Transactive-Market-Based Operation of Distributed Electrical Energy Storage with Grid Constraints

M. Nazif Faqiry, Lawryn Edmonds, Haifeng Zhang, Amin Khodaei and Hongyu Wu
Additional contact information
M. Nazif Faqiry: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA
Lawryn Edmonds: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA
Haifeng Zhang: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA
Amin Khodaei: Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA
Hongyu Wu: Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA

Energies, 2017, vol. 10, issue 11, 1-17

Abstract: In a transactive energy market, distributed energy resources (DERs) such as dispatchable distributed generators (DGs), electrical energy storages (EESs), distribution-scale load aggregators (LAs), and renewable energy sources (RESs) have to earn their share of supply or demand through a bidding process. In such a market, the distribution system operator (DSO) may optimally schedule these resources, first in a forward market, i.e., day-ahead, and in a real-time market later on, while maintaining a reliable and economic distribution grid. In this paper, an efficient day-ahead scheduling of these resources, in the presence of interaction with wholesale market at the locational marginal price (LMP), is studied. Due to inclusion of EES units with integer constraints, a detailed mixed integer linear programming (MILP) formulation that incorporates simplified DistFlow equations to account for grid constraints is proposed. Convex quadratic line and transformer apparent power flow constraints have been linearized using an outer approximation. The proposed model schedules DERs based on distribution locational marginal price (DLMP), which is obtained as the Lagrange multiplier of the real power balance constraint at each distribution bus while maintaining physical grid constraints such as line limits, transformer limits, and bus voltage magnitudes. Case studies are performed on a modified IEEE 13-bus system with high DER penetration. Simulation results show the validity and efficiency of the proposed model.

Keywords: distribution system market; transactive energy; electrical energy storage; distributed generation; load aggregation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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