale renewable generation, storage technolo- gies, and responsive loads, can potentially reduce greenhouse gas emissions and im- prove the e ciency of the power system. Smart grid technologies, supported by appropriate control strategies and market rules, could allow for greater integration of DER into the power system and electricity market operations. This thesis integrates a price-based control mechanism into the conventional frequency droop control mechanism to present an integrated droop-based control framework that could facilitate greater participation of DER in regional energy and ancillary services markets. The proposed control framework makes use of the concept of \price droop," which is based upon the concepts of frequency droop and own price elasticity. An agent-based learning framework is developed for the determination of the price droop values and a state-space microgrid model is developed to test the proposed framework. The robustness and reliability of the proposed droop-based control framework is demonstrated through a series of case studies. The results highlight the need to consider the dynamics of the existing system in the design of market rules and control strategies to allow for the integration of DER and microgrids into the power system.
Tee, Chin Yen, "Market integration of distributed resources through coordinated frequency and price droop" (2011). Honors Project, Smith College, Northampton, MA.
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